new The idea that we live in a permanent AI revolution means that companies’ transformation efforts are most likely to succeed when designed with a dual intent: successful adoption of mature technologies and readiness for accelerated experimentation with inchoate ones. Since companies continue to learn at a slower rate than technology advances, success will largely hinge on a business’s relative rate of learning—which, in turn, depends on their ability to become early adopters of the foreseeable technologies on the horizon. Today, for companies working on the adoption of stand-alone LLMs, this challenge takes the form of shaping those LLM-based transformation plans with an eye towards the arrival of what’s coming next—autonomous agents. — Fortune, 8h ago

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 Breaking down silos is only possible when leaders focus on cross-functional collaboration, particular in response to organisational change. Building a strong, collective approach to people development is a key way to make this a reality – ensuring employees are adequately prepared for any changes that come their way by working together with new colleagues and developing an understanding of each person’s unique skill set. Even amid organisational shifts, such as the adoption of generative AI, setting a firm foundation for effective collaboration will help a business move through any challenging periods with agility. — The European Business Review, 15h ago

new Download Free Sample of Report - https://www.globalinsightservices.com/request-sample/GIS25711/?utm_source=pranalipawar&utm_medium=Openpr&utm_campaign=04122023Security scanning equipment is typically composed of several components including scanners, detectors, and monitors. Scanners are used to detect and identify potential threats, such as malware and viruses. Detectors are used to look for signs of malicious activity, such as unauthorized access to a system or network. Monitors are used to constantly monitor for suspicious activity and alert administrators of any potential threats.Security scanning equipment is essential for any organization that wants to protect its data and systems. It helps organizations detect malicious activity and respond quickly to potential threats. It also helps to reduce the risk of data breaches and other security incidents. Security scanning equipment is an important part of any security strategy and should be implemented in order to ensure the safety and security of an organization's data and systems.Key TrendsSecurity scanning equipment is a broad term that encompasses a wide variety of devices used to detect, identify, and prevent security threats. The technology has been evolving rapidly in recent years, as organizations strive to keep up with the ever-changing security landscape. In this article, we will discuss some of the key trends in security scanning equipment technology.First, the use of biometrics is becoming increasingly popular. Biometric authentication is a process whereby a person's physical characteristics, such as a fingerprint or iris scan, are used to authenticate their identity. This technology is becoming more common in many industries, and is being used to secure areas, as well as to verify transactions.Second, the use of facial recognition technology is also growing. This technology uses facial recognition algorithms to identify individuals and can be used for a variety of security purposes. It is becoming increasingly common in public places, such as airports and stadiums, as well as in corporate environments.Third, the use of artificial intelligence (AI) is becoming more prevalent in security scanning equipment technology. AI can be used to identify and alert security personnel to potential threats before they occur. It can also be used to analyze large amounts of data quickly and accurately, allowing for better decision-making and faster response times.Finally, the use of cloud-based security scanning solutions is becoming more popular. With cloud-based security solutions, organizations can access their security systems from anywhere in the world. This allows for greater flexibility and scalability, as well as faster response times.These are just some of the key trends in security scanning equipment technology. As the security landscape continues to evolve, organizations must continue to stay ahead of the curve by using the latest technology available to them. By doing so, they can ensure that their security systems are up to date and can effectively protect their organization from any potential threats.Key DriversSecurity Scanning Equipment Market is driven by the increasing need for security and surveillance in the public and private sector. The rising number of threats to national security, as well as the need for quick and accurate detection of potential threats has created a strong demand for security scanning equipment. As a result, the market has seen a steady growth over the past few years.The first key driver of the security scanning equipment market is the government's increased focus on security. Governments around the world are investing heavily in security measures, and this includes the procurement of scanning equipment. This is especially true in developed countries, where governments have implemented stringent security measures to protect their citizens. For instance, the United States has adopted a see something, say something approach to security, which requires citizens to report any suspicious activity to law enforcement. As a result, the demand for security scanning equipment has increased significantly.Report Overview- https://www.globalinsightservices.com/reports/security-scanning-equipment-market/?utm_source=pranalipawar&utm_medium=Openpr&utm_campaign=04122023The second key driver of the security scanning equipment market is the rise of terrorist activities. Terrorists have become increasingly sophisticated in their use of technology to carry out their attacks. As a result, governments and private companies are investing heavily in the development of advanced scanning equipment to detect and prevent these attacks. This has led to a strong demand for security scanning equipment, as these devices are able to detect and identify potential threats quickly and accurately.The third key driver of the security scanning equipment market is the development of new technologies. Advances in technology have enabled the development of advanced scanning equipment, which has made it easier to detect and identify potential threats. For instance, the use of 3D imaging technology has enabled the development of devices that can detect objects hidden within walls and other structures. This has made it easier for law enforcement and private companies to detect and identify potential threats quickly and accurately.The fourth key driver of the security scanning equipment market is the increasing demand for safety and security in public spaces. With the recent increase in mass shootings and other public safety incidents, governments and private companies are investing heavily in the development of advanced scanning equipment to detect and prevent these incidents. This has led to a strong demand for security scanning equipment, as these devices are able to detect and identify potential threats quickly and accurately.Get a customized scope to match your need, ask an expert - https://www.globalinsightservices.com/request-customization/GIS25711/?utm_source=pranalipawar&utm_medium=Openpr&utm_campaign=04122023Finally, the fifth key driver of the security scanning equipment market is the increasing use of biometric technologies. Biometric technologies allow for the identification of individuals through their unique physical characteristics. This has made it easier for law enforcement and private companies to identify potential threats quickly and accurately. As a result, the demand for security scanning equipment has increased significantly.Market SegmentationThe Security Scanning Equipment Market is segmented into Detection Technology, Application, End User, and Region. On the basis of Detection Technology, the Security Scanning Equipment Market is segmented into X-ray, CT-based, Neutron Sensing and Detection, and Others Detection Technologies. Based on Application, the market is bifurcated into Mail and Parcel and Baggage Scanning. Based on End User, the market is segmented into Airports, Ports and Borders, and Defense. Region-wise, the market is segmented into North America, Europe, Asia-Pacific, and Rest of the World. Key PlayersSome of the key players of Security Scanning Equipment Market are Smiths Detection Inc. (UK), Leidos Holdings Inc. (US), OSI Systems Inc. (US), 3DX-Ray Ltd (US), Teledyne ICM SA (US), Analogic Corporation (US), Nuctech Company Limited (China), Astrophysics Inc. (US), CEIA SpA (Italy), and Gilardoni SpA (Italy). Buy Now - https://www.globalinsightservices.com/checkout/single_user/GIS25711/?utm_source=pranalipawar&utm_medium=Openpr&utm_campaign=04122023With Global Insight Services, you receive:10-year forecast to help you make strategic decisions... — openPR.com, 15h ago

new The conference kicked off with keynotes and comments from Black Hat and DEF CON founder Jeff Moss and Azeria Labs founder Maria Markstedter, who explored the future of AI risk — which includes a raft of new technical, business, and policy challenges to navigate. The show features key briefings on research that has uncovered emerging new threats stemming from the use of AI systems, including flaws in generative AI that makes them prone to compromise and manipulation, AI-enhanced social engineering attacks, and how easily AI training data can be poisoned to impact the reliability of the ML models that depend on it. The latter, presented today by Will Pearce, AI red team lead for Nvidia, features research for which Anderson was a collaborator. He says the study shows that most training data is scoured from online sources that are easy to manipulate. — darkreading.com, 17h ago

new Change is happening at a rate like never before thanks to the popularisation of AI, along with the ever-increasing pace of organisational change. In fact, according to recent CoachHub research, more than half (56%) of organisations are already using AI within their HR function. As AI’s role continues to develop, and skillsets continue to change, it is vital that leaders prepare early, ensuring that their workforce is equipped with the skills and resources required for the trends of the coming year. — theHRDIRECTOR, 17h ago

new Asked to imagine a dream care robot, our workshop participants envisioned something that could “grow together” with a human individual, paying attention to their specific dignity. While only one perspective, our experiments with language models demonstrated just how far present-day AI remains removed from it. Simply rotating common religious, disability, and gendered terms produced radically different associations and sentimental attachments. A little removed from the research period now, we might admire the technical progress in language model capability and alignment today. However, we would maintain that the goals of AI remain doggedly determined by largely ableist, white, male, and economically-interested fantasies. “Intersectionality” means not only the removal of stigmas and stereotypes from AI outputs but also the proliferation of different cultural perspectives and values into its very design and aims. — Montreal AI Ethics Institute, 1d ago

new Policymakers are increasingly considering risk-based assessments of AI systems, such as the EU AI Act. We believe that in this context, AI systems with the potential for deception should be classified at least as “high-risk.” This classification would naturally lead to a set of regulatory requirements, including risk assessment and mitigation, comprehensive documentation, and record-keeping of harmful incidents. Second, we suggest passing ‘bot-or-not’ laws similar to the one in California. These laws require AI-generated content to be accompanied by a clear notice informing users that the content was generated by an AI. This would give people context about the content they are viewing and mitigate the risk of AI deception. — Montreal AI Ethics Institute, 1d ago

new From the insights provided in the article, it’s important to acknowledge that AI is advancing to a level of sophistication capable of mimicking human creativity. However, it’s crucial to acknowledge the potential substantial differences between these two forms of creativity, originating from the disparate operational mechanisms of the human brain and generative AI. While divergent thinking is often explored as an important factor of creativity, it is not the complete picture of the multifaceted nature of creative behavior. — Montreal AI Ethics Institute, 1d ago

new KAREN HAO: One of the things, just to take a step back before we kind of go through the, the tumultuous history leading up to this point, one of the things that's kind of unique about OpenAI, I mean you see this in a lot of Silicon Valley companies, but OpenAI does this more than anyone else I would say, which is they use incredibly vague terms to define what they're doing. Artificial general intelligence, AGI, this term is not actually defined. There's no shared consensus around what AGI is and of course there's no consensus around what is good for humanity. So if you're going to peg your mission to like really, really vague terminology that doesn't really have much of a definition, what it actually means is it's really vulnerable to ideological interpretation. So I remember early in the days of OpenAI when I was covering it, I mean people would joke like if you ask any employee what we're actually trying to do here and what AGI is, you're gonna get a different answer. And that was, that was sort of almost a feature rather than a bug at the time in that they said, "You know, we're on a scientific journey, we're trying to discover what AGI is." But the issue is that you actually just end up in a situation where when you are working on a technology that is so powerful and so consequential, you are going to have battles over the control of the technology. And when it's so ill-defined what it actually is, those battles become ideological. And so through the history of the company, we've seen multiple instances when there have been ideological clashes that have led to friction and fissures. The reason why most people haven't heard of these other battles is because OpenAI wasn't really in the public eye before, but the very first battle that happened was between the two co-founders, Elon Musk and Sam Altman. Elon Musk was disagreeing with the company direction, was very, very frustrated, tried to take the company over, Sam Altman refused. And so at the time Elon Musk exited, this was in early 2018 and actually took all of the money that he had promised to give OpenAI with him. And that's actually part of the reason why this for-profit entity ends up getting constructed because in the moment that OpenAI realizes that they need exorbitant amounts of money to pursue the type of AI research that they wanna do is also the moment when suddenly one of their biggest backers just takes the money. The second like major kind of fissure that happened was in 2020, and this was after OpenAI had developed GPT-3, which was a predecessor to ChatGPT. And this was when they first started thinking about how do we commercialize, how do we make money? And at the time they weren't thinking about a consumer-facing product, they were thinking about a business product. So they developed the model for delivering through what's called an application programming interface. So other companies could like rapidly build apps on GPT-3. There were heavy disagreements over how to commercialize this model, when to commercialize the model, whether there should be more waiting, more safety research done on this. And that ultimately led to the falling out of one of the very senior scientists at the company, Dario Amodei, with Sam Altman, Greg Brockman, and Ilya Sutskever. So he ended up leaving and taking a large chunk of the team with him to found what is now- one of open AI's biggest competitors, Anthropic. — Big Think, 2d ago

new Rane and Sethi are also working to ensure that AI specifically understands the Indian markers. For instance, Rane says how carbon pigment is mostly present in tumours of the lung in an Indian patient, owing to pollution and smoking, but not so much in tumour samples of a patient from the west. But given that data is at the core of AI, India is at a loss because of our dismal data collection and storage capacity. “Electronic medical records are present in only 15 per cent of large cancer hospitals in India,”says Rane. “Many have no electronic record and do not have the infrastructure to digitise radiology and pathology. So then how do we apply AI in these hospitals [when there is] lack of data? We are still behind the west in terms of adopting electronic records. We need large Graphics Processing Unit clusters but the investment required for that is [not coming]. We also need higher funding in innovation in India.”... — theweek.in, 1d ago

new Introducing Masterpiece X, the world’s first fully generative AI text-to-3D app. Take asset creation to new heights with this advanced toolkit, enabling optimized mesh models, textures and animations like never before. Customers don’t need to be an inspired 3D artist to get started – just use a few simple words and let the technology take over from there. This cutting-edge tool not only gives professionals a new level of flexibility when creating content but also reduces project turnaround times significantly. With Masterpiece X can quickly explore options and ideas in 3D, all while achieving stunning results. Let imagination come alive through the power of technology! With its intuitive interface and powerful AI algorithms, Masterpiece X takes the hassle out of 3D asset creation. Simply input desired concept, and the app does the rest, generating a fully-rendered 3D model that is as realistic as it is awe-inspiring. From intricate architectural designs to lifelike character animations, there is virtually no limit to what can achieve with this revolutionary technology at fingertips.But Masterpiece X is not just about saving time and effort – it's about unlocking the true potential of creative vision. Whether an architect visualizing a new skyscraper, a game developer crafting immersive worlds, or a filmmaker breathing life into characters, this app is ultimate tool for pushing the boundaries of what is possible in the realm of 3D design.Join the ranks of leading professionals who have already embraced the power of Masterpiece X and witnessed its transformative capabilities. With this game-changing app, can truly stand out from the crowd and elevate work to new heights.Invest in artistic journey and let Masterpiece X be trusted companion as embark on a quest for innovation. It's time to take creations to the next level – the level where imagination becomes reality. Get ready to amaze, inspire, and leave a lasting impression with Masterpiece X. — saasworthy.com, 1d ago

new AI and regulated industries: “One of the surprises to me over the past 12 months are the regulated industries. These are industries that potentially don’t have the best reputation for being in the vanguard of technology: insurance, financial services, health care, life sciences, all these sorts of things. But in an ironic twist, all of the regulations that they’ve been working through over the past 20-30 years have been around data privacy, and data governance, and data standards, and structured data quality. They’re all the things you need to have in place to successfully apply your own data to generative AI. … For a very small incremental investment, they can start applying that data with generative AI really, really quickly; really, really easily.”... — GeekWire, 1d ago

new Navigating the realm of AI in security strategies involves nuanced considerations. Cybersecurity necessitates distinctive approaches for preemptive attacks while avoiding excessive restrictions to promote innovation and economic growth. Schmidt acknowledges the complexity of imposing mutual restraints on AI-based weaponry due to unpredictable scope and engagement. He recommends that nuclear powers establish common protocols to ensure nuclear stability, drawing from a realist perspective that places national interest at the forefront. — Montreal AI Ethics Institute, 1d ago

new The findings from this study are crucial for academia and go well beyond that, touching the critical realm of AI Ethics and safety. The study sheds light on the Confidence-Competence Gap, highlighting the risks involved in relying solely on the self-assessed confidence of LLMs, especially in critical applications such as healthcare, the legal system, and emergency response. Trusting these AI systems without scrutiny can lead to severe consequences, as we learned from the study that LLMs make mistakes and still stay confident, which presents us with significant challenges in critical applications. Although the study offers a broader perspective, it suggests that we dive deeper into how AI performs in specific domains with critical applications. By doing so, we can enhance the reliability and fairness of AI when it comes to aiding us in critical decision-making. This study underscores the need for more focused research in these specific domains. This is crucial for advancing AI safety and reducing biases in AI-driven decision-making processes, fostering a more responsible and ethically grounded integration of AI in real-world scenarios. — Montreal AI Ethics Institute, 1d ago

new So when it was discovered that transformer-based systems like ChatGPT could turn casual human-readable descriptions into working code, there was much reason for excitement. It’s exhilarating to think that, with the help of generative AI, anyone who can write can also write programs. Andrej Karpathy, one of the architects of the current wave of AI, declared, “The hottest new programming language is English.” With amazing advances announced seemingly daily, you’d be forgiven for believing that the era of learning to program is behind us. But while recent developments have fundamentally changed how novices and experts might code, the democratization of programming has made learning to code more important than ever because it’s empowered a much broader set of people to harness its benefits. Generative AI makes things easier, but it doesn’t make it easy. — Popular Science, 1d ago

new There’s been a lot of talk about AGI lately—artificial general intelligence—the much-coveted AI development goal that every company in Silicon Valley is currently racing to achieve. AGI refers to a hypothetical point in the future when AI algorithms will be able to do most of the jobs that humans currently do. According to this theory of events, the emergence of AGI will bring about fundamental changes in society—ushering in a “post-work” world, wherein humans can sit around enjoying themselves while robots do most of the heavy lifting. If you believe the headlines, OpenAI’s recent palace intrigue may have been partially inspired by a breakthrough in AGI—the so-called “Q” program—which sources close to the startup claim was responsible for the power struggle. — Gizmodo, 2d ago

new The contract, which is being voted on and needs a majority of “yes” votes to come into force, was considered a victory by many and received with suspicion by others. In the initial vote, 14% of the members of the union's national board voted “no”, and that is what Portuguese actress Kika Magalhães intends to do as well. “The reason is that they don't protect actors in relation to digital replicas”, she told Lusa the actress, based in Los Angeles since 2016. “They say yes, that there is protection, but then we look between the lines and there is nothing.” Kika Magalhães, whose latest film, “The Girl in the Backseat”, has just been released reaching Amazon Prime Video and the streaming platform Tubi, points to how digital replicas can be disastrous. “An actor goes for a casting and the producers ask if he will accept their digital replica. If the actor says no, they may not give him the role,” she explains. Top-notch actors will be able to negotiate and say no without losing the role. “But small actors like us don't bring as much money to the union and they don't protect us as much”, considered Kika Magalhães. The actress doubts the solution put forward by one of the clauses, according to which if a studio uses digital replicas of an actor this You will be paid corresponding to the hours you would be filming. “This is very relative, because a scene can take a month to film. They can say it took a day to make.” Actress Justine Bateman also criticized loopholes that allow studios to use digital replicas without actors' consent when certain conditions are met. The results of the votes will be known on December 5th. If there are 50%+1 “yes” votes, this contract will come into force for the next three years. “I have heard many actors saying that they will vote no”, said Kika Magalhães. Her husband, actor Chris Marrone, said that “if the majority fully understands what they are signing, then they vote no.” Marrone considered that the SAG contract “doesn’t seem like a big victory after all” and that there should be specific language to define the actors as human beings. This is something that actress Katja Herbers also defends, in opposition to “synthetic actors”. However, the expectation is that the “yes” will win, because the industry has been at a standstill for too long and there is widespread fatigue. This is what Mário anticipates Carvalhal, who belongs to the Animation Guild, stressing that the stoppage was long and the “no” appears to be a minority. “There is a possibility that some people will vote no, but I believe that these new measures will pass and be approved,” he told Lusa. “I think it is a minority that is very right in what they are demanding, but it was practically a whole year of work stopped in this city and I think everyone is ready to move forward”. Mário Carvalhal considers that the big risk of AI will be the reduction in quality and a change in the way the environment works. “Actors have more to claim, especially when it comes to those who do voices. There have already been cases where AI can do the job,” he said. “It's an inferior job, but for many companies it's enough and doesn't cost them anything.” Carvalhal considers that actors “must maintain their rights to image, voice and everything else, their likeness.” The Portuguese also stressed that, although the strikes did not achieve all their objectives, they allowed “important steps in the right direction” to be taken and this is an aspect of which the strikers are proud. “As much as possible, I think the workers won this fight”, he considered. For screenwriter Filipe Coutinho, member of the Portuguese Cinema Academy, the unions were justified in their fight, which took longer than expected. “I'm quite satisfied for the way both the WGA and SAG acted over these six months”, he told Lusa. “It’s an unbelievable time to have an entire industry at a standstill,” he stressed. “California is one of the largest economies in the world and it is incomprehensible that it took so long for the studios to offer a fair contract to writers and actors.” Filipe Coutinho also said that, even with the agreements, “everything is a little upside down. the air”, with studios and production companies “trying to understand what the next phase will be”. The Portuguese mentioned changes in the business model, with 'blockbusters' expected to fail at the box office, cancellation of films and the dilemma of 'streaming '.“No one really knows what to invest in and under what conditions to invest, and now contracts also change the approach to content production.” Afonso Salcedo, lighting artist, who worked on the new Disney film “Wish – The Power of Desires”, considers that the strikes were difficult but important, at a time when it is not yet clear to what extent AI will affect the industry. “The agreements will last three years so I think it is a good step to see what it is like that the technologies will work in the coming years”, he indicated, noting that the animation segment will have to renegotiate the contract in 2024. “It will be interesting to see what will happen, if we are going to negotiate protections against Artificial Intelligence”, stated Afonso Salcedo. “Maybe, next year, we will get into these fights with the studios again.” The vote on the agreement reached between the SAG-Aftra union and the studios runs until December 5th. The results will be tabulated and published on the same day. — adherents, 2d ago

new Ralph Ranalli (Intro): Welcome to the Harvard Kennedy School PolicyCast. I’m your host, Ralph Ranalli. When ChatGPT and other generative AI tools were released to the public late last year, it was as if someone had opened the floodgates on a thousand urgent questions that just weeks before had mostly preoccupied academics, futurists, and science fiction writers. Now those questions are being asked by many of us—teachers, students, parents, politicians, bureaucrats, citizens, businesspeople, and workers. What can it do for us? What will it do to us? Will it take our jobs? How do we use it in a way that’s both ethical and legal? And will it help or hurt our already-distressed democracy? Thankfully, my guest today, Kennedy School Lecturer in Public Policy Bruce Schneier has already been thinking a lot about those questions, particularly the last one. Schneier, a public interest technologist, cryptographer, and internationally-known internet security specialist whose newsletter and blog are read by a quarter million people, says that AI’s inexorable march into our lives and into our politics is likely to start with small changes like AI’s helping write policy and legislation. The future, however, could hold possibilities that we have a hard time wrapping our current minds around—like AIs creating political parties or autonomously fundraising and generating profits to back political parties or causes. Overall, like a lot of other things, it’s likely to be a mixed bag of the good and the bad. The important thing, he says, is to using regulation and other tools to make sure that AIs are working for us—and even paying us for the privilege and not just for Big Tech companies—a hard lesson we’ve already learned through our experience with social media. He joins me today. — harvard.edu, 2d ago

new Section 4 argues that pretty much the whole essay would need to be thrown out if future AI is trained in a substantially different way from current LLMs. If this strikes you as a bizarre unthinkable hypothetical, yes I am here to tell you that other types of AI do actually exist, and I specifically discuss the example of “brain-like AGI” (a version of actor-critic model-based RL), spelling out a bunch of areas where the essay makes claims that wouldn’t apply to that type of AI, and more generally how it would differ from LLMs in safety-relevant ways. — alignmentforum.org, 2d ago

new One notable side effect of the advances of generative AI is the evolution of fraud in the form of deepfakes. These will pose a growing threat to biometric processes, such as those used in identity verification. This includes both presentation and injection attacks. According to market experts, presentation attacks using deepfakes are roughly 10 to 100 times more common than injection attacks. In 2024, it will become ever more important for banks and financial service providers to rely on remote identity verification processes that validate the user’s face biometrics and perform liveness checks to detect and prevent presentation attacks and tackle the rising number of fraud attempts. Learning more about the user’s device and where it comes from, securing the communication between camera and application, and the usage of NFC (near field communication) technology will all start to play bigger roles in the fight against fraud. — Financial IT, 2d ago

new Ammanath: My advice for companies is to first define the principles you want to adhere to. Whether building AI in house or sourcing it from a vendor, companies need to first define the principles they want to align to and run the technology across that set of defined principles. There are questions that can then be asked about those principles to ascertain whether the technology follows those principles. When these principles are defined upfront, companies can get a lot clearer on what is acceptable and what is not acceptable, and measure the consequences and outcomes of applying emerging technologies. — Financier Worldwide, 2d ago

new INFRASTRUCTURE opportunities centered on increasing access to composting/food scrap hauling services. Increasing the number of free drop off locations located at farmers markets, gardens, churches, public parks, and schools was mentioned numerous times possibly indicating a belief that this might be the easiest or quickest approach to the adoption of composting if “ drop-off sites [were] in every neighborhood .” More gardens could also host on-site community composting if they had money available to pay stewards. Increasing municipal collection ( "Bins for All!") and community composting efforts and expanding options for home composting and for renters were all mentioned as options to increase access as was the development of a compost (service) directory. Regardless of how access to composting services was increased it should be affordable as “[you] shouldn't have to pay to do right thing.” Opportunities to utilize more appropriate technology abound including using AI for sorting to reduce contamination, developing rat-proof bins (for collection and home composting), using biodigesters, and perhaps creating a new type of facility to handle (plastic-based) ‘compostable’ (biodegradable) serve-ware. To support the development of infrastructure opportunities incentives such as "raising landfill tipping fees [or creating a] methane tax on private LF owners" and funding such as the "potential to pursue Federal funding to pilot creative programs" are critical. Increasing collaboration and coordination is also an opportunity to develop infrastructure with at least one participant wondering, “ Where is regional planning org? (e.g. CMAP)” and now is the time to increase collaboration because "passion exists among food producers in the region who need soil!!" Rather than looking to individual households for new sources of materials to make compost, restaurants, breweries, and landscapers and other large food waste generators could be better engaged and plugged in to composting perhaps driving or at least raising awareness of the issue for individual households. Attendees also mentioned as opportunities new places to process and acquire compost or new ways to handle food waste that included empty warehouses and factories, vacant lots, big box stores offering pickup of compost and drop off of scraps and sending food waste from large institutions to hog farms 4 . A list of comments on Opportunities in Infrastructure are displayed in Table 8, Appendix 1. POLICY opportunities included creating mandates for large generators (such as grocery stores, food processors, schools and universities) to compost and for public projects (roads, landscaping, buildings) to use finished compost. These two policy changes have the power to directly increase demand and may work to create a consistent end market for finished compost. There may exist a scalar mismatch in the region for compost— demand by individual consumers may be too small to justify the amount of effort it takes to create the compost so there needs to be "more emphasis on getting more finished compost to market." Other opportunities to increase demand for the finished product and access to services include passing Right to Compost legislation “so that building managers and landlords don't stand in the way" of their residents using compost pick up services; instituting bans and creating incentives and/or disincentives such as increasing landfill tipping fees ; and incentivizing compost usage by farmers and public works. Creating consistent, stable, and expanded end markets for finished compost and the support for processing infrastructure is extremely important when implementing policies that would increase the amount of feedstock available to create compost. Policy opportunities that did not require a large lift included creating new or expanding existing programs as "many municipalities already accept leaves & lawn clippings. Expanding to collecting food waste scraps is low- hanging fruit" and ensuring that funding is sufficient especially for creating technical assistance positions to support compost collection and processing. Also identified as an opportunity is to increase regional coordination... — extension.org, 2d ago

new Those risks are compounded when considered against a catch phrase of our time – “data is the new oil” — underscoring data’s role as the critical resource in the 21st-century economy. To be absent from the data sets on which AI understands the world is to go missing entirely.And lest we allow ourselves to think there will be a break in this exponential growth, Hartmut Neven of the Quantum Artificial Intelligence Lab at Google would remind us of a law named for him — Neven’s law — which says that quantum computers are gaining computational power at a doubly exponential rate and, while a long way off, has the potential to dwarf Moore’s law. Quantum computing raises the spectrum of sentient AI that would eventually come to think and feel like humans.Indigenous Canadian writer Alicia Elliott is not working on a law per se but on reinventing the Haudenosaunee creation story. Her people know what it means to wrestle back their culture and texts after losing them to outside forces. Looking to the future, she says there is nothing more important than to define and defend what it means to be human. Policymakers would do well to consider all that that means. — GovTech, 2d ago

new Introducing Landing AI – the groundbreaking solution that takes the complexity out of building computer vision systems. Say goodbye to hours of tedious coding and programming, and say hello to a world where creating cutting-edge technology is as simple as having a conversation.Landing AI puts the power in hands, empowering the customer to create jaw-dropping computer vision systems in mere minutes. This intuitive interface guides through the process, eliminating any guesswork and providing with a seamless experience.With Landing AI, the possibilities are endless. Were have made it the mission to democratize AI, ensuring that anyone, regardless of their technical background, can harness the power of computer vision.Whether customers in the field of healthcare, manufacturing, retail, or any other industry, Landing AI has the tools that need to revolutionize work. Unlock new insights, automate processes, and stay one step ahead of the competition with this state-of-the-art computer vision technology.Join the ranks of forward-thinking professionals who are already leveraging the power of Landing AI to transform their businesses. Discover the possibilities that await and embrace a future where innovation knows no bounds. Don't let complex coding hold back – take the leap and experience the magic of Landing AI today. — saasworthy.com, 2d ago

new The AI floodgates opened in 2023, but the next year may bring a slowdown. AI development is likely to meet technical limitations and encounter infrastructural hurdles such as chip manufacturing and server capacity. Simultaneously, AI regulation is likely to be on the way.This slowdown should give space for norms in human behavior to form, both in terms of etiquette, as in when and where using ChatGPT is socially acceptable, and effectiveness, like when and where ChatGPT is most useful.ChatGPT and other generative AI systems will settle into people’s workflows, allowing workers to accomplish some tasks faster and with fewer errors. In the same way that people learned “to google” for information, humans will need to learn new practices for working with generative AI tools.But the outlook for 2024 isn’t completely rosy. It is shaping up to be a historic year for elections around the world, and AI-generated content will almost certainly be used to influence public opinion and stoke division. Meta may have banned the use of generative AI in political advertising, but this isn’t likely to stop ChatGPT and similar tools from being used to create and spread false or misleading content.Political misinformation spread across social media in 2016 as well as in 2020, and it is virtually certain that generative AI will be used to continue those efforts in 2024. Even outside social media, conversations with ChatGPT and similar products can be sources of misinformation on their own.As a result, another lesson that everyone – users of ChatGPT or not – will have to learn in the blockbuster technology’s second year is to be vigilant when it comes to digital media of all kinds.Tim Gorichanaz, Assistant Teaching Professor of Information Science, Drexel UniversityThis article is republished from The Conversation under a Creative Commons license. Read the original article. — GovTech, 2d ago

new According to NI, the objective goal is survival of the population, while AI's goal should be to extend and maximize human capability—AI should complement the human brain. AI's position ultimately comes down to the idea that all disciplines require creativity, and AI is "more than happy working for science… especially in the area of generating big and longitudinal data for machine learning."... — phys.org, 2d ago

new The cautious yet optimistic adoption of these technologies by cities like Boston and states like New Jersey and California signals a significant shift in the public-sector landscape.The journey from skepticism to the beginnings of strategic implementation reflects a growing recognition of the transformative potential of AI for public good. From enhancing public engagement through sentiment analysis and accessibility to optimizing government operations and cybersecurity, generative AI is not just an auxiliary tool but a catalyst for a more efficient, inclusive and responsive government.However, this journey is not without its challenges. The need for transparent and accountable technologies, responsible usage, constant vigilance against potential misuse, and the importance of maintaining a human-centric approach in policymaking are reminders that technology is a tool to augment human capabilities, not replace them.With responsible experimentation and a commitment to continuous learning, governments can harness the power of generative AI to reshape how they deliver public services. The future of governance is being rewritten, and it's up to us to ensure that this story is one of progress, inclusivity and enhanced public welfare.Beth Simone Noveck is a professor at Northeastern University, where she directs the Burnes Center for Social Change and its partner projects, the GovLab and InnovateUS. She is core faculty at the Institute for Experiential AI. Beth also serves as chief innovation officer for the state of New Jersey. Beth’s work focuses on using AI to reimagine participatory democracy and strengthen governance, and she has spent her career helping institutions incorporate more participatory and open ways of working. — GovTech, 2d ago

new He pointed to the real-world example of this disparity in the digital equity space. While Denver’s digital equity needs are primarily centered around affordability of Internet service, other parts of the state face affordability and connectivity issues.Because of the collaborative relationships he built at the local level, Edinger feels well positioned to work with municipalities to advance technology use in different areas — including expanding connectivity and developing AI policy.Another major area he plans to focus on is accessibility. The state’s work in this space so far has included the launch of the Aira tool for Coloradans with low vision and a pilot program to help state workers better serve individuals with disabilities using VR, but there is more work to be done. Accessibility across state government is a critical piece to ensuring all constituents are served equitably, he said.And although Edinger expects emerging technologies to continue to impact government, he also underlined the importance of effective enterprise management systems. The technology working behind the scenes is an important foundation for any future innovation, he said.At the heart of Edinger’s vision for OIT is the people — employees and constituents alike. Empowering employees through things like process improvements, Lean, and other technology-enabled advances is the best way to make state government better, he said.“I will just say I am confident that investing in people and unlocking their potential is the way we will get there,” he said.The brief period of overlap between Edinger and Neal-Graves has helped enable a smooth transition for OIT to prepare the agency for future work under Edinger’s leadership. As Neal-Graves recently told Government Technology, the future for OIT is bright. He expects the state to continue advancing in digital government and digital equity. — GovTech, 2d ago