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new Request a free sample copy in PDF or view the report summary: https://www.expertmarketresearch.com/reports/telemedicine-market/requestsampleTelemedicine Market OverviewUnderstanding Telemedicine This encompasses a wide range of services, from virtual doctor consultations to remote patient monitoring and telepharmacy. Telemedicine eliminates the need for physical presence, making healthcare services accessible to individuals globally.Market Size and Growth The telemedicine market achieved a substantial market size of USD 73.1 billion in 2023 and is poised to continue its growth journey with a CAGR of 19.3% from 2024 to 2032, ultimately reaching a staggering USD 377.0 billion by 2032. This remarkable growth can be attributed to several key factors, which we will explore in detail.Telemedicine Market DynamicsTechnological Advancements The rapid evolution of technology is a driving force behind the telemedicine boom. High-speed internet, smartphones, wearable devices, and improved telecommunication infrastructure have all played pivotal roles in making remote healthcare services accessible. Telemedicine platforms now boast high-quality video and audio capabilities, ensuring seamless communication between patients and healthcare providers.Increased Adoption of Teleconsultation The widespread acceptance of teleconsultation has been steadily increasing. Patients have come to appreciate the convenience and accessibility of virtual appointments, particularly for non-emergency consultations. The COVID-19 pandemic further accelerated this trend, highlighting the importance of remote healthcare services.External Telemedicine Market TrendsChanging Regulatory Landscape Governments and regulatory bodies worldwide are adapting to accommodate telemedicine. They are implementing policies and regulations to ensure patient safety, data privacy, and the growth of telehealth services. Staying informed about these evolving regulations is crucial for telemedicine providers.Remote Monitoring and IoT Integration The integration of Internet of Things (IoT) devices into telemedicine has opened up new possibilities. Remote monitoring of vital signs and health parameters enables proactive healthcare management. Patients can transmit real-time data to healthcare professionals, leading to more accurate diagnoses and treatment adjustments.Explore the full report with the table of contents: https://www.expertmarketresearch.com/reports/telemedicine-marketTelemedicine Market SegmentationPatient Demographics Telemedicine serves a diverse range of patients, from tech-savvy individuals to the elderly and those residing in remote areas with limited healthcare access. Understanding these demographics is vital for tailoring services effectively.Specialty Areas Telemedicine extends beyond general consultations to various specialty areas, including telepsychiatry, teledermatology, teleoncology, and more. Each specialty has unique requirements and considerations, necessitating market segmentation.Telemedicine Market GrowthGlobal Expansion Telemedicine knows no geographical boundaries. Its reach is expanding worldwide, with healthcare providers, tech companies, and startups entering the market from different corners of the globe. This global expansion is contributing significantly to the industry's rapid growth.Improved Patient Outcomes Research indicates that telemedicine can lead to improved patient outcomes. Timely consultations, continuous monitoring, and better access to healthcare professionals contribute to early diagnosis and effective management of various medical conditions.Recent Developments in the Telemedicine MarketTelemedicine Platforms Telemedicine platforms are continually evolving to offer more features and capabilities. Many now integrate electronic health records (EHRs), prescription management, and secure patient messaging, enhancing the overall patient experience.AI and Telemedicine Artificial intelligence (AI) is making its presence felt in telemedicine. Machine learning algorithms are being employed to analyze medical data, predict patient outcomes, and enhance diagnostic accuracy. The integration of AI promises to revolutionize telemedicine further.Telemedicine Market ScopePatient Convenience Telemedicine offers unparalleled convenience to patients. They can schedule appointments at their convenience, eliminating the need for lengthy commutes and extended wait times in crowded waiting rooms.Cost Savings Telemedicine presents cost savings for both patients and healthcare providers. Patients save on travel expenses and time, while healthcare providers can optimize their resources more efficiently.Telemedicine Market AnalysisKey Players The telemedicine market boasts a diverse array of key players, including established healthcare institutions, technology firms, and startups. Prominent players include Teladoc Health, Amwell, Doctor on Demand, and numerous others. These companies offer a wide array of telehealth services and continue to innovate in the field.Patent Analysis Analyzing patents is crucial to understanding the technological innovations propelling the telemedicine market. It offers insights into the key players' areas of focus and hints at potential future developments.Grants and Funding Monitoring grants and funding within the telemedicine sector provide valuable insights into market trends and growth areas. Government support and private investment often signify confidence in the market's potential.Clinical Trials Clinical trials within the telemedicine realm are essential for validating the efficacy and safety of remote healthcare solutions. Keeping abreast of ongoing trials can provide valuable information about emerging telemedicine treatments and technologies.Partnerships and Collaborations Partnerships and collaborations among telemedicine providers, healthcare organizations, and technology companies are commonplace. These alliances often result in innovative solutions and expanded service offerings.FAQ: Addressing Common Questions1. Is telemedicine as effective as in-person visits? Telemedicine has proven highly effective for many types of consultations and follow-ups. However, certain cases necessitate physical examinations or procedures, mandating in-person visits.2. Is telemedicine secure and private? Telemedicine platforms prioritize security and privacy, employing encryption and adhering to stringent data protection regulations to safeguard patient information.3. How can I access telemedicine services? Accessing telemedicine services is straightforward. Many healthcare providers have their telemedicine platforms or collaborate with established telehealth companies. Patients can typically schedule appointments through websites or mobile apps.4. Will insurance cover telemedicine consultations? Insurance coverage for telemedicine varies by provider and policy. Many insurance companies now offer coverage for telehealth services, but it's essential to verify specific plan details.Related Report:Surgical Robots Market...openPR.com, 12h ago
new As GenAI continues to evolve, experts anticipate the reduction of AI costs over time, although this will be accompanied by the demand for increased processing power to accommodate added functionality. While AI developers work to make AI more efficient and cost-effective, the focus remains on keeping power consumption in check. This balance between innovation and energy efficiency is crucial to ensuring that GenAI remains accessible and economically viable for businesses.CDInsights, 15h ago
new Tel Aviv – November 20, 2023 –Lasso Security, innovators in Large Language Models (LLMs) cybersecurity, today announced a $6 million seed round led byEntrée Capital with the participation ofSamsung Next. Every few years there's a major technological revolution. In the 90s, it was the internet; in the 2010s, it was the cloud and most recently, we have Generative AI. The revolution that Gen AI and LLMs technologies have brought to organizations has been significantly embraced by hundreds of millions of end-users and hundreds of thousands of organizations. This swift adoption also presents a pressing issue — the significant cybersecurity challenges posed by LLMs, including data exposure, security and compliance risks. Lasso is setting the standard for LLM cybersecurity by safeguarding every LLM touchpoint, ensuring unrivaled, comprehensive protection for businesses leveraging Gen AI and other large language model technologies. The company intends to utilize the funds to expand its team and further enhance its offerings.darkreading.com, 17h ago
new The integration of future-oriented technologies, notably Artificial Intelligence (AI), is at the core of the Dubai Economic Agenda D33’s ambitious goal to generate an annual economic value of Dh100 billion through digital transformation initiatives over the next decade. Partnerships with the world’s foremost technology players like Google are integral to Dubai’s efforts to enhance its technology ecosystem and accelerate growth, efficiency and innovation in the industry, Sheikh Maktoum said.Khaleej Times, 17h ago
new Since its inception, Cranium's dedication to making AI security attainable by working with global leaders in health sciences, financial services, consumer packaged goods, and retail showcases its versatility and holistic view of the AI industry. As the first-ever technology spinout out of KPMG's startup incubator, Cranium's mission is to secure the AI revolution, enabling organizations to secure their AI technologies. Cranium's unique design and features, grounded in years of industry experience and high-level partnerships, lend it a distinct edge in the increasingly crowded cybersecurity market.darkreading.com, 17h ago
new No doubt, we have discussed this critical infrastructure topic many times before. In October of this year, I wrote about AI and critical infrastructure trends: “The Department of Homeland Security is looking to become one of the 'early and aggressive adopters' of AI tools within the federal government, and is taking steps to protect critical infrastructure from AI-powered cyber attacks.”This is also part of the growing nature of nation-state cyber attacks. Cyber war and regional tensions with China, Ukraine and Israel have all contributed to this challenge, as highlighted by CSO Magazine: “With active kinetic wars in two major global arenas and fears that China is stealthily infiltrating critical infrastructure for future cyber disruption, experts at this year’s Cyberwarcon painted a picture of the growing harm that malicious cyber tools can wreak.”But Microsoft’s main blog has also focused on this critical infrastructure cyber attacks topic recently, with a twist including espionage:“In the past year, cyberattacks have touched 120 countries, fueled by government-sponsored spying and with influence operations (IO) also rising. At times, nearly half of these attacks targeted NATO member states, and more than 40% were leveled against government or private-sector organizations involved in building and maintaining critical infrastructure. While headline-grabbing attacks from the past year were often focused on destruction or financial gain with ransomware, data shows the predominant motivation has swung back to a desire to steal information, covertly monitor communication, or to manipulate what people read.”One more: Infosecurity Magazine offers this recent piece describing critical infrastructure cyber attacks in detail, including sources and specific modes of attack against governments and private-sector companies.You can watch this video to learn more about what is being done to address these cyber challenges against critical infrastructure by the Department of Defense and hear an unclassified overview of their new cyber defense strategy.GovTech, 1d ago

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new Can we trust machines with our medical data—one of our live’s most personal and private aspects? As AI is becoming increasingly utilized in medical institutions to assist clinicians in diagnosing and treating patients, this has added a new dimension to bioethics. This topic is analyzed through a multidisciplinary approach on the design level (which refers to the technology’s reliability) and on the application level (which refers to the human impact on the use of AI). This paper frames the issue of AI and bioethics through the lens of technology, law, and healthcare stakeholders. In tackling these issues, the authors focus on five subjects that affect medical AI’s trustworthiness: data quality, algorithmic bias, opacity, safety and security, and responsibility attribution. They found that while AI systems have been shown to streamline treatment processes successfully, they are limited in terms of being only as good as the quality of data provided to them. As data given to medical AI tools is at times non-standardized, unstructured, and contains errors, the authors propose measures to institute AI tools that are more ethical and trustworthy.Montreal AI Ethics Institute, 1d ago
new Cover the entire AI lifecycle in your AI policy: Your AI policy should not simply focus on how AI models are developed or how they are used. Instead, create a comprehensive policy that covers everything from data preparation and training to model creation and development, model deployment, model monitoring, and model fine-tuning.eWEEK, 1d ago
new Generative AI is a ground-breaking technology, and we are excited to integrate it into Oracle NetSuite soon. The rapid progress in generative AI illustrates that other AI technologies are likely to see significant advancements as well. The future lies in a combination of various AI technologies and business applications. Large Language Models (LLMs) excel in understanding language and data, while traditional AI technologies are proficient in handling numerical data. The goal is to make AI seamless within the user experience. It should assist, advise, and adapt to users’ needs without requiring them to understand the underlying technology. In Oracle NetSuite, we’ve integrated generative AI seamlessly into everyday workflows. Our unique approach leverages the wealth of data within Oracle NetSuite to tailor the AI to the specific context and user requirements. Users can configure AI to match their company’s preferences, aligning with our philosophy of enabling easy configurability for all users.DATAQUEST, 2d ago

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With the advent of AI, there has been a significant structural shift in the banking industry, not only in the MENA region but across the globe. As technology evolves, the banking industry will likely see further advancements, with a focus on more sophisticated applications and a continued emphasis on improving customer journey, operational efficiencies, security & adherence to regulatory standards.There awaits a huge potential for growth in AI & Analytics adoption across the banking sector and an enormous opportunity for those entities that choose to seize it. But there are certain challenges & a range of factors contributing to their relatively low AI maturity that hinders positive business outcomes.This necessitates long term strategic collaborations, building viable partnerships, encouraging knowledge sharing, investing in talent development, community engagement and sincere commitment to building sustainable & futuristic banks of tomorrow.The Middle East Banking AI & Analytics Summit 2024 caters to the needs of the banking sector by creating a favorable environment for seamless exchange of critical information to help banks & financial institutions to cut through the complexities & seize the opportunities by getting back to the fundamentals.As these challenges are navigated, the banking industry can unlock the full potential of AI and analytics for growth and efficiency by identifying specific & practical uses cases of AI & analytics within their business operations.Do you want to achieve your business objectives? Join us in illuminating the path to innovative and effective solutions!Why to Attend?1. Stay Informed on Industry Trends: Gain insights into latest advancements, best practices, and innovative ideas in the field of AI & data analytics specific to the banking sector to stay ahead of the curve.2. Networking Opportunities: Open doors to collaborations, partnerships, and potential business opportunities. You can exchange ideas, discuss challenges, and build relationships that may prove valuable in your professional journey.3. Success Stories: Hear stories from industry leaders who have successfully leveraged AI & analytics to solve business problems, improve efficiency, and drive growth. Learning from the experiences of others can help you identify specific & practical uses cases within your business operations.4. Products & Solutions Exploration: Experience live demonstrations of relevant AI & analytics tools under one roof. Interacting with experts can help you understand the capabilities of different solutions, compare offerings, and make informed decisions about implementing AI and analytics technologies in your organization.5. Professional Development: This summit can contribute to your professional development by expanding your knowledge, skills, and expertise in the field of AI and analytics providing a global perspective & fostering exchanging of ideas.6. Industry Recognition: Enhance your visibility & credibility by attending and participating in then MEBANKINGAI Tech awards that recognizes outstanding contributions to the industry in the field of emerging technologies. Thematic Discussions:1. Leadership Strategies for Building Futuristic Banks in MENA2. Pioneering a Way Forward: Digital Transformation for a Dynamic Financial Ecosystem in the UAE3. Building Trust in the Era of AI-Powered Banking4. Powering the Future of Banking: Navigating the Challenges5. Data & AI at the Core of Banking Transformation6. Data Enablement for AI7. AI & Analytics: Game Changer for Security & Compliance in Financial Sector8. Elevating Your Customer Journey: AI & Analytics to the Rescue9. Data Ethics in Banking: Navigating the Regulatory norms.industryevents.com, 6d ago
The U.K.’s workforce is facing a unique predicament: a shortage of employees who are inclined to embrace emerging technologies, such as artificial intelligence (AI). As reported by Computer World, the data stems from Slack’s Workplace Personas Report — which surveyed over 2,000 workers in the U.K. and identified five distinct personality types in the workforce. The report suggests that only 11% of U.K. workers are categorized as “problem solvers,” a group characterized by their openness to adopt technologies and automate tasks to save time. It’s worth noting that this percentage was found to be noticeably lower than in countries like India and Japan, where problem solvers make up 23% and 20% of the workforce, respectively. The most common personality type in the U.K. is the “detective,” making up 34% of workers. These individuals are described as highly organized and prioritize efficiently sourcing information. According to the report “networkers,” who thrive on communication and collaboration, represent 27% of the surveyed group — showing a strong preference for building connections within the workplace. The “road warrior” personality, which reportedly values flexibility above all other factors, accounts for 21% of the survey’s respondents. Lastly, “expressionists,” who favor informal engagement and bring a sense of fun to the workplace through emojis and GIFs, make up 7% of the U.K.’s workforce. As AI and automation become increasingly integrated into the global workplace, the need for employees who can successfully adapt to and leverage new technologies will be important for career development and productivity. The U.K.‘s current deficit in “problem solvers” could damage its competitive edge in the global market that is increasingly embracing the new wave of AI tools. Companies will need to invest in training and development to nurture the problem solver mindset and ensure their employees are equipped to handle the demands of an evolving technological landscape. The future of work will not only demand technical skills but also the flexibility to adapt to new ways of working that these emerging technologies will bring.Allwork.Space, 25d ago
As jurisdictions around the world begin to shape regulations governing the use and development of artificial intelligence, IAPP Managing Director, Washington, D.C., Cobun Zweifel-Keegan, CIPP/US, CIPM, writes, "the policy discourse around AI systems is rife with imprecision and inconsistency." In his weekly dispatch from the U.S. capitol, Zweifel-Keegan discussed how various stakeholders and policymakers worldwide are crafting broad definitions of AI to establish requirements that differentiate between high-risk and low-risk AI systems. Editor's note: Explore the IAPP AI Governance Center and subscribe to the AI Governance Dashboard.Full story...iapp.org, 17d ago
...“Governments and organizations around the globe have begun to realize the pressing concern and need for a unified process, measurement metric, systems, tools, and methods to regulate the development and monitoring of AI systems for the larger good of the world. On the other hand, AI and analytics organizations developing and distributing AI solutions to client organizations across verticals have long been following methods and processes to offer responsible, ethical, and explainable AI systems and solutions that carefully balance innovation and impact.Best BPM Tools, Vendors, Software and BPMS, 24d ago
...“With the rapid development and adoption of AI, we have seen bad actors find new ways to exploit the technology and use it to create more sophisticated phishing attacks and deepfakes at scale. Generative AI can craft highly convincing phishing messages that mimic the writing style of a trusted contact, making it increasingly difficult to spot these malicious communications. Their top targets? Consumer identities.TahawulTech.com, 5d ago
Online surveys firm, SurveyMonkey, has released Build with AI, a new survey-creation feature powered by AI research and deployment company, OpenAI. Build with AI, the newest capability in the SurveyMonkey Geniusline-up of AI-enabled features, allows users to create surveys from just a written description, automating and accelerating the survey creation process. Build with AI is available now and is free for all SurveyMonkey users. With Build with AI, anyone can create tailored surveys and forms in as little as 30 seconds by typing a description of the desired survey or the feedback goal. The feature also offers a selection of prompts for popular feedback and research use cases that can be used instead of self-drafted descriptions. Users can then review the automatically-generated survey, edit as needed and send. The feature is available in more than 50 languages, and is integrated with existing SurveyMonkey Genius AI features, including AI capabilities across the survey creation, collection and analysis user experience.mobilemarketingmagazine.com, 13d ago

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new These are just a few of the myriad ways health systems can leverage AI to increase productivity, reduce costs, prevent human errors, and improve patient & staff experience. These are exciting and constantly evolving technologies, with regulations and industry standards in very early development stages. To ensure responsible and secure use, health systems should work with a trusted partner who is well-versed in AI and capable of closely monitoring and abiding by new regulatory & legislative policies.Healthcare Business Today, 2d ago
new Rivera: As organisations become increasingly reliant on technology, digital trust has emerged as a critical component of overall trustworthiness. Digital trust is a foundation for successful customer engagement, employee satisfaction and business partnerships. The best way to address today’s digital trust needs is through a comprehensive digital trust framework that addresses cyber security, data privacy and compliance. This includes implementing measures such as data protection and encryption, regular security assessments and employee training to create a culture of security. To prepare for tomorrow, effective investments in digital trust solutions include those that prioritise automation, AI and machine learning to streamline processes and enable continuous monitoring of data security. As technology evolves, so must our digital trust solutions. The organisations that invest in innovative digital trust solutions today will be well-positioned to build trust and thrive in the digital age. Many technology projects move too quickly and do not allow sufficient time to address complex ethical issues that may surface. We believe, first and foremost, in the value of integrity, of doing what is right and good for customers and for the planet at large. When we prioritise investments in technology, we look for those that not only help us perform more efficiently and more effectively, but also those that help build greater trustworthiness with customers.Financier Worldwide, 2d ago
new Abstract: Pneumonia remains the leading cause of infectious childhood deaths globally, resulting in more annual deaths than HIV, TB and diarrhoea combined. Therefore, innovation in the diagnosis and treatment of pneumonia is needed to achieve Sustainable Development Goal 3.2. Standardised guidelines in low and middle-income countries (LMICs) currently include counting respiratory rate to diagnose paediatric pneumonia; however, this vital sign is often not collected or collected poorly, resulting in missed cases and sub-optimal treatment. We aim to develop and assess artificial intelligence (AI) methods for the analysis of mobile phone video data to determine respiratory rates in children under-five years. We will address this through three objectives: 1) develop and assess the diagnostic agreement of an AI algorithm for measuring respiratory rate and predictive signs of pneumonia from existing videos of children from LMICs, with and without signs of pneumonia. 2) Compare the AI accuracy against human rater accuracy. 3) Determine the appropriateness and acceptability of an automated video-based mHealth app for measuring respiratory rate amongst caregivers in South Africa.umu.se, 2d ago
new The Artificial Intelligence and Generative AI Bible is an all-encompassing book simplifying the complex expanse of GenAI. Divided into five essential sections, it covers AI basics, deep learning, NLP, ethics, and future applications. This book breaks down intricate concepts, offering practical insights and real-life examples across diverse industries. It doesn’t just explain theories; it navigates ethical considerations and showcases AI’s potential impact. With a future-focused approach, it sparks curiosity, empowering readers to harness AI’s power for innovative solutions. Easy to follow and comprehensive, it serves as a compass for both beginners and experts in understanding and utilizing AI’s transformative capabilities.Zephyrnet, 2d ago
new I envision 2024 as a transformative year where the realms of Cybersecurity and Artificial Intelligence will increasingly intersect, reshaping the landscape of digital security. The adoption of AI-driven security products and services will rise significantly, leveraging machine learning algorithms to detect and alert against cyber threats in real-time. This marks a pivotal shift from traditional, reactive cybersecurity measures to more proactive, predictive models. However, AI will largely remain a co-pilot to Security Teams, not yet advanced enough to fully automate complex security tasks. I also anticipate a surge in Zero Day attacks and more sophisticated methods from Threat Actors, who are increasingly utilizing AI. This highlights the need for robust AI governance frameworks in organizations to ensure responsible and effective use of AI in cybersecurity, balancing technological advancements with ethical considerations.Thinkers360 | World’s First Open Platform For Thought Leaders, 2d ago
new The potential labor–management tensions around AI, as in recent strikes in the entertainment and automobile industries have highlighted, also will need to be navigated. But the labor shortages in health care and the high levels of burnout will dampen some of that pushback.medicalxpress.com, 2d ago

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SurveyMonkey has announced the international availability of Build with AI, a new survey creation feature powered by AI research and deployment company, OpenAI. Build with AI, the newest capability in the SurveyMonkey Genius® line-up of AI-enabled features, allows users to create surveys from just a written description, automating and accelerating the survey creation process. Build with AI is available now and is free for all SurveyMonkey users. With Build with AI, anyone can create tailored surveys and forms in as little as 30 seconds by typing a description of the desired survey or the feedback goal. The feature also offers a selection of prompts for popular feedback and research use cases that can be used instead of self-drafted descriptions for an even bigger head start. Users can then review the automatically generated survey, edit as needed and send. As organisations continue to see an increase in demand for feedback in a post-COVID-19 world, Build with AI allows users in marketing, insights, HR, IT, CX and more to collect granular feedback even faster.New Digital Age, 10d ago
The field of artificial intelligence is making rapid strides, but certain challenges still exist. Safety and security risks are significant concerns, particularly in sectors such as finance and the military. Smaller service providers may face cost barriers and the potential for disruption from malware attacks, necessitating careful consideration before adopting AI. However, in the hospitality industry, AI has had a profound impact, improving various aspects from room allocation to energy management. AI allows for personalization, forecasting, and even contributes to marketing and commercialization strategies, enhancing efficiency, productivity, and overall customer satisfaction. As technology continues to evolve, the rise of AI in hospitality signals an exciting future, with transformative changes that promise to reshape the way we experience travel and hospitality. The COVID-19 pandemic has accelerated the adoption of AI-powered tools, making it essential for optimizing operations and improving user experiences. In conclusion, AI is driving significant advancements in the travel and hospitality industries, and we can look forward to a future of unprecedented growth and development.DATAQUEST, 5d ago
The Biden administration last week announced it is setting up a federal organization dedicated to evaluating the safety of AI as it is used in healthcare as well as the broader societal concerns that have come to the forefront following the rapid acceptance of GPT (generative pre-trained transformer) AI-based software programs. The new U.S. AI Safety Institute will develop technical guidance for future regulatory rulemaking and enforcement efforts. This announcement follows an executive order signed earlier to establish guardrails for AI security and seeks to require developers to share their safety test results with the U.S. government. The Institute will operate under the National Institute of Standards and Technology (NIST), Gaithersburg, Maryland.Research & Development World, 27d ago

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new On 20 October, the Ministry of Industry and Information Technology issued the "Guiding Opinions on the Innovative Development of Humanoid Robots", providing a comprehensive and clear strategic plan for the development of humanoid robots for the first time in a standalone document. The opinions point out that humanoid robots, integrating advanced technologies such as AI, high-end manufacturing and new materials, are expected to become disruptive products following computers, smartphones, and new energy vehicles. They have the potential to profoundly transform the way of life and production and reshape the global industrial development landscape. As part of the "national team" for humanoid robots, UBTECH is expected to gain more development opportunities in technological breakthroughs and application expansion.acnnewswire.com, 2d ago
new KAREN HAO: I think what we've seen is not with, with open source models, I would not describe that as democratizing AI development in the way that I was sort of trying to evoke earlier. The thing about democratizing AI development and governance is that people should be also able to say that they don't want things to be released. So, you know, Meta has taken, they're sort of seen as a, as a bit of a champion around open source AI development. They've taken a stance of we're going to release these models and allow anyone to commercialize off of these models. But no one actually has a say other than Meta about whether they released those models, you know, so that in and of itself I think is undemocratic. And part of the, part of the issue as well with the way that Meta so-called "open sources" its AI models is they allow anyone to take it, download it, and manipulate it, but they don't actually tell anyone how this technology was developed. So one of the things that people have really pushed for heavily-researchers, certain researchers have pushed for heavily-is the fact that Meta or any company could actually open source the data that they use to train these models. You know, you could open source the data, understand far more about what's actually being poured into these technologies and you wouldn't actually accelerate necessarily- it's sudden proliferation everywhere. So one, one of the concerns with the way that Meta behaves that, you know, an OpenAI or other type of company that has a more closed model approach argues is, "Oh look Meta is just accelerating this race, this competitive race and actually creating more dangerous dynamics," sort of to your question of like, does that actually make things worse? And, and I would say like there are actually many ways to increase the democratic governance of these, these technologies and kind of the scientific examination of these technologies without actually accelerating this race such as the data open sourcing. And by doing that you then enable many more scientists to kind of study what actually we're- what are we even feeding these models to then also study how what we feed in relates to what comes out. And then you end up hopefully in a situation through a lot of more scientific research and debate and contestation just better models that don't break that work for more people that are hopefully less computationally intensive and less data intensive so they're not as costly to the environment. And you would end up with- what I think would be more beneficial AI development.Big Think, 2d ago
new Among the lowest-hanging fruit for AI in government involves press releases and other forms of communication from agencies to residents. Zencity, for example, debuted a ChatGPT tool that writes what amounts to a first draft of a press release — including potential quotes from public officials. That could save significant time for city managers, among other advantages, according to the company.Municipal budgeting, too, could serve as fertile ground for generative AI.A new AI tool from ClearGov takes in past budgeting data and future estimates to produce what officials sometimes call a budget narrative. Such narratives, which put spending figures into context, often help those officials sell the budget to peers and voters. AI could bring more efficiency to the process, usually the most difficult and contentious work undertaken by local and state governments.Generative AI also gained more of a presence in higher education in 2023. The technology can help with essays, math problems and lesson plans, with work completed within seconds. But fears of plagiarism and other abuses have led to a more cautious welcome for AI in universities and colleges than in city halls, with large school districts such as the one in New York City initially placing restrictions on ChatGPT.College deans and local school boards continue to grapple with the full implications of AI. So are other governmental bodies as the technology hogged more of the spotlight as 2023 progressed. Maine imposed a six-month ban on the use of AI for state employees using state devices or conducting state business. Officials said they needed time to study the privacy, bias and misinformation concerns sparked by ongoing deployment of AI-based products. Executive orders started to emerge at a regular clip as fall rolled around, with Pennsylvania, Virginia, Oklahoma and New Jersey governors all issuing guidance within a few weeks of each other. Their missives were followed within weeks by an AI Executive Order from the White House in late October. Each official action recognized both the potential and the risk, with many calling for outside help to develop appropriate policies for safe use in service of their residents.It’s almost impossible, however, to imagine a gov tech future without much more artificial intelligence. Evidence for that comes from every corner of the industry.For instance, industry giant Tyler Technologies touted its growing ability to use AI for quicker and more accurate court filings, whose complex coding and redaction requirements often force judicial employees to perform manual data entry. Klir’s new AI-backed offering is designed to improve water management and compliance, with what the company calls “holistic” views of utility systems delivered via a chatbot fueled by artificial intelligence.Startups, of course, have also embraced AI, as shown by the most recent cohort from CivStart’s gov tech accelerator program, which provides at least some foreshadowing of the tools public agencies might be using a few years from now. One of the program participants is using artificial intelligence to help local officials — many of them new to the grunt work of government — write and manage legislation.GovTech, 2d ago
Another trend that we have observed is that of cloud migrations and hybrid deployments of production solutions. Broadcast operations are adopting the cloud to increase flexibility and reduce costs, providing enhanced scalability, operational agility, and remote collaboration capabilities. For many organisations that have been traditionally reliant on on-premises technology, hybrid cloud ecosystems provide greater business continuity and content accessibility. They are leveraging the cloud to improve resilience, enrich content and metadata with advanced AI/ML technology, and strengthen disaster recovery.TVBEurope, 3d ago
Despite the challenges, the prospects for Quantum AI and cryptocurrencies in debt management are promising. The continuous development and refinement of Quantum AI algorithms, along with the growing adoption of cryptocurrencies, provide opportunities for innovative and efficient debt management strategies. With proper safeguards and regulations, the integration of Quantum AI and cryptocurrencies can revolutionize the way debt is managed.Techiexpert.com, 3d ago
The implications of this growth are huge. As Carla Gomes from the Cornell College AI for Science Institute notes, AI’s position in scientific discovery is an exciting new frontier. This initiative not solely paves the best way for extra environment friendly materials creation but additionally gives a complete database that may be utilized globally for additional analysis and growth. The combination of AI and robotics in materials synthesis signifies a paradigm shift in the best way scientific experimentation and discovery are approached, providing a extra environment friendly, exact, and expansive exploration of recent supplies.BlaQue Crypto News, 3d ago

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CoCreations is the leading provider of content and education in the use of AI for Communicators. With a mission to empower professionals in leveraging AI to enhance their communication strategies, CoCreations offers comprehensive educational resources, workshops, and events that bridge the gap between AI and the communication industry. Their Executive One Day AI Conferences bring together industry experts, thought leaders, and enthusiasts to foster collaboration, knowledge sharing, and innovation in the AI and communication domains.CoCreations, 23d ago
IGC Pharma (NYSE American: IGC) has announced its entry into a master cooperation agreement with the University of Los Andes for the development and adoption of generative AI solutions into the company’s drug identification, development and clinical trial processes. IGC Pharma will be focused on advancing various AI initiatives including streamlining clinical trial efficiency, enhancing early detection methods for Alzheimer’s disease, and improving drug interaction analysis. “We are very pleased to be partnering with the University of Los Andes to further our AI initiatives through the development and adoption of AI algorithms that have the potential to significantly enhance the treatment of Alzheimer’s disease and other chronic illnesses,” IGC Pharma CEO Ram Mukunda said of the collaboration. “We believe that generative AI solutions can have transformative applications for our company and the drug development industry overall, and we are committed to investing in and driving AI algorithm development and adoption. As we execute our strategic initiatives and position IGC Pharma at the forefront of AI adoption, we expect to gain a distinct competitive advantage as we streamline clinical trial efficiencies, enhance early detection of Alzheimer’s, improve methodologies for the analysis of drug interaction, and improve the treatment experience for patients, should our AI algorithms prove successful.”...InvestorWire (IW), 13d ago
Artificial Intelligence Chip Market Regional Insights:Regional insights into the Artificial Intelligence (AI) Chip Market unveil a diverse landscape influenced by unique factors within each geographical area. North America stands as a major player, driven by a robust ecosystem of tech companies and a strong emphasis on AI research and development. The region's early adoption of AI technologies in sectors like healthcare, finance, and autonomous vehicles contributes significantly to the demand for AI chips. Europe, with its focus on fostering innovation and sustainable technology, also plays a key role in the market. The Asia-Pacific region, particularly China, emerges as a powerhouse in AI chip manufacturing, buoyed by substantial investments, a burgeoning tech industry, and government support for AI initiatives. These regional dynamics underscore the importance of understanding localized trends, regulations, and market demands for effective navigation and strategic decision-making in the global AI chip market.openPR.com, 7d ago
AI governance can improve organizational access to and adoption of AI systems, driving innovation and process efficiencies. Proper governance can also prevent the duplication of efforts in the development and adoption of AI systems, and force meaningful business evaluations of AI use cases prior to investing in them.iapp.org, 12d ago
Leadership by the United States. The Executive Order recognizes that by promoting responsible innovation, competition, and collaboration, the United States can lead in AI and unlock its potential. The United States should invest in education, training, R&D, and capacity to attract the best AI talent and to promote responsible innovation, competition, and collaboration. The novel intellectual property rights questions that arise from the development and use of AI should be addressed, and unlawful collusion and monopoly over key assets and technologies should be stopped. The Executive Order also states that the federal government will promote a fair, open, and competitive ecosystem and marketplace for AI and related technologies to allow small developers and entrepreneurs to drive innovation in this area and prevent unlawful collusion that could arise in semiconductors, computing power, cloud storage, and the availability and use of data.natlawreview.com, 17d ago
Furthermore, quantization aligns with emerging AI trends, like federated learning and AI at the edge, opening up new frontiers of innovation. As we witness the continued evolution of AI, model quantization stands as a vital tool, ensuring that AI can reach a broader audience, deliver real-time insights, and adapt to the evolving demands of diverse industries. In this dynamic landscape, model quantization serves as a bridge between AI’s power and its deployment’s practicality, forging a path toward more efficient, accessible, and sustainable AI solutions.Zephyrnet, 17d ago

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AI and deep learning models often function like enigmatic containers. The technology performs tasks without always revealing their inner workings or reasoning. This lack of transparency raises trust issues since these models might make decisions that are biased or unsafe. There is no clear accountability. Efforts are underway to make AI more transparent and explainable so that we can better understand its operations. However, achieving widespread accessibility and ease of use for these transparent AI systems is still a work in progress.Techiexpert.com, 3d ago
The future of medicine is shifting to cloud computing, where health care providers can access patient information from anywhere at any time. This transformative shift will facilitate rapid and efficient treatment decisions, which can be crucial in emergency situations. As the fields of AI and neuroscience advance, the development of methods to interpret brain activity becomes increasingly imminent. Recent studies have already demonstrated the feasibility of such interpretation for specific brain regions. Decoding patterns of neural activity will unlock insights into the underlying mechanisms of cognitive function and behavior, potentially revolutionizing medical treatments. However, these developments also present challenges to HIPAA regulation and raise additional privacy concerns for intellectual property derived from this information. Moreover, a basic goal of integrating AI into the medical field is to train agents to identify abnormal brain scans. To do this, datasets must be expanded by several orders of magnitude, because medical diagnoses often are highly individualized with significant variability in symptom characteristics. Ensuring data security is crucial in protecting patients’ privacy and encouraging participation in neuroimaging studies. Ultimately, the integration of AI and cloud computing has the potential to revolutionize various aspects of health care. Giordano’s research will help address a vital step toward this goal: the creation of a secure encryption method capable of handling large medical imaging file formats while preserving the content and patient privacy.newswise.com, 3d ago
As Webster concludes, ultimately, humans should be accountable for AI. “While some people talk about giving AI systems legal rights, accountability must rest with those who make decisions about AI use and deployment. It's the responsibility of humans to ensure that AI systems are governed correctly, that biases are addressed, and that ethical considerations are upheld. Having strong data and AI governance practices in place helps uphold accountability by guiding the responsible use of AI.”...technologymagazine.com, 3d ago

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Mobile networks are increasingly becoming programmable. AI and ML are advanced forms of software that will enable more powerful decision-support and touch-free operations in customer-facing network domains. At the same time, energy efficiency is and will be a fundamental expectation for communication service providers, as will be the development and deployment of secure and robust AI systems.pipelinepub.com, 3d ago
The lab is expected to function as an opportunity to promote deeper collaboration in research and development. Part of its mission will be to create a platform suitable for multiple operations and nurture the next generation of talent to resolve societal issues via the application of advanced AI technology.eCommerceNews Australia, 3d ago
Skilling and Education Programs: Microsoft will make investments in AI talent and education programs that are comprehensive in nature, with the primary goal of providing one million people in the United Kingdom with the skills necessary to construct and work with artificial intelligence. As part of this program, enhanced training will be provided to individuals who are beginning or transitioning into a career in artificial intelligence. The curriculum will include artificial intelligence fluency, technical skills, AI business transformation, and encouraging safe and responsible AI development. Additionally, the program will offer the first Professional Certificate on Generative AI. This program will be developed in partnership with numerous learning and non-profit partners. It is also going to give learning modules on responsible AI principles for customers and partners in the United Kingdom. These learning modules will be derived on...CoinGenius, 3d ago
AI-based data centers will encourage operators to use data-driven decision-making. AI will also help operators monitor server performance, network congestion, and disk utilization, which will be beneficial in predicting and forecast data and power outages. AI can enhance data center infrastructure and facilitate more intelligent and automated data management. Moreover, deploying AI and ML workloads in data centers will increase the installation of these systems in the future. It is also expected that vendors providing traditional data center cooling systems will partner with liquid immersion and direct liquid cooling vendors to support their existing data center customers in deploying HPC clusters.Customization Request If our report does not include the information you are searching for, you may contact us to have a report tailored to your specific business needs https://www.arizton.com/customize-report/3672GEOGRAPHICAL ANALYSIS...openPR.com, 3d ago
In the fast-paced world of project management, staying ahead of timelines and ensuring seamless collaboration among team members is crucial. With the advent of Language Model (LLM) and Artificial Intelligence (AI) technologies, project managers now have powerful tools to streamline project tracking tasks. Let us explore how project managers can leverage LLMs and AI tools to enhance their efficiency and accuracy in project tracking and the latest tools available for these activities.CoinGenius, 3d ago
Additional presentations were provided by U.S. Department of Transportation, NASA, the U.S. Naval Research Labs, XWing, SAAB, Daedalean, AVSI, Collins Aerospace, and the AIA Civil Aviation Cybersecurity Subcommittee. Each presentation brought a unique perspective on safety assurance, regulatory pathways, workforce readiness, and the challenges of AI/ML methods in developing aviation systems. The workshop participants shared a commitment to move forward with the conversation while acknowledging the risk of over specifying which can stifle innovation. A recurring theme from participants was the value AI and ML can bring to the aviation industry and the need to continue exploring the risks and benefits while remaining cognizant of the safety and security concerns.RTCA, 3d ago

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...“Building upon A Manifesto In Defense of Democracy and the Rule of Law in the Age of ‘Artificial Intelligence’, we, the Transatlantic Reflection Group on Democracy and the Rule of Law in the Age of ‘Artificial Intelligence’, have reconvened to draft a second consensus manifesto that calls for the effective and legitimate enforcement of laws concerning AI systems. In doing so, we recognise the important and complementary role of standards and compliance practices. Whereas the first manifesto focused on the relationship between democratic law-making and technology, this second manifesto shifts focus from the design of law in the age of AI to the enforcement of law. Concretely, we offer 10 recommendations for addressing the key enforcement challenges shared across transatlantic stakeholders. We call on those who support these recommendations to sign this manifesto. The Fifth Edition of The Athens Roundtable on AI and the Rule of Law will take place on November 30th and December 1st, 2023. It will delve into pressing governance challenges posed by foundation models and generative AI across jurisdictions.”...bespacific.com, 3d ago
NASHVILLE, TN, UNITED STATES, December 1, 2023 /EINPresswire.com/ -- Department store chain Macy’s, Inc. could see over $7.5 billion in business improvements by the end of the decade due to Artificial Intelligence (AI) according to new research from IHL Group, a leading technology research and advisory firm. The Retail AI Readiness Profiles research nearly 200 North American public retailers and restaurant chains, evaluates the companies based on AI Readiness, providing invaluable insights into the potential impact AI can bring to their organizations. According to the research, Macy’s could see as much as $3.8 billion in increased sales, $2.1 billion in improved gross margins through lower product costs, more optimized pricing, and supply chain improvements, and then reduce by $1.7 billion sales and generative administrative costs through 2029.“Our research approach was to start by looking at opportunities from an industry-level, then to the segment and specific retailer level leveraging our public and private data,” said Greg Buzek, President of IHL Group. “We then applied a 9-point algorithm to each company that measured items like data maturity, analytics maturity, alignment with key vendors, as well as free cash flow.”The research includes gains that can be made through traditional AI/ML technologies, Generative AI, and the potential for Artificial General Intelligence. These figures do not include any savings from reducing headcount, rather they focus on creating more efficiency and supporting growth/lower expenses through greater efficiencies only. These figures do not consider any cost savings resulting from workforce reduction. Instead, it solely emphasizes the creation of greater efficiency to support growth and reduce expenses. In total, each of the retailer profiles includes the following data:• Total AI Impact from 2022-2029: Combined impact from traditional AI/ML, Generative AI, and Artificial General Intelligence.• Annual Impact by Income Statement Category: Gains in sales, gross margins, or lower operating costs.• Total AI Readiness Score and Rankings vs Competitors: Shows competitiveness in segment and overall retail market• AI Impact by Line of Business: Explore the AI potential in Merchandising/Supply Chain, Sales & Marketing, Commerce, Infrastructure, BI/Analytics, Store Systems, and other areas such as Collaboration, ERP, and Legal.• Benefits by Specific Solutions: For instance, under Merchandising/Supply Chain gain insights on benefits gained via Order Management, Assortment and Allocation Planning, Distribution Systems, Warehouse Management, etc. For a glimpse into the rich data and insights provided by these profiles, you can access the Macy’s profile here.The Retail AI Readiness Profiles are available for individual companies or enterprises can access the entire directory of profiles with ongoing access to updated data as systems evolve.About IHL Group:IHL Group is a global research and advisory firm headquartered in Franklin, Tennessee, that provides market analysis and business consulting services for retailers and information technology companies that focus on the retail, hospitality, and consumer goods industries. For more information, see www.ihlservices.com, call 615-591-2955 or e-mail [email protected]. Press inquiries, please use [email protected] or the phone number above.Note: This report is intended for informational purposes and does not constitute financial or investment advice. Please refer to the complete report and methodology for a detailed understanding of the data and analysis.CMSWire.com, 3d ago
Additionally, Microsoft is investing millions to train one million UK workers in AI, collaborating with learning and non-profit partners. The focus is on building AI fluency, developing technical skills, supporting business transformation, and promoting safe AI development and use.electronicspecifier.com, 3d ago
Moreover, the reliance on technology in agriculture brings forth the need for robust infrastructure and digital literacy among farmers. In low-resource settings, where connectivity is often a challenge, ensuring that the benefits of AI are accessible to all requires thoughtful planning and strategic investment. As we delve into the nuances of AI in agriculture this month, we must remain mindful of the potential risks and work collaboratively to develop solutions that mitigate these challenges.Agrilinks, 3d ago
The evolution of AI technology is outpacing concerns for security and privacy, which is a top concern for anyone in security leadership. API security is another concern that has become a greater priority in recent years. Not only are there more points of entry, but the bad actors have become more competent and have more tools in their arsenal for API attacks. Also, the pandemic blurred the lines between home and office. Many companies now have employees who may never operate within a corporate network, yet security teams are still responsible for protecting these employees, their devices, and the apps and data they access. Gaining visibility into these systems without real control over them is a significant challenge.securitymagazine.com, 3d ago
Introducing AI Two, the ultimate masterpiece designed to unleash the boundless creativity. AI Two is not just ordinary design tool - it's a game-changing all-in-one platform that harnesses the power of artificial intelligence to redefine how imagine, create, and bring wildest ideas to life. With AI Two, have the power to embark on a journey of limitless possibilities. Whether a tattoo artist looking to push the boundaries of inked art, a fashion designer yearning to weave together fabric and imagination, or an interior designer craving to transform spaces into havens of beauty - this revolutionary tool is here to empower.Through the fusion of cutting-edge AI technology and intuitive design features, AI Two becomes digital companion, always ready to nurture and enhance artistic flair. With AI Two, can now seamlessly transition from conception to creation, allowing yourself to focus solely on what truly matters: creativity.The possibilities within AI Two are as limitless as imagination. Ignite artistic genius by creating stunning tattoos that transcend the boundaries of ordinary ink. With an extensive library of designs and AI-powered suggestions tailored to unique style, AI Two will elevate craft to new heights. Discover inspiration didn't know existed as AI Two analyzes preferences and seamlessly merges them with its own creative prowess.Fashion mavens, get ready to turn heads with visionary designs. AI Two empowers to create captivating fashion collections that will leave the industry in awe. With its powerful algorithm and predictive capabilities, this design tool becomes very own fashion muse. From fabric selections to pattern harmonies, AI Two offers suggestions that are as innovative as they are trendsetting, giving the confidence to set new fashion standards.Calling all interior designers! With its precise measurements, diligent AI assistance, and realistic 3D renderings, this platform will help visualize dream designs with unparalleled accuracy. With AI Two, be able to confidently present clients with visually stunning designs that exceed their expectations.When it comes to limitless creativity, AI Two knows no boundaries. With its unbeatable combination of artificial intelligence and user-friendly features, this design tool will revolutionize the way create and inspire. Get ready to unlock the full potential of imagination with AI Two professional companion on the journey to artistic excellence. Experience the future of design. Unleash creativity with AI Two.saasworthy.com, 3d ago

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Bill Stratton, global industry GTM lead, media, entertainment, and advertising at Snowflake, an end-to-end data warehouse solution provider, emphasized that in the realm of advertising, we are witnessing a groundbreaking advancement in the form of hyper-personalization made possible by AI. "Currently, targeting data for campaigns, where thousands of fine-tuned segments can be derived from consumer behavior, has far outnumbered the creative versions of a campaign which limits ad effectiveness. This constant versioning via AI is set to unlock a new level of performance and consumer experience. For example — AI can help reach consumers in a buying cycle by targeting and messaging to the individual every step of the way.”...CMSWire.com, 3d ago
As AI continues to advance, it is critical to ensure that its development and deployment align with ethical principles. By promoting ethical AI practices, organizations can mitigate potential risks and biases, build trust with users, and ensure that AI is used for the betterment of society. Upskilling AI talent is not just a necessity but a moral imperative to shape a future where AI is used ethically and responsibly. While the future of AI may fuel and be fueled by technological advancements, it is driving the need to cultivate exceptional minds. By investing in talent development, fostering collaboration, and prioritizing ethical considerations, AI is inspiring a catalyst for progress, exceptional talent, and a brighter future.RTInsights, 3d ago
Jennifer Chase, SAS Chief Marketing Officer, said: “As marketers we must consciously practice responsible marketing. Facets of this are awareness of the fallibility of AI and alertness to possible bias creeping in. While AI offers the promise of enhanced marketing and advertising programs, we know that biased data and models beget biased results. In SAS Marketing, we are implementing model cards that are like an ingredient list, but for AI. Whether you create or apply AI, you are responsible for its impact. That’s why all marketers, regardless of technical know-how, can review the model cards, validate that their algorithms are effective and fair, and adjust as needed.”...Datanami, 3d ago

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The workplace has drastically changed in recent years. The hybrid work environment has introduced new obstacles for managers: learning how to manage teams amidst asynchronous communication and less face-to-face collaboration. It’s often up to managers to learn how to coach, develop and lead high-performing teams. In hybrid environments, this pressure and complexity multiplies. They find it more difficult to connect with individual employees, provide meaningful and effective feedback, and have the difficult conversations that are sometimes necessary to reach team objectives. This not only frustrates managers, but also the employees that work with them. In one survey, 82% of U.S.-based employees reported that having a bad manager might lead them to quit their job. With hybrid and remote environments here to stay, it’s important to ensure managers can leverage modern technology tools that allow them to hone their management style and skills. For example, an AI-powered conversations tool can give managers the chance to test their approach to difficult conversations (e.g., poor performance) with a direct report and receive feedback in real-time to improve — so they are better prepared to navigate the nuances of remote work before they happen. In face of the reality of work today, AI-backed workplace technology has the potential to transform retention efforts, solve the soft skills gaps and increase managers’ potential. No matter the industry, business leaders adopting AI-infused work and learning tools will be one step ahead of the rest.Training Industry, 17d ago
For many years, Philips has been pioneering the development of data-driven algorithms to fuel its innovative solutions across the healthcare continuum. In the diagnostic imaging domain, Philips developed a multitude of ML applications for medical image reconstruction and interpretation, workflow management, and treatment optimization. Also in patient monitoring, image guided therapy, ultrasound and personal health teams have been creating ML algorithms and applications. However, innovation was hampered due to using fragmented AI development environments across teams. These environments ranged from individual laptops and desktops to diverse on-premises computational clusters and cloud-based infrastructure. This heterogeneity initially enabled different teams to move fast in their early AI development efforts, but is now holding back opportunities to scale and improve efficiency of our AI development processes.CoinGenius, 18d ago
The AI in Cybersecurity Market, as of my last update in January 2022, is a critical and rapidly evolving segment within the technology and cybersecurity industries. This market encompasses the use of artificial intelligence (AI) and machine learning to enhance cybersecurity measures, detect and mitigate threats, and improve overall digital defense. AI in cybersecurity applications includes threat detection, automated incident response, fraud prevention, and security analytics, among others. Market growth is driven by the increasing complexity and volume of cyber threats, the need for rapid threat detection and response, and the shortage of skilled cybersecurity professionals. Challenges include adapting to new attack vectors, ensuring data privacy, and addressing the ethical implications of AI in security. With a global reach, the AI in Cybersecurity Market serves a wide range of industries, from financial services to healthcare, aiming to protect sensitive data and critical infrastructure. Ongoing developments in the market focus on improving AI algorithms for threat detection, enhancing user and entity behavior analytics, and increasing the automation of security incident responses. Staying informed about the latest trends and developments can be achieved by consulting recent industry reports and cybersecurity news sources.openPR.com, 24d ago
The team is also being tasked with developing and offering shared AI infrastructure for testing and development purposes. “This will foster efficiency and collaboration among government agencies and allow us to evaluate the efficacy of AI solutions being deployed right across government,” i.AI said.ComputerWeekly.com, 13d ago
I think the first thing it needs to be, transparent about it. Sometimes we've found in a lot of our work around trying to improve practice, whether it's in design and delivery of clinical trials, of AI interventions, whether it's around transparency of the datasets being used to build AI health technologies and new reference standing together, which to me, looks at its diversity and inclusion in order to help ensure that AI models are equitable and are inclusive. I think what we've found is that transparency, it's our greatest friend as a first step. Opening up those conversations so that then it's not a small group of people trying to set a path on behalf of humility, but rather that actually all of us as public and patients, other stakeholders are having an open and public conversation about how we balance it [inaudible]. I think that's the first step.The Health Foundation, 7d ago
Free trade agreements (FTAs), and more recently, digital economy agreements (DEAs) already include commitments that increase access to AI and bolster its governance. These include commitments to cross-border data flows, avoiding data localization requirements, and not requiring access to source code as a condition of market access, all subject to exception provisions that give government the policy space to also pursue other legitimate regulatory goals such as consumer protection and guarding privacy. Some FTAs and DEAs such as the New Zealand-U.K. FTA and the Digital Economy Partnership Agreement include AI-specific commitments focused on developing cooperation and alignment, including in areas such as AI standards and mutual recognition agreements.Brookings, 16d ago

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The proposed rules would require companies to inform people ahead of time how they use automated decision-making tools and let consumers opt in or out of having their private data used for such tools.Automated technology — with or without the explicit use of AI — is already used in situations such as deciding whether somebody is extended a line of credit or approved for an apartment. Some early examples of the technology have been shown to unfairly factor race or socioeconomic status into decision making — a problem sometimes known as "algorithmic bias" that regulators have so far struggled to rein in.The actual rulemaking process could take until the end of next year, said Dominique Shelton Leipzig, an attorney and privacy law expert at the law firm Mayer Brown. She noted that in previous rounds of rulemaking by the state's privacy body, little has changed from inception to implementation.The proposed rules do pose one significant departure from existing state privacy rules, she said: Requiring companies to provide notice to consumers about when and why they are using automated decision-making tools is "pushing in the direction of companies being transparent and thoughtful about why they are using AI, and what the benefits are ... of taking that approach."The rules are not the state's first run at creating privacy protections for automated decision-making tools.One bill that did not make it through the state Legislature this year, authored by Assembly Member Rebecca Bauer-Kahan, D-Orinda, sought to guard against algorithmic bias in automated systems. It was ultimately held up in committee but could be reintroduced in 2024.State Sen. Scott Wiener, D-San Francisco, has also introduced a bill that will be fleshed out next year to regulate the use of AI more broadly. That effort envisions testing AI models for safety and putting more responsibility on developers to ensure their technology isn't used for malicious purposes.California Insurance Commissioner Ricardo Lara also issued guidelines last year on how artificial intelligence can and can't be used to determine eligibility for insurance policies or the terms of coverage.In an emailed statement, his office said it "recognizes algorithms and artificial intelligence are susceptible to the same biases and discrimination we have historically seen in insurance.""The Commissioner continues to monitor insurance companies' use of artificial intelligence and 'Big Data' to ensure it is not being used in a way that violates California laws by unfairly discriminating against any group of consumers," his office said.Other Bay Area lawmakers came out in support of the privacy regulations moving forward."This is an important step toward protecting data privacy and the unwanted use of AI," said State Sen. Bill Dodd, D-Napa. "Maintaining human choice is critical as this technology evolves with the prospect for so much good but also the potential for abuse."The first hearing on the proposed rules is on Dec. 8.© 2023 the San Francisco Chronicle. Distributed by Tribune Content Agency, LLC.GovTech, 3d ago
...“Artificial intelligence machines capable of generating text-based works pose a serious threat to the writing profession. Generative technologies built using vast amounts of copyrighted works without the permission of or compensation to authors and creators can cheaply and easily produce works that compete with—and displace—human-authored books, journalism, and other works. The market dilution caused by AI-generated works will ultimately result in a shrinking of the profession as fewer human authors will be able to sustain a living practicing their craft, and shut out important, diverse voices. Beyond the economic impact on writers, the unregulated development and use of generative AI technologies will lower the quality of books, journalism, and public discourse fundamental to democratic culture.Good e-Reader, 3d ago
About Author: Manas works as the Director of AI and Automation for a large technology company. His main goal is to use automation and product-led AI to improve business processes. He is an enthusiastic technologist who supports the development of artificial intelligence (AI) products for the future and addresses long-standing commercial issues. His catchphrase is “Lets create a productive organisation where technology and people can coexist to generate the greatest value.”, and the views expressed in this article are his own...CXOToday.com, 3d ago
The security risks of gen-AI are widely reported. For example, the LLMs (large language models) that underpin them are built from vast volumes of data and they can be distorted by the nature of that data. The sheer volume of information ingested carries privacy and data protection concerns. At the moment, regulatory controls and policy guardrails are trailing in the wake of the gen-AI’s development and applications.CXOToday.com, 4d ago
AI News caught up with Victor Jakubiuk, Head of AI at Ampere Computing, a semiconductor company offering Cloud Native Processors. We discussed how they are driving high-performance, scalable and energy-efficient solutions built for the sustainable cloud.In today’s business landscape, artificial intelligence (AI) has been an undeniable game-changer, driving innovation and competitiveness across all industries. Yet, a critical hurdle has recently emerged as companies rapidly shift to cloud-native processes: a severe shortage of servers and rising operational costs. With soaring demand for computational power risking the seamless integration of AI-driven initiatives, businesses now face the urgent task of finding innovative, affordable and far more sustainable solutions to tackle this shortage – a shortage only set to continue.The impact on the environment is also a concern. A new study reveals that by 2027, the AI industry could consume as much energy as a country like Argentina, Netherlands, or Sweden. With energy-intensive graphics processing units (GPUs) a popular choice for AI workloads, this computing power has seen energy consumption and carbon footprints hit unprecedented highs.As businesses scale their digital footprints, the imperative for sustainability becomes increasingly important. The environmental impact of energy-intensive hardware poses a moral and practical challenge, demanding solutions that reconcile performance with responsible resource usage.“Efficiency is key in the future of computing,” explains Jakubiuk. “While the universe of compute and data is expanding exponentially, the focus on energy efficiency in individual workloads is notably increasing.”“Historically, GPUs were the go-to for AI model training due to their compute power. However, they are power-hungry and inefficient for production,” he says. “Deploying GPUs for inference transfers these inefficiencies, compounding power, cost, and operational complexities.”This is all the more notable as processes scale, he warns. While AI training requires large amounts of compute up front, AI inferencing can require up to 10x more total compute over time, creating an even larger problem as the scale as AI usage increases.Ampere Computing has set out to deliver solutions that meet these needs. “We focus solely on efficient AI inference on less energy-hungry central processing units (CPUs), delivering unparalleled efficiency and cost-effectiveness in the cloud,” Jakubiuk says. “Our software and hardware solutions offer a seamless transition without necessitating an overhaul of existing frameworks, setting us apart from closed-source alternatives.”...AI News, 4d ago
One of the biggest beneficiaries of efficiency and productivity from generative AI will be overworked security teams. These teams are stretched because of a cybersecurity-skills gap that has created a shortage of 3.5 million people. AI can automate processes and improve the efficacy of tools that allow security teams to better secure today’s complex networks and applications, while more quickly detecting, analyzing, and responding to threats in an increasingly AI-driven threat landscape.Fast Company, 4d ago

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Combine AI’s speed with human expertise. With AI’s speed and efficiency, we can really begin to move the needle on accessibility. At a minimum, AI can be used as a highly effective first line of defense for detection and for recommending fixes. Human oversight and training should always be paired with AI to keep the technology on track from a quality perspective.The Financial Brand, 10d ago
In short, automated prediction depends on the economic complements of data and judgment. These complements, in turn, depend on permissive institutional conditions. Institutions are the human-built “rules of the game” that constrain and enable human beings to solve collective action problems.47 “Sociotechnical” institutions include the “tools of the game.” Data depend not only on data collection, processing, and communication infrastructure, but also on shared standards and technical protocols as well as access, quality control, and maintenance agreements. Judgment depends on organizational institutions to solicit opinions, develop ideas, adjudicate disputes, and socialize values. Therefore, AI performance depends on sociotechnical institutions. And the platform innovations of the future that unlock the productive potential of AI will fundamentally depend on complementary innovations in shared sociotechnical institutions.Texas National Security Review, 26d ago
In this workshop, learn best practices for cost and sustainability optimization. Shift costs and sustainability responsibilities from the Cloud Center of Excellence (CCoE) to end users and application owners aided by automation and monitoring at scale. Explore how to use AWS services designed to optimize your infrastructure and your workloads with the aid of AI/ML algorithms to detect anomalies. Building upon real-world use cases, learn about cost efficiency implementing mechanisms that empower application owners to have clear, actionable tasks for cost and sustainability optimization. You must bring your laptop to participate. Speakers: Enrico Bonaccorsi and Francesc Sala.Sustainable Tech Partner, 13d ago

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AI will enhance responsible marketing“As marketers we must consciously practice responsible marketing. Facets of this are awareness of the fallibility of AI and alertness to possible bias creeping in. While AI offers the promise of enhanced marketing and advertising programs, we know that biased data and models beget biased results. In SAS Marketing, we are implementing model cards that are like an ingredient list, but for AI. Whether you create or apply AI, you are responsible for its impact. That’s why all marketers, regardless of technical know-how, can review the model cards, validate that their algorithms are effective and fair, and adjust as needed.”– Jennifer Chase, Chief Marketing Officer, SAS...MarTech Series, 4d ago
Efficiency concerns have spurred the development and adoption of lightweight algorithms and coding practices tailored for edge environments. Training AI models in an edge setting involve a careful balance, with considerations for realistic training scenarios and the adoption of commercially available tools for streamlined development and testing.ELE Times, 4d ago
In conclusion, blockchain bots represent a transformative force at the intersection of AI and blockchain technology. From revolutionizing cryptocurrency trading to automating complex decentralized finance processes, these intelligent agents are reshaping industries and redefining the possibilities of decentralized systems. As the development and adoption of blockchain bots continue, the decentralized future they contribute to holds the promise of increased efficiency, transparency, and accessibility across a wide range of applications. The journey into the realm of blockchain bots is only just beginning, and the innovations they bring are sure to shape the future landscape of automation and decentralized technology.Blockchain Magazine, 4d ago
...“Generative AI is a key investment area and innovation focus for us for over 3 years. However, before incorporating emerging tech, especially in AI, it’s crucial to evaluate if there’s a clear path to generate value for specific business problems,” Pavan Kumar, senior manager at Tredence Studio, told AIM in an exclusive interaction.Kumar further elaborated on the importance of due diligence when it comes to generative AI. “Many AI models are trained on generic datasets, so adapting them to address specific issues requires incorporating business and process context to these models. Stability is another consideration; generative AI, in particular, needs to provide repeatable responses over time,” he said.Analytics India Magazine, 4d ago
While rules and regulations around the use of AI are still a work in progress, the potential of AI to speed up medical research for better patient outcomes is already evident. Recently a USFDA guidance highlighted the benefits of AI in clinical research and the use of technologies to improve diversity and inclusion in clinical research that impact the generalizability of study results. The time has come for us to take a deeper dive to understand how AI can make clinical trials (CTs) more efficient and how AI’s transformative power can increase the diversity and inclusion of underserved populations as study participants.Fast Company, 4d ago
Newswise — A new AI-assisted molecular diagnostic platform capable of identifying variants of COVID-19 and other infectious diseases has been developed by scientists in the UK. The low cost, portable device could play a crucial role in preventing future pandemics due to its accuracy and versatility.Scientists from the University of Surrey, Brunel University London, and Lancaster University in collaboration with the NHS, GB Electronics (UK) Ltd and Vidiia Ltd, have created the platform known as VIDIIA Hunter (VH6). It uses reverse transcription loop-mediated isothermal amplification (RT-LAMP) technology in combination with an artificial intelligence (AI)-based deep learning model. The AI model has been trained to read the results of tests identifying infectious diseases, including COVID-19 and removes users’ interpretation and errors whilst improving accuracy.Professor Roberto La Ragione, Professor of Veterinary Microbiology and Pathology at the University of Surrey, said:“Lateral flow tests are an efficient way of testing if you have COVID-19, however, there has always been a question mark over their accuracy which has only been heightened with the emerging number of variants now in circulation. As COVID-19 continues to evolve, we need to evolve with it and have highly accurate tests that can be readily used without the need for laboratory facilities.”To confirm the accuracy of VH6 scientists tested 150 COVI-19 positive clinical nasal swabs with a range of viral loads and 250 negative samples provided by NHS Berkshire, Surrey Pathology and Royal Lancaster Infirmary, Lancaster. The test was found to be highly accurate with a detection rate of 98 percent and a specificity of 100 percent. Additional testing found the device detected all the COVID-19 variants that have circulated in the UK since December 2020.Dr Aurore Poirier, first and co-corresponding author of the study and Research Fellow B at the University of Surrey, said:"The VH6 diagnostics platform has been approved for COVID-19 testing in the UK, but also has to potential to diagnose current and emerging infectious disease and antimicrobial resistance. Its portability, rapidity, accuracy, and affordability allow for near patient testing, in all laboratory and healthcare settings, including low-resources ones. The VIDIIA Hunter therefore has the potential to help control future outbreaks."To monitor and track the spread of COVID-19 and other infectious diseases, the test is connected to a smartphone app that allows an operator to manage and track the patients and samples. Results and graphs are displayed on the app in as little time as 20-30 minutes and automatically connects to a cloud. The platform allows near-patient testing and has the potential to detect other infectious diseases such as tuberculosis and dengue fever, and antimicrobial resistance.Unusually, the test can be used for human and animal healthcare which is a crucial step in identifying any future zoonotic diseases which could spread between the two.Professor Muhammad Munir, Professor of Virology and Viral Zoonosis at Lancaster University said,“Incorporation of LAMP technology with advanced modules of AI has empowered the earliest, reliable and economical detection of infections, including COVID-19, and holds potential for the detection of diseases in both humans and animals, making it a tool of significant medical importance.”The VH6 has now been approved for medical use in the United Kingdom under the UK Health Security Agency’s Medical Devices (Coronavirus Test Device Approvals, CTDA) Regulations 2022 and is CE-IVD marked and MHRA registered.A study using this diagnostic platform has been published in Frontiers in Molecular Biosciences.newswise.com, 4d ago

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...“In last month’s Executive Order, the President called on DHS to promote the adoption of AI safety standards globally and help ensure the safe, secure, and responsible use and development of AI,” he said. “CISA’s roadmap lays out the steps that the agency will take as part of our Department’s broader efforts to both leverage AI and mitigate its risks to our critical infrastructure and cyber defenses.”...meritalk.com, 20d ago
This initiative is part of a larger movement where AI and blockchain technologies are merging to fortify software security. This includes the development of AI and blockchain-based decentralized software testing systems, which combine deep learning’s efficiency with blockchain’s transparency and reliability. Such systems are not only faster in detecting vulnerabilities but also fit well in remote work scenarios. They utilize the InterPlanetary File System (IPFS) for effective data storage, presenting a holistic solution for secure code development and testing in decentralized frameworks.CoinGenius, 4d ago
In conclusion, AI and ML are not the same. They are related concepts, but they have different applications, methods, and goals. While AI aims to simulate human intelligence processes, ML focuses on enabling machines to learn and improve from data without explicit programming. Both have their own strengths and limitations and are continuously evolving as technology advances. Understanding their differences is crucial in order to fully grasp their potential and impact on our daily lives. As we continue to rely more on technology, it is important to have a clear understanding of these terms and how they work together in shaping the future. So, let’s keep learning and exploring the possibilities of AI and ML.The European Business Review, 21d ago
Authors of “Harnessing AI for Equity in Mortgage Finance” solicited views from nearly 50 individuals involved in federal government, financial technology, mortgage lending, consumer advocacy, and research organizations. In their report, they describe AI’s penetration both across the mortgage application process and around the mortgage industry ecosystem. The adoption of AI was found to vary within the mortgage finance industry, with larger mortgage lenders, fintech firms, and government-sponsored enterprises already implementing AI in functions such as underwriting, property valuations, fraud detection, and marketing. In contrast, adoption is lower among smaller and mission-oriented lenders, such as minority depository institutions (MDIs) and community development financial institutions (CDFIs).GlobalFinTechSeries, 27d ago
The role of Artificial Intelligence (AI) in addressing these challenges is increasingly pertinent, especially in the lead-up to the COP28 summit. AI can assist in optimizing the use of resources, forecasting and responding to the impacts of climate change, and in the development and implementation of renewable energy solutions. However, harnessing the potential of AI requires significant investments in infrastructure, training, and technology. To strike an effective balance between ESG compliance, economic growth, and adaptation to climate change, developing countries need international cooperation, strategic investments, and the utilization of technological innovations, including AI. This approach is crucial for these nations as they navigate the path towards a sustainable future, a central theme that will undoubtedly be a focus of discussions at the COP28 World Climate Summit in Dubai later this year.Modern Diplomacy, 7d ago
Federal civilian agencies and the services continue to seek ways to boost efficiency and improve operations while enhancing the security of their operational networks and IT infrastructure. At the same time, the drive for automation presents the opportunity to empower AI and ML tools to better secure both OT and IT, freeing up personnel for higher-level work.meritalk.com, 20d ago

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Societal implications: What theoretical perspectives can illuminate predictive and generative AI adoption’s ethical and social implications, such as equality, intellectual property, privacy, and security concerns? How do organizations navigate the ethical dilemmas related to AI technologies? How does AI support or hinder the ability of corporations, international organizations, and social movements to address grand challenges and other social problems? What are the positive and negative implications of AI adoption on the planet, such as, for example, its impacts on water consumption, carbon emissions, and deforestation?...AOM_CMS, 4d ago
AI-infused analytics add a futuristic dimension to decisions, allowing them to align current endeavors with emerging patterns, as opposed to solely relying on historical data. Even the lead management process by MoPs is being taken over by AI and will soon be redefined through predicting which leads to prioritize, and allocate efforts, and resources. Analyzing past data and establishing patterns through which AI knows and detects the probability that a lead will turn into a customer. This simplifies lead management processes for the benefit of marketing and sales as they only target leads most likely to convert.MarTech Series, 4d ago
Rising integration of technology and growing digitalisation is expected to boost the application delivery controller market demand. The drive towards digitalisation, spearheaded by sectors ranging from e-commerce to healthcare, has made ADCs essential. The number of users accessing applications, combined with the heterogeneity of access devices and the volatility of user behaviour, fuels the need for ADCs to ensure consistent application performance.Get a Free Sample Report with Table of Contents: https://www.expertmarketresearch.com/reports/application-delivery-controller-market/requestsampleOne of the pivotal application delivery controller market trends is the gradual shift to cloud-native architectures and containerised applications. Contemporary businesses are increasingly endorsing microservices and container orchestration tools like Kubernetes, increasing the need for ADCs that are compatible with these dynamic environments. Therefore, the development and adoption of cloud-native ADC solutions are witnessing substantial rise, paving the way for a new generation of application delivery mechanisms.Additionally, the increasing acceptance of multi-cloud and hybrid cloud strategies by enterprises is another driver fuelling the application delivery controller market growth. As organisations use the services from multiple cloud providers, the role of ADCs in maintaining application performance, managing traffic across diverse cloud environments, and ensuring security becomes pivotal. This trend reaffirms the role of ADCs as the pillar in multifaceted application infrastructures.The application delivery controller market size is likely to benefit from the sector's inclination towards ADCs powered by machine learning and artificial intelligence. The integration of these technologies allows ADCs to predict application traffic patterns, automatically adjust resources, and detect anomalies in real-time, significantly enhancing their efficacy. These AI-powered ADCs not only ensure optimal resource allocation but also pave the way for predictive analytics in application performance management.Read Full Report with Table of Contents: https://www.expertmarketresearch.com/reports/application-delivery-controller-marketMarket SegmentationThe market can be divided based on type, enterprise, service, application, and region.Market Breakup by Type• Hardware...openPR.com, 4d ago

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H&M: In collaboration with the Institute of Digital Fashion, the Swedish store brand H&M unveiled an exclusive “The Metaverse Design Story” collection at its first digital show in Metaverse. Users could browse the collection and engage with one another within the show. The collection includes tangible clothing pieces and digital creations in the form of 3D filters. It does not yet have a digital store in the metaverse, but it has ambitious intentions to increase its presence there in the coming years. In conclusionMetaverse consulting services has revolutionized web technologies by making virtual worlds accessible to the general public. A wide range of users can now tap into the potential of immersive digital worlds, which has also altered the future of advertising. Companies have come to understand that they may increase their revenue streams by exploring the realm of virtual reality marketing and offering their consumers a distinctive online experience via immersive settings and digital world-building. Introducing AI into the metaverse has strengthened its infrastructure from the ground up and improved its overall technological capabilities for both platforms and their users. With the assistance of artificial intelligence (AI), brands can enhance their virtual marketing capabilities and offer their customers a smooth brand experience, all while reaping several benefits like enhanced safety, personalization, and digital efficiency. The potential of artificial intelligence and the metaverse to revolutionize digital technology and its usefulness for both individuals and large-scale platforms is great.CoinGenius, 4d ago
In the last few years Large Language Models (LLMs) have risen to prominence as outstanding tools capable of understanding, generating and manipulating text with unprecedented proficiency. Their potential applications span from conversational agents to content generation and information retrieval, holding the promise of revolutionizing all industries. However, harnessing this potential while ensuring the responsible and effective use of these models hinges on the critical process of LLM evaluation. An evaluation is a task used to measure the quality and responsibility of output of an LLM or generative AI service. Evaluating LLMs is not only motivated by the desire to understand a model performance but also by the need to implement responsible AI and by the need to mitigate the risk of providing misinformation or biased content and to minimize the generation of harmful, unsafe, malicious and unethical content. Furthermore, evaluating LLMs can also help mitigating security risks, particularly in the context of prompt data tampering. For LLM-based applications, it is crucial to identify vulnerabilities and implement safeguards that protect against potential breaches and unauthorized manipulations of data.CoinGenius, 4d ago
Ian Lane, Partner, Cambridge Innovation Capital, said: "We are delighted to be part of Secondmind’s mission to transform the design of sustainable vehicles through the power of AI and machine learning. We congratulate Gary and his team on the expansion of their groundbreaking partnership with Mazda, which places Cambridge at the heart of global efforts to accelerate the automotive industry’s transition towards a carbon-neutral future. Secondmind’s AI and cloud-native optimization solutions arm engineers with the tools and confidence to reimagine the development and driving experience of electric vehicles, enabling continuous enhancements in energy efficiency and performance throughout the vehicle’s lifespan.”...cambridgenetwork.co.uk, 4d ago
FTC Publishes Blog on Consumer AI ConcernsThe Federal Trade Commission (“FTC”) published a blog describing the various consumer concerns related to artificial intelligence (“AI”). The FTC organizes these concerns into three categories: (1) concerns about how AI is built – i.e., copyright and intellectual property infringement and the use of biometric and personal data to train AI models or generate voice prints; (2) concerns about how AI works and interacts with users – i.e., the harms from biases and inaccuracies in AI, and the limited pathways to appeal decisions for products using AI; and (3) concerns about how AI is applied in the real world – i.e., scams and fraud powered by AI and malicious use of AI. The FTC notes that it will watch the marketplace as more AI products emerge and are “invested in understanding and preventing harms as this new technology reaches consumers and applying the law.”...natlawreview.com, 4d ago
Chris Probert, Partner, and Head of Capco’s UK Data Practice, said: “Delivering focused, actionable, and effective data strategies is at the heart of what we do. We also ensure that our clients can deliver the best possible outcomes for their customers. 2023 has been a revolutionary year for data and has seen our clients recognise the game-changing nature of generative AI, while also grappling with the associated ethical considerations and implementation challenges. Ensuring effective data governance is key, with AI-related risks identified and mitigated via a control framework.”...capco.com, 4d ago
This is a powerful machine that uses artificial intelligence and advanced analytical software to excel at answering questions. This tool provides a variety of services, which include Watson Studio, Watson Knowledge Catalog, Watson Assistant, Watson Discovery, Watson IoT Platform, Watson Language Translator, and lots more. Due to its design, IBM Watson offers complete control over your crucial assets like data, models, learning, and API, forming the foundation of your competitive edge. It also features a robust learning power that allows it to learn more from less data. However, just like other AI tools, there are limitations to the deployment of IBM Watson as it is only available in English, restricting its applications. It doesn’t process structured data directly, and as data volume increases, there are limited resources available. Moreso, maintenance poses a significant question for IBM Watson technology.Coinspeaker, 4d ago

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The Executive Order on the development and use of artificial intelligence (AI) issued by President Biden on October 30 is a directive that contains no fewer than 13 sections. But two words in the opening line strike at the challenge presented by AI: “promise” and “peril.”As the document’s statement of purpose puts it, AI can help to make the world “more prosperous, productive, innovative, and secure” at the same that it increases the risk of “fraud, discrimination, bias, and disinformation,” and other threats.Among the challenges cited in the Executive Order is the need to ensure that the benefits of AI, such as spurring biomedical research and clinical innovations, are dispersed equitably to traditionally underserved communities. For that reason, a section on “Promoting Innovation” calls for accelerating grants and highlighting existing programs of the Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) program from the National Institutes of Health (NIH). And the Colorado School of Public Health is deeply involved in the initiative.ColoradoSPH helps ensure that artificial intelligence serves and empowers all peopleAIM-AHEAD is a national consortium of industry, academic and community organizations with a “core mission” to ensure that the power of AI is harnessed in the service of minorities and other groups historically neglected or poorly served by the healthcare system. A key focus – though not the only one – is using AI to probe electronic health records (EHRs), which can be rich sources of clinical and other data.“The goal of [AIM-AHEAD] is to use this technology to try to eliminate or better understand and address health disparities,” said Evelinn Borrayo, PhD, associate director of research at the Latino Research and Policy Center (LRPC) of ColoradoSPH and Director for Community Outreach and Engagement at the CU Cancer Center. “This consortium is about the inclusion of communities that historically tend to be left behind.” Borrayo and Spero Manson, PhD, director of the Centers for American Indian and Alaska Native Health (CAIANH) at ColoradoSPH, co-direct the North and Midwest Hub of the AIM-AHEAD initiative, a sprawling 15-state area. Both are also members of the AIM-AHEAD Leadership Core.The hub, which is housed within CAIANH and ColoradoSPH, serves a variety of “stakeholders” who can help to develop AI, including Hispanic/Latino community health organizations, tribal epidemiology centers, urban Indian health centers, and more.Addressing the shortfalls of AI and machine learning developmentManson acknowledged that the last decade has brought “an explosion of interest as well as investment” in exploring the promise of AI and machine learning (ML) – which uses algorithms to train computers to perform tasks otherwise assigned to humans – and applying that knowledge to improving healthcare.“There have been substantial areas of achievement in that regard,” Manson said. But he said the work has also revealed “substantial bias” in the algorithms and predictive models as they are applied to “underrepresented and marginalized populations.”He noted, for example, that the data in EHRs may be incomplete because of barriers to care that people face, including socioeconomic status, race and ethnicity, and geography. In that situation, AI and ML don’t correct for these factors because the technology uses the EHR itself to analyze the data and make predictions, Manson said.That’s why deepening the reservoir of data in EHRs and other repositories is imperative for the development of AI and ML, he said.“The idea is to improve healthcare for all citizens, not just those that have benefited narrowly in the past,” he noted.Improving the diversity of AI workforceIn addition, the workforce of scientists working on AI and ML lacks diversity, while the benefits of research in the field have not yet adequately spread to underserved communities, Manson said.The North and Midwest Hub has undertaken several “outreach and engagement” projects to meet the goals of AIM-AHEAD, with ColoradoSPH playing a significant role.For example, two pilot projects aim to build capacity for applying AI and ML to aid communities. In one, Clinic Chat, LLC, a company led by Sheana Bull, PhD, MPH, director of the mHealth Impact Lab at ColoradoSPH, is collaborating with Tepeyac Community Health Center, which provides affordable integrated clinical services in northeast Denver. The initiative, now underway, uses Chatbots to assist American Indian/Alaska Native and Hispanic/Latino people in diagnosing and managing diabetes and cancer.A second project is working toward incorporating AI and ML coursework into the curriculum for students earning ColoradoSPH’s Certificate in Latino Health.“It’s an opportunity to introduce students to how using AI and ML can help us understand and benefit the [Latino] population,” Borrayo said. The idea is to build a workforce with the skills to understand the unique healthcare needs of Latinos and apply AI and ML skills to meet them, she added.“One of the approaches we are also taking is reaching students in the data sciences,” Borrayo said. “We can give those students the background and knowledge about Latino health disparities so they can use those [AI and ML] skills as well.”Building a generation that uses AI to improve healthcareManson also noted that the North and Midwest Hub supports Leadership and Research fellowship programs, which are another component of what he calls “an incremental capacity-building approach” to addressing the goals of AIM-AHEAD.“We’re seeking to build successive generations, from the undergraduate through the doctoral/graduate to the early investigator pipeline, so these individuals move forward to assume positions of leadership in the promotion of AI and ML,” Manson said.Borrayo said that she is most interested in continuing to work toward applying solutions for these and other issues in communities around the region. She pointed to the Clinic Chat project as an example of how AI and ML technology can be used to address practical clinical problems.“I think understanding the data, algorithms and programming is really good for our underrepresented investigators to learn,” she said. “But for our communities, I think the importance lies in the application.How can we benefit communities that are typically left behind or don’t have access to healthcare in the ways most of us do?”For Manson, a key question is how members of American Indian/Alaska Native, Latino, and other communities can “shift” from being “simply consumers and recipients” of work in AI and ML and “become true partners” with clinicians and data specialists in finding ideas that improve healthcare.“The field will be limited in terms of achieving the promise [of AI and ML] until we have that kind of engagement with one another,” Manson said.cuanschutz.edu, 4d ago
In HPC, energy efficiency is a top priority for the industry to meet sustainability commitments and deliver performance to enable the next generation of supercomputers. AMD is setting a new pace of innovation to accelerate energy efficiency through its 30x25 goal, which aims to deliver a 30x energy efficiency improvement in processors and accelerators for AI training and HPC by 2025, from a 2020 baseline, through a holistic approach to chip design and system-level improvements.electronicspecifier.com, 4d ago
BrainChip is the worldwide leader in Edge AI on-chip processing and learning. The company’s first-to-market, fully digital, event-based AI processor, Akida TM, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Akida uniquely enables Edge learning local to the chip, independent of the cloud, dramatically reducing latency while improving privacy and data security. Akida Neural processor IP, which can be integrated into SoCs on any process technology, has shown substantial benefits on today’s workloads and networks, and offers a platform for developers to create, tune and run their models using standard AI workflows like Tensorflow/Keras. In enabling effective Edge compute to be universally deployable across real world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI, close to the sensor, is the future, for its customers’ products, as well as the planet. Explore the benefits of Essential AI at www.brainchip.com.BrainChip, 4d ago
Speaking at the event, Jamie Allan, Head of Media Industries, NVIDIA said he has seen a democratization effect around AI over the past couple of years. With the power required to run models reducing—yet the size and quality of models increasing monthly—Allan describes AI as being in a true tech labour market now. He believes a hybrid approach to the integration of generative AI and machine learning (ML) is key in the entertainment sector because retraining existing models with proprietary company data is cheaper and easier than building foundation models.Verdict, 5d ago
Subsequently, on November 5, 2023, the Council under the Spanish presidency presented a corresponding draft text, which set out a series of obligations – again controversial in detail. According to this, providers of foundation models should fulfill transparency obligations, for example by providing technical documentation on the performance and limits of their systems and proof of compliance with copyright law. Providers of the most powerful foundation models should also register their AI models in the EU’s public database, for example, carry out an assessment of their systemic risks and have auditing obligations. In particular, a debate broke out over the criteria for determining the “most powerful” AI within the tiered approach. While the Council wanted to require the Commission to define these through secondary legislation within 18 months of the AI Act coming into force, the Parliament called for a regulation in the AI Act itself in order to be able to legislate on such an important decision.Tech Policy Press, 5d ago
...“It is no surprise that many hospitals and integrated care systems are looking to AI and tools like Chat GPT to do things differently in healthtech. The current generation of AI and large language models are versatile and powerful but as yet they have no autonomy especially in a clinical setting where safety is of the utmost importance. However, where these tools do win, is their ability to process vast quantities of data and turn it into something useful. For example, working with our 5000+ clinicians we knew that there was an unnecessary administrative burden, as well as multiple systems and complex processes. Research shows doctors spend up to 16 minutes per patient appointment on admin related tasks.TechRound, 5d ago

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Ian Lane, partner, Cambridge Innovation Capital, said, “We are delighted to be part of Secondmind’s mission to transform the design of sustainable vehicles through the power of AI and machine learning. We congratulate Gary and his team on the expansion of their groundbreaking partnership with Mazda, which places Cambridge at the heart of global efforts to accelerate the automotive industry’s transition toward a carbon-neutral future. Secondmind’s AI and cloud-native optimization solutions arm engineers with the tools and confidence to reimagine the development and driving experience of electric vehicles, enabling continuous enhancements in energy efficiency and performance throughout the vehicle’s lifespan.”...Automotive Testing Technology International, 5d ago
DataOps is at the center of all ML operations and is driving forward generative AI and LLM production. As the de facto standard for DataOps, Airflow is the foundation for all data architectures and is already widely used in the construction of LLMs and by thousands of ML teams. With pluggable compute and thousands of integrations in the data science toolkit, Astro (the fully managed Airflow service from Astronomer) is the ideal environment for building and driving ML initiatives.Datanami, 5d ago
Renewal and thermal energy generation asset management: using data analytics, machine learning, and computer vision to forecast weather and generation conditions, adjust the orientation and operation of panels and turbines, predictive maintenance, grid integration, planning, scaling, and manage the storage and distribution of excess power. Virtual awareness, monitoring and control of operations are an exciting field in the AI context. The asset locations of renewables are often hard to access, and significant EBITDA improvements can be achieved. This supports the AI business case and enables more renewables. Also in complex infrastructure construction, AI can reduce the cost by as much as 30%. Wind power output prediction is another good AI use case. Lower or higher than expected output levels can push up operational costs. Google published a 20% increase of its financial wind power value, using AI in output forecasting and other areas.Energy Central, 5d ago

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AI and ML practices are no longer the luxury of research institutes or technology giants, they are becoming an integral part of any modern business application. According to analysts, most organizations fail to successfully deliver AI-based applications and are stuck in the process of turning data-science models, which were tested on sample or historical data, into interactive applications which work with real-world and large-scale data. A new engineering practice called MLOps has emerged to address the challenges. As the name indicates, it combines AI/ML practices with DevOps practices, and its goal is to create continuous development and delivery (CI/CD) of data and ML intensive applications. For instance, the year 2023 will also experience an expansion of AI and MLOps across various organizations, decreased time to market for AI projects, and for organizations using online feature stores to enable real-time use cases to be implemented.Journal of Cyber Policy, 13d ago
There is an escalation of interest in educating the millions of clinicians as well as leaders in health care on the tenets as well as the promises and limitations of artificial intelligence. This focus on AI has accelerated since the advent of large language models such as ChatGPT. With the availability of AI tools that may not always require programming, the time to learn about AI as a resource is better and perhaps even easier than ever before. For most clinicians, going or returning to school for a formal education in data science and artificial intelligence is not a feasible pathway. The following is an outline of the myriad of stages of healthcare education and training and the possible strategies for education in AI:...AIMed, 21d ago
Over the past decade, the shift from waterfall to agile and then to DevOps has intensified the demand for a revamped test automation model. The move to application coverage and swift testing times has necessitated impeccable outcomes. With the introduction of generative AI in QA in 2018, there have been significant advancements, reshaping QA teams’ operations. The emergence of transformer models like ChatGPT presents both opportunities and accuracy challenges. This webinar will delve into real-world AI outcomes, explore the nuances of GPT and other LLMs, and offer actionable insights and advancements in AI testing. Equip yourself with strategies to enhance quality through AI. Join SD Times Editor-in-chief and Appvance CTO Kevin Surace as they delve into the relationship between Generative AI and quality assurance.SD Times, 12d ago
While this Executive Order aims to confront many of the primary challenges linked to AI development and use, it is of utmost importance to ascertain that these rules are effectively implemented and fulfill their projected aims. Constant monitoring and evaluation of these rules’ effects will be necessary as they come into effect. In addition, maintaining a balance between fostering innovation and ensuring safety, security, and ethical considerations poses a considerable challenge in the rapidly evolving sector of AI. We have already seen this order negatively impact the share price of several publicly traded AI companies and token-based AI projects. At Sarson Funds we are watching and evaluating the impact that this order may have on the growth of AI companies and projects.Dwealth.news, 27d ago
The AI Summit is POC’s yearly gathering of the foremost experts in AI, machine learning and automated technologies from both the government and private industry. 2024 marks the fifth iteration of the event and will be an all-day blow-out of keynote speeches, panel discussions and prime networking opportunities. Especially in the wake of the October Executive Order on the responsible use of AI, this is a particularly important function to attend.GovCon Wire, 25d ago
CHANDLER, Ariz., Nov. 08, 2023 (GLOBE NEWSWIRE) -- The rise of generative AI and AI/ML technologies is fueling demand for more high-speed connections and, in turn, the push toward 800G connectivity in backend data center networks and applications. This can be optimally addressed using Active Electrical Cables (AECs), but there are numerous design and development hurdles for cable vendors to overcome. To address this, Microchip Technology Inc. (...EDACafe, 26d ago

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...“Generative AI has the potential to spur a technological shift that will reshape how people do everything from searching for information and exploring new ideas to writing and building applications,” said Dr Swami Sivasubramanian, Vice President of Data and Artificial Intelligence. “AWS is helping customers harness generative AI with solutions at all three layers of the stack, including purpose-built infrastructure, tools, and applications. Amazon Q builds on AWS’s history of taking complex, expensive technologies and making them accessible to customers of all sizes and technical abilities, with a data-first approach and enterprise-grade security and privacy built-in from the start. By bringing generative AI to where our customers work—whether they are building on AWS, working with internal data and systems, or using a range of data and business applications—Amazon Q is a powerful addition to the application layer of our generative AI stack that opens up new possibilities for every organisation.”...technologymagazine.com, 5d ago
Generative AI has the potential to spur a technological shift that will reshape how people do everything from searching for information and exploring new ideas to writing and building applications,” said Dr. Swami Sivasubramanian, vice president of data and AI. “AWS is helping customers harness generative AI with solutions at all three layers of the stack, including purpose-built infrastructure, tools and applications. Amazon Q builds on AWS’s history of taking complex, expensive technologies and making them accessible to customers of all sizes and technical abilities, with a data-first approach and enterprise-grade security and privacy built-in from the start.computerweekly.com, 5d ago
Artificial Intelligence (AI) is significantly transforming the business landscape by enabling more informed and strategic decision-making through data-driven insights. It enhances operational efficiency by streamlining various processes such as data entry, reducing manual workloads while increasing accuracy and speed. Furthermore, AI is reshaping customer experiences by providing personalized services and predictive analytics. This is leading to improved customer satisfaction and loyalty, which is vital for businesses in today's competitive environment. Additionally, AI's role in innovation is pivotal, fostering new product development and business models, thereby opening up fresh revenue streams and market opportunities. This technology is not just a tool for large corporations but is increasingly accessible to small businesses, enabling them to compete more effectively in the market.I amsterdam, 5d ago
IoT, Internet of Things. Many companies have adopted a hybrid work model resulting in less onsite IT/AV staff to assist with maintenance and technical issues in meeting spaces. Remote management of AV equipment and meeting spaces, with the help of AI and AV technology developments, has grown in large strides recently to make integrators like Avidex able to provide proactive remote maintenance and comprehensive break-fix support. Our remote monitoring and management platform, Avidex Assure, was designed to bridge the IoT virtual gap and provide proactive support for customers, many times before they even know there was a potential problem in their AV space. This approach to AV service looks beyond 2024 to help our customers protect their AV investments and improve their employee experience.systemscontractor, 5d ago
Moving forward, Shevelenko thinks integration and collaboration’s benefits are too obvious to ignore. “As resource constraints and cost pressures continue to present challenges for the industry, the platforms offering front-to-back execution and analytics services are likely to continue to gain traction with clients,” he says. He believes these conditions will create a virtuous circle where platforms and LPs come to rely on each other, pointing to how the execution analytics space will evolve. “Advances in technology are going to continue to drive innovation including data and analytics,” he says. “Platforms are going to further rely on liquidity providers to share aggregate data sets to power analytics. Liquidity providers are likely to leverage platforms for independent and objective evaluation of their liquidity and algorithms.”Ultimately, every trader aims to reduce market impact from their trading. Execution analytics are quickly evolving, and with more AI use cases emerging, traders do not have to fly blind.e-Forex, 5d ago
Technology that helps predict and prevent adverse events before they occur impacts both the patient experience and clinical operations. Artificial intelligence (AI) and machine learning are the core components of predictive analytics, and they are revolutionizing health care across care settings. With short-stay post-acute patients, this technology helps care teams coordinate care and prepare for safe discharge to the community. For both short- and long-term residents, analytics help identify at-risk patients who are susceptible to falls, pressure ulcers, hospitalizations or returns to skilled nursing after being discharged to the community. Analytics specialist PointRight has developed a tool that tracks these indicators in SNFs. It also provides metrics around cognition and discharge complexity, creating a full picture of each resident’s needs. With access to this technology, care teams can identify near term risks and respond accordingly to stay on-track for a successful discharge.Net Health, 5d ago

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The rise of generative AI and AI/ML technologies is fueling demand for more high-speed connections and, in turn, the push toward 800G connectivity in backend data center networks and applications. This can be optimally addressed using Active Electrical Cables (AECs), but there are numerous design and development hurdles for cable vendors to overcome. To address […]...connectortips.com, 25d ago
As AI and ML technologies become integral to our daily lives, the ethical implications of their use come under scrutiny. AI Ethicists are tasked with ensuring that the development and deployment of AI adhere to moral and societal standards. This role involves addressing issues like bias in algorithms, privacy concerns, and the broader societal impact of AI technologies. As organizations prioritize ethical considerations, the demand for AI ethicists is on the rise.Analytics Insight, 18d ago
The order instructs NIST to produce best practices for AI development and use within 270 days, including by expanding its AI Risk Management Framework to include generative AI and establishing guidelines for “red-teaming” tests that can measure the security and trustworthiness of AI. Developers of dual-use foundation models are required to follow these red-teaming guidelines and to share the test results with the government.AIP, 19d ago
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The Next Platform - In-depth coverage of high-end computing at large enterprises, supercomputing centers, hyperscale data centers, and public clouds., 26d ago
24-7 Press Release Newswire, 25d ago
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