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new To come to grips with those questions, start with Anthropic. AWS bought into the startup, taking a minority stake with both sides able to raise the investment to as much as $4 billion, for two reasons. The obvious reason is that Anthropic will make AWS its primary cloud provider—bringing with it Claude, its foundation model (a vast digital network like the one that supports ChatGPT), and the AI assistant by the same name that comes with it. (Anthropic introduced Claude in March; Claude 2 debuted in July, and a faster, cheaper version called Claude Instant 1.2 was released in August.) Future versions of Claude will be available to AWS customers through a service called Bedrock, which offers access to many foundation models. AWS has built or acquired access to several such models, and it argues that its cybersecurity and range of services for those models exceed what OpenAI currently offers. Still, none of AWS’s models has shown the range or efficacy of OpenAI’s GPT-4—hence the “falling behind” narrative.Fortune, 9h ago
new ...“Simulation is one of the most promising future technological applications, and it’s already leaving its mark today. Thanks to rapid advances in GPU hardware and quantum information science, we’re finally able to harness AI for more specialized applications that will have a profound impact on our world,” said Eric Schmidt, Chairman of SandboxAQ. “SandboxAQ’s AI simulation capabilities, augmented with NVIDIA accelerated computing and quantum platforms, will help enable the creation of new materials and chemical compounds that will transform industries and address some of the world’s biggest challenges.”...HPCwire, 19h ago
new CN.AI is focusing its AI Human business on the B2B market for organizations and has recently entered the B2C market by developing and launching KT AI Human Studio. In this regard, the official said, “We have expanded our horizons to the B2C market because we believe that there will come a time when not only companies but also individuals, such as so-called ‘persons with two jobs,’ freelancers, and lecturers, will freely use the AI Human. Based on our generative AI technology and our belief that ‘AI creates opportunities for everyone,’ we will continue to research and develop technologies to lead the ‘With AI’ era where everyone can easily and quickly use AI.”...Journal of Cyber Policy, 20h ago
new Continually remind employees to apply their judgment over the long term. Vahe Andonians, chief technology officer and chief product officer of Cognaize, said that we need humans to apply their judgment to AI outputs even when we no longer need to be checking its facts. “I'm going to steal from Nietzsche,” he said, “It should be humans because we are the only ones that can suffer. AI is not going to suffer…so the judgment layer should be us.” George Lee, co-head of applied innovation at Goldman Sachs, added that one thing his team has been focused on is how to encourage employees to keep a sharp eye, even when the AI system is performing well: “After the 10th experience of it looking just great, are you going to pay attention?” (A recent study on BCG consultants, covered by Charter, illustrated the danger of employees ‘switching off their brains’ when working with impressive AI systems.)...Charter, 1d ago
new Likewise, in surgical domains, including the intricate field of spine surgery, a notable advancement is the introduction of robotic assistants, designed to work alongside surgeons in spine surgery, says Dr S. Vidyadhara, chairman and head, spine surgery, and consultant, robotic spine surgery, Manipal Hospital Old Airport Road. When combined with augmented reality, the CT/MRI images can be superimposed real time during the surgery, providing surgeons with an in-depth 3D view of the surgical site and thus enhancing their ability to make informed decisions. “This is being used in complex cancer surgeries, where the tumour is hidden inside the organ. With the help of AI, a surgeon can get the clear picture and feedback about the clear margins of the cancerous tumour to be removed,”says Dr Saurabh Patil, consultant urologist and robotic surgeon, Fortis Hospital, Mumbai. “AI also helps in the training of new surgeons by comparing the steps by expert surgeons and providing real-time feedback to a novice surgeon.”...theweek.in, 1d ago
new To come to grips with those questions, start with Anthropic. AWS bought into the startup, taking a minority stake and committing to eventually invest up to $4 billion, for two reasons. The obvious reason is that Anthropic will make AWS its primary cloud provider—bringing with it Claude, its foundation model (a vast digital network like the one that supports ChatGPT), and the AI assistant by the same name that comes with it. (Anthropic introduced Claude in March; Claude 2 debuted in July, and a faster, cheaper version called Claude Instant 1.2 was released in August.) Future versions of Claude will be available to AWS customers through a service called Bedrock, which offers access to many foundation models. AWS has built or acquired access to several such models, and it argues that its cybersecurity and range of services for those models exceed what OpenAI currently offers. Still, none of AWS’s models has shown the range or efficacy of OpenAI’s GPT-4—hence the “falling behind” narrative.fortune.com, 1d ago

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new The chatbot's ability to accurately interpret and contextually apply scientific information represents a significant advancement in AI technology. By integrating a curated set of scientific publications, Yager's AI model ensures that the chatbot's responses are not only relevant but also deeply rooted in the actual scientific discourse. This level of precision and reliability is what sets it apart from other general-purpose AI tools, making it a valuable asset in the scientific community for research and development.unite.ai, 1d ago
new Now, this study will also have repercussions. Because AI content is better than human content in a real world test, and it’s so, so much cheaper to have AI generate content than human content, organizations which are cost-focused are going to use AI much more – and they may not disclose its use. That imperils the jobs of content creators because you’ll need fewer creators overall. This is something that aligns with what we’ve been saying forever – a person skilled with AI will take the jobs of people who are not skilled with AI.Christopher S. Penn - Marketing Data Science Keynote Speaker, 1d ago
new ...22, 40, 50, a, able, About, above, Adding, administrative, administrators, advances, AI, AI in Healthcare, AI programs, AI Technology, AI Tools, alarming, All, also, always, American, among, an, analytics, and, another, any, app, applications, applied, apply, ARE, areas, around, AS, ask, assess, assigned, assist, Assistant, assisted, At, automate, barrier, BE, become, Bedroom, been, being, Below, benefits, benefitting, BEST, better, beyond, Biggest, Bit, Boost, both, breakthroughs, burnout, business, Busy, But, by, CAN, can help, cannot, care, Careers, cases, certain, challenges, challenging, change, changes, ChatGPT, check, check in, clinical, clinical trials, come, comes, comfort, coming, Communication, community, Compensation, competition, compliant, concept, concerns, connect, Considerations, consumption, contact, contribute, controversial, Conversation, Cost, Costs, could, counterparts, countless, course, created, crowded, Daily, data, day, Day-to-day, deal, Demand, demanding, depth, described, designed, detect, developing, Development, developments, Devices, diagnosis, died, difficult, Dinner, Direct, directly, Doctor, Doctors, doesn, Doesn’t, dollars, don, don't, down, downsides, Drive, During, easier, Effective, efficiently, effort, efforts, emerging, Emotional, ensure, entirely, Entrance, Environment, especially, Even, eventually, everyday, everyone, example, expedite, Experiences, experiencing, facing, factors, family, fear, Feature, feel, fewer, Filled, find, finding, First, fitbit, Five, Flexibility, floors, Focus, For, for example, form, forms, found, from, from home, functions, further, germs, Get, give, gives, Go, going, graduation, great, greatly, Growing, guidelines, half, Hard, Have, Health, health information, health services, healthcare, healthcare industry, Healthcare professionals, Healthcare Sector, healthcare security, heard, heart, Help, helpful, helping, High, Higher, higher patient, highest, holidays, Home, hopefully, Hospital, hospitals, HOURS, How, However, human, human effort, illness, Impact, impacted, impactful, implemented, improve, in, in-depth, include, Incorporated, Incorporating, industries, industry, infancy, influx, information, inspired, interact, interactions, interfaces, intervention, into, involved, Is, issues, IT, ITS, Job, Jobs, just, keep, later, Leadership, LeT, Level, levels, Life, like, little, lives, Long, Look, lot, make, Makes, Making, manage, manageable, many, mass, May, means, measures, medical, mental, Mental health, million, million dollars, Mindfulness, Minor, moments, monitoring, monitors, morale, more, most, moves, Much, naturally, nearly, Need, needing, networks, Nevertheless, Night, Now, Nursing, obvious., of, Of course, Offers, office, offices, often, on, Onboarding, once, ONE, online, only, Option, Other, other forms, out, outcomes, Over, overall, Paperwork, patient, patient care, patient monitoring, patients, People, perform, performs, personal, personalization, pew, phrase, physical, physically, place, Plan, plato, Plato Data Intelligence, PlatoData, poll, potentially, practical, preliminary, prevent, price, problems, procedures, Process, processes, Products, profession, professional, professionals, Programs, prominence, prominent, provide, provides, purpose, quality, Quality of Life, questions, quickly, quit, quite, raise, rate, Rates, rather, receiving, Recent, recent years, reduce, Reduces, reduction, RELATED, remote, Remote monitoring, removing, replace, represent, required, research, resolve, Resources, responsibilities, Retention, robot, Robotic, robotics, s, same, say, scenario, schedules, Sector, security, see, seem, seen, SELF, sense, serve, Services, shifts, should, shown, sick, significant, significantly, Simple, simplify, Simply, skills, slow, slowly, So, Soft, some, Someone, something, specifically, staff, standardized, standards, Steady, still, stopping, Streamline, stress, struggle, success, support, surgery, systemic, T, Tackle, Take, Take a look, takes, taking, Taking Care, talked, tangible, tasks, tech, techniques, Technological, Technologies, Technology, telehealth, Than, that, that’s, The, the world, their, Them, themselves, then, There, there’s, These, they, think, this, thought, threaten, Through, throughout, time, to, tools, Tracking, tracks, trade, Traditionally, Trials, truly, turnover, ultimately, under, understatement, Updates, use, Used, using, usually, Various, Visit, visiting, vital, vitals, want, Watch, way, ways, we, wearable, WELL, well-being, What, When, Which?, while, WHO, will, with, within, without, won, Work, Work Environment, work from home, Work Processes, workers, working, world, worse, would, year, years, zephyrnet...Zephyrnet, 1d ago

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This is where the uniquely human skill to think critically becomes indispensable. Logical reasoning enables us to dissect AI outputs, identifying potential flaws or inconsistencies. Reflective thinking encourages employees to consider the broader implications and contexts of the information presented to them. Rational thought allows us to weigh the evidence, discerning between the relevant and the extraneous. Unbiased evaluation ensures that we remain vigilant to potential biases, both from the AI and from our own preconceptions. Employees cannot afford to be passive recipients of generative AI output. They must become active evaluators, synthesizers, and decision-makers. An employee’s ability to critically assess, challenge, and refine AI outputs will determine the success of the human-AI collaboration.Fast Company, 17d ago
Digital transformation has evolved from the simplistic notion of creating an electronic presence to rethinking an organization’s business processes and accomplishing this reinvention at scale. In 2024, digital transformation means rethinking processes from the perspective of our customers. Central to this shift is a deep, empathetic understanding of customer needs, interwoven with digital insights from their interactions with our brand. This approach integrates digital transformation seamlessly into the customer experience journey. Viewed this way, digital transformation is a natural extension of customer experience. In 2024, the challenge is linking human-centric approaches to the power of data. Ignoring this element will yield unsatisfactory results that do not reflect customer needs or foster consumer loyalty. Many companies may fall into the trap of investing heavily in AI tools, mistakenly equating them with modernization. While AI can enhance efficiency, its true potential is unlocked only when paired with relevant data and a profound customer understanding. Successful digital transformation in 2024 rests on a blend of data-driven strategies and a genuine, human-centric approach to customer engagement. Companies aiming for transformational success must refine their data analysis capabilities while deeply empathizing with their customers. This dual focus will be the cornerstone of thriving in the digital landscape of 2024.Thinkers360 | World’s First Open Platform For Thought Leaders, 16d ago
Musk's relationship with artificial intelligence is characterized by its nuance. While he is a proponent of AI development and its potential to augment human capabilities, he also remains cautious about the risks it poses to humanity. Nevertheless, his company is steadfast in its commitment to responsible AI development, with Grok being a prime example.interestingengineering.com, 28d ago
Excessive dependence on AI has the capacity to erode human empathy, logical thinking, innovation and interpersonal abilities as well. As AI becomes more integrated into diverse facets of our existence, there is concern that it might endanger fundamental human characteristics and the bonds within our communities.Techiexpert.com, 3d ago
Compounding this problem is the fact that AI research requires extremely large amounts of computing power, which in turn requires extremely large amounts of money. This is said to be the main driving force behind Altman’s attempts to bring in larger sources of funding, both through partnerships and investment from companies such as Microsoft, and through a planned initial public offering for OpenAI, which at one point was expected to value the company at nearly ninety billion dollars. In a sense, this need for funding also dictated the awkward corporate structure of OpenAI. The company was originally founded as a nonprofit with the goal to open up AI research. But once it became obvious how much money would be needed to develop a large computing infrastructure, Altman and others decided that it was necessary to have a for-profit arm that could strike large-scale funding deals.Columbia Journalism Review, 4d ago
As organisations today accelerate the deployment of cloud-native applications, developers want to find ways to reduce repetitive tasks so they can focus on building new applications and shipping new features. IDC estimates that 750 million cloud-native applications will be built in the next two years, and that number will likely increase as enterprises and startups alike take advantage of generative AI for both building applications and reinventing end-user application experiences. Developers want to integrate generative AI-powered coding assistants into their day-to-day workflow to help them increase their productivity and focus on harder problems. However, these assistants are often trained on publicly available datasets or a company’s internal data, and some tools developers build with may not have high-quality, publicly available code samples included as part of a coding assistant’s training data. As a result, these coding assistants can provide some support for these tools, but the recommendations may not conform to best practices. While developers have realised the potential benefit of AI-powered coding companions across many tasks, they want these solutions to be further optimised for the tools they use today so they can unlock the full potential of generative AI across their day-to-day work.itwire.com, 27d ago

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new The job of marketing professionals, however consistent in goal, allows for a nearly infinite amount of variety. With that comes freedom to be creative, inventive, and forward thinking. While such systems as AI and big data analysis have enabled impressive and effective ways to measure effective marketing strategies, there are still other ways to go about enhancing marketing campaigns for successful returns.With the number of analytical tools, proven marketing strategies, predictive consumer behavioral patterns, and design techniques, there are still a number of other ways to engage consumers.Here are some design thinking tools and techniques which can help to create compelling digital marketing content. However, let’s begin by unpacking what is meant by design thinking.SmartData Collective, 1d ago
new Artificial intelligence (AI) is at the forefront of boosting efficiency. AI systems can analyze large datasets, automate routine tasks, and even make predictive analyses, saving time and reducing the potential for human error.Techiexpert.com, 2d ago
new At Oracle NetSuite, we are heavily investing in the user experience to make it natural and intuitive. Our user interface, built upon Oracle’s Redwood Design System, aims to simplify interactions and minimize the need for extensive training. It’s designed to be purpose-built for specific workflows, resembling a conversation with an intelligent assistant. Our goal is to make AI feel like a seamless part of the user’s experience, guiding, advising, and assisting users based on their needs and preferences. We have long aimed for intelligent assistance in Oracle NetSuite, and it’s now within reach thanks to advanced technology.DATAQUEST, 2d ago
new Researchers have for years tried to get AI models to solve math problems. Language models like ChatGPT and GPT-4 can do some math, but not very well or reliably. We currently don’t have the algorithms or even the right architectures to be able to solve math problems reliably using AI, says Wenda Li, an AI lecturer at the University of Edinburgh. Deep learning and transformers (a kind of neural network), which is what language models use, are excellent at recognizing patterns, but that alone is likely not enough, Li adds.Gizmodo, 2d ago
new AI has evolved so rapidly over the last 12 months, it’s difficult to pinpoint exactly where it will go in 2024. However, our panelists view it as a tool that won’t replace the human workforce, but rather unlock their potential and boost productivity if applied correctly. The PR and comms industry, like many others, has a lot of catching up to do when it comes to implementing new technology, but the right partner can help leverage these opportunities and position teams for success.Cision, 2d ago
new It seems to me that, on the authors’ view, an important input to “human alignment” is the environment that we’re trained in (rather than details of our brain’s reward circuitry, which is probably very simple). It doesn’t seem to me that environmental factors that make humans aligned (with each other) should generalize to make AI systems aligned (with humans).alignmentforum.org, 2d ago

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Security around AI will be important, with the ability to do more and know more, and the most likely source of an attack being a valid credential being misused, according to Baer. Companies and industries are having a reckoning and need to define the values they want to live by — with tech being human-constructed and the potential for underserved communities to gain more accessibility, while also aiming for more, better and faster progress in a deliberate and conscious way.SiliconANGLE, 4d ago
The second challenge for the ongoing legislative efforts is the fragmentation. AI systems, much like living organisms, transcend political borders. Attempting to regulate AI through national or regional efforts entails a strong potential for failure, given the likely proliferation capabilities of AI. Major corporations and emerging AI startups outside the EU’s control will persist in creating new technologies, making it nearly impossible to prevent European residents from accessing these advancements. In this light, several stakeholders[4] suggest that any policy and regulatory framework for AI must be established on a global scale. Additionally, Europe’s pursuit of continent-wide regulation poses challenges to remaining competitive in the global AI arena, if the sector enjoys a more relaxed regulatory framework in other parts of the world. Furthermore, Article 6 of the proposed EU Artificial Intelligence Act introduces provisions for ‘high-risk’ AI systems, requiring developers and deployers themselves to ensure safety and transparency. However, the provision’s self-assessment nature raises concerns about its effectiveness.Modern Diplomacy, 20d ago
The turmoil at ChatGPT-maker OpenAI, bookended by the board of directors firing high-profile CEO Sam Altman on Nov. 17, 2023, and rehiring him just four days later, has put a spotlight on artificial intelligence safety and concerns about the rapid development of artificial general intelligence, or AGI. AGI is loosely defined as human-level intelligence across a range of tasks. The OpenAI board stated that Altman’s termination was for lack of candor, but speculation has centered on a rift between Altman and members of the board over concerns that OpenAI’s remarkable growth – products such as ChatGPT and Dall-E have acquired hundreds of millions of users worldwide – has hindered the company’s ability to focus on catastrophic risks posed by AGI. OpenAI’s goal of developing AGI has become entwined with the idea of AI acquiring superintelligent capabilities and the need to safeguard against the technology being misused or going rogue. But for now, AGI and its attendant risks are speculative. Task-specific forms of AI, meanwhile, are very real, have become widespread and often fly under the radar.GovTech, 6d ago

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new ...1, 10, 100, 25, 41, 80, a, able, accepts, Account, accurately, achieving, across, adaptability, Added, address, addressing, aes, ahead, AI, AI Tools, alert, alerts, All, allows, also, always, an, analyzed, analyzes, and, another, answer, any, app, approach, approaches, approval, approve, approved, ARE, around, AS, ask, asked, assigned, associated, At, Authority, Automated, Automating, available, Away, background, base, based, BE, become, becomes, been, before, being, benchmarks, benefits, better, beyond, biases, Biggest, binary, blend, board, both, Breakdown, Broken, budget, business, businesses, But, by, call, calls, CAN, capabilities, capable, capture, captured, categorized, ceo, challenges, chance, channels, checkpoint, clear, click, Close, closed, closing, closure, closures, commonly, compared, compatibility, competitiveness, completion, confidence, Consistency, constantly, Construct, consuming, contact, continue, conventional, Conversation, conversations, conversions, cornerstone, could, creation, criteria, critical, CRM, customer, customer base, Customer-Centric, Customers, Cycle, data, data extraction, date, day, deal, Deals, decision, Decision Making, dedicated, delves, Demo, Details, develop, devoted, DID, differ, different, directly, discovery, discussed, disrupting, Does, Does it Work, done, During, each, Easily, edit, Effective, efficiency, efficient, efficiently, either, elevating, emails, emerged, emotions, ensured, Ensures, equally, estimates, eventually, executives, existent, existing, experience, exploring, exponentially, extraction, factor, fails, FAST, fast growing, faster, few, Fields, Finally, financially, find, First, First contact, Flexibility, flow, Focus, focusing, For, Force, found, Framework, from, further, fuzzy, gathered, generate, generated, genuine, Get, gets, getting, give, gives, globe, Go, going, good, Growing, guess, had, Have, having, heavily, helps, here, High, Higher, Highlighted, highlighting, How, However, HubSpot, human, identifying, if, Impact, Impacts, implementation, important, in, incomplete, indicates, industry, inefficiencies, influence, influenced, information, innovative, insights, integral, integrate, integrated, integrates, Integrating, integration, integrations, interesting, into, intuition, invest, irrespective, Is, isn, issues, IT, ITS, Job, Key, Labels, landscape, largely, lead, Leaders, leads, left, less, levels, Leverage, Leverage AI, lie, like, likely, limiting, Long, long way, long-standing, lot, Made, make, Makes, Making, manual, manually, mark, marked, Market, May, means, meet, merely, met, methods, metric, Might, missing, more, more efficient, most, Much, Need, needed, needs, new, None, Now, Nuance, observe, obvious., of, often, on, once, ones, only, Operations, opportunities, Option, or, order, organization., Other, Others, our, out, outperformed, Over, part, personal, personalization, phase, phenomenal, Picked, pipeline, place, Platforms, plato, Plato Data Intelligence, PlatoData, possibilities, potential, potentials, power, pre, precision, preventing, prioritize, prioritizes, probability, Problem, Process, processes, Product, Products, projections, promising, prospect, Publishing, purchase, pursuit, qualification, qualify, quality, quicker, ranking, Rates, real, real-time, Realistic, really, recall, relevant, report, Request, Requests, requirement, reshaping, resounding, Results, revenue, review, revolutionized, rich, Right, robust, runs, s, sales, Sales Strategies, salesperson, satisfaction, saved, say, Scalability, Scale, scaling, Score, scoring, seamless, seamlessly, see, Send, sends, sent, serves, Service, set, setup, Share, Shows, significant, since, single, slack, Solutions, some, speed, standardized, standing, start, step, Step-by-Step, Strategic, Strategies, Stronger, structured, Study, successful, Such, Summary, support, surveys, Systems, T, tailor, tailored, takes, task, tasks, Team, Teams, template, Than, that, The, The Cycle, The Landscape, their, Them, then, There, they, this, those, thresholds, till, time, time-consuming, timeframe, timeline, times, to, tool, tools, Tracking, traditional, transcription, transformative, transforming, trying, understand, unique, Unlocking, untapped, up, Upfront, upon, urgency, us, use, Used, using, utility, valuable, value, vs, was, Water, way, we, were, What, What is, When, where, Which?, while, will, winning, wisely, with, without, Work, workflow, workflows, working, would, You, yourself, zephyrnet, zoom...Zephyrnet, 2d ago
new The success of ChatGPT speaks foremost to the power of a good interface. AI has already been part of countless everyday products for well over a decade, from Spotify and Netflix to Facebook and Google Maps. The first version of GPT, the AI model that powers ChatGPT, dates back to 2018. And even OpenAI’s other products, such as DALL-E, did not make the waves that ChatGPT did immediately upon its release. It was the chat-based interface that set off AI’s breakout year.There is something uniquely beguiling about chat. Humans are endowed with language, and conversation is a primary way people interact with each other and infer intelligence. A chat-based interface is a natural mode for interaction and a way for people to experience the “intelligence” of an AI system. The phenomenal success of ChatGPT shows again that user interfaces drive widespread adoption of technology, from the Macintosh to web browsers and the iPhone. Design makes the difference.At the same time, one of the technology’s principal strengths – generating convincing language – makes it well suited for producing false or misleading information. ChatGPT and other generative AI systems make it easier for criminals and propagandists to prey on human vulnerabilities. The potential of the technology to boost fraud and misinformation is one of the key rationales for regulating AI.Amid the real promises and perils of generative AI, the technology has also provided another case study in the power of hype. This year has brought no shortage of articles on how AI is going to transform every aspect of society and how the proliferation of the technology is inevitable.ChatGPT is not the first technology to be hyped as “the next big thing,” but it is perhaps unique in simultaneously being hyped as an existential risk. Numerous tech titans and even some AI researchers have warned about the risk of superintelligent AI systems emerging and wiping out humanity, though I believe that these fears are far-fetched.The media environment favors hype, and the current venture funding climate further fuels AI hype in particular. Playing to people’s hopes and fears is a recipe for anxiety with none of the ingredients for wise decision making.GovTech, 2d ago
new Dr. Fan steered the conversation in a different direction when she took the podium to discuss antagonisms and anxieties around AI and its development. She acknowledged the anxieties around labor replacement and the automation of certain white-collar jobs like researchers and writers, and she invited the audience to also consider the “unseen” jobs that AI has started to replace like servers at restaurants and self-check-out machines.Waterloo News, 2d ago
Artificial intelligence continues to dominate headlines in the wealth management space. But, will it eventually end up replacing everything outside of actual conversations between an advisor and a client? Possibly. Generative AI may still seem intimidating to many, but the reality is the future belongs to those who are willing to learn and implement it correctly. As the world’s first AI-powered GPT assistant [for financial advisors], SIFA is on a mission to automate ongoing communications between advisors and their clients.Wealth Management, 3d ago
Unfortunately, RPA is limited to mimicking human actions, including the automated replacement of human keystrokes or application programming interface (API). RPA can help by automating keystrokes. But to truly remove friction from the patient experience, organizations need to look beyond RPA and adopt AI to remove keystrokes and other steps, such as putting the onus on the patient and the provider to provide the information. AI applied in the right places can uncover the underlying payor details are needed to process a claim.hitconsultant.net, 3d ago
...24/7/365 uptime. Unlike human agents, AI doesn’t require rest. AI-powered chatbots or virtual assistants can provide 24/7/365 customer support on a website, via social media, messaging apps or any other channel the customer uses. Gone are the days of listening to endless hold music and eventually abandoning the call because it takes too long to reach a real person. These AI systems can promptly answer common customer questions freeing human agents to tackle more complicated, nuanced issues AI isn’t yet equipped to handle. If the query posed is too complex for the AI, it can transfer customers to live agents.MarTech Series, 3d ago

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Alongside these opportunities, AI also poses significant risks, including in those domains of daily life. To that end, we welcome relevant international efforts to examine and address the potential impact of AI systems in existing fora and other relevant initiatives, and the recognition that the protection of human rights, transparency and explainability, fairness, accountability, regulation, safety, appropriate human oversight, ethics, bias mitigation, privacy and data protection needs to be addressed. We also note the potential for unforeseen risks stemming from the capability to manipulate content or generate deceptive content. All of these issues are critically important and we affirm the necessity and urgency of addressing them.lesswrong.com, 26d ago
...“In a tech landscape abuzz with the potential of generative AI, understanding its power and pitfalls is a must. Organizations across every vertical are looking into how to leverage this technology to get ahead or simply ensure they can keep up with the latest and greatest advancements. Rushing implementation and forgoing the necessary learning process isn’t going to be worth the investment. A thoughtful, concerted approach that is rooted in data is essential for generative AI. To truly reap the advantages of AI investments, organizations must take a close look at their data strategy and ensure they are prepared for success. If using it to solve specific business problems is the goal, it’s key to consider how the training process for those models is done and examine the underlying foundation of data that you’re supplying in order to get the result you need.insideBIGDATA, 11d ago
As organisations today accelerate deployment of cloud-native applications, developers want to find ways to reduce repetitive tasks so they can focus on building new applications and shipping new features. IDC estimates that 750 million cloud-native applications will be built in the next two years, and that number will likely increase as enterprises and startups alike take advantage of generative AI for both building applications and reinventing end-user application experiences. Developers want to integrate generative AI-powered coding assistants into their day-to-day workflow to help them increase their productivity and focus on harder problems. However, these assistants are often trained on publicly available datasets or a company’s own internal data, and some tools developers build with may not have high-quality, publicly available code samples included as part of a coding assistant’s training data. As a result, these coding assistants can provide some support for these tools, but the recommendations may not conform to best practices. While developers have realised the potential benefit for AI-powered coding companions across many tasks, they want these solutions to be further optimised for the tools they use today so they can unlock the full potential of generative AI across their day-to-day work.CRN - India, 27d ago
Should a novel emerge not from these kinds of intelligence, but instead from our physical experience of the world: what we see, touch, feel in the blood and bones of our bodies? Even that realm, increasingly, is available to newer models of AI: GPT-4 and Google’s Bard chatbot have the capacity to respond to images; Meta’s ImageBind also responds to audio, infrared, depth, motion and position. Should a novel demonstrate mastery of the forms of storytelling – from plot arcs to patterns of motif to the movements of syntax and grammar – that novelists have worked within over centuries? Such forms, it could be argued, are essentially algorithms, and are therefore more easily mastered by an AI than a human.the Guardian, 23d ago
As might be expected, responses to these innovations have been mixed. The growth of Peer Review Studies as an interdisciplinary field of research has been particularly helpful in assessing their impact. On the positive side, one 2021 study found that an AI model was able to correctly predict human reviewer scores in a large proportion of cases. This should encourage us that AI judgements are not wildly out of line with those of humans. There is also potential for AI to reduce human forms of bias, which are shown to manifest in favour of authors from prestigious institutions, and against people from countries where in English is not the primary language. Machines are better than people at identifying dubious or duplicated plots and images meaning that AI could have a big impact in identifying problems before publication rather than afterwards.COPE: Committee on Publication Ethics, 18d ago
While patient-facing virtual assistants are the most obvious application of generative AI, one other use case is gaining ground. Providers can use the technology to draw from existing content – protocols and pathways, for instance, that guide patients in preparation for a procedure – to create guidance for similar services. Perhaps a large health system offers a range of orthopedic procedures across various facilities. Core pathways for knee surgery can be developed and then replicated – with necessary variations – to support other procedures like hip replacements. The opportunity to draw on existing and proven information and automate variations with minimal staff input saves significant time, money and effort.Physicians Practice, 20d ago

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In a time stuffed with deep fakes and false data, belief is essential for accepting and checking the reality of created content material. Blockchain know-how retains a transparent, unchangeable file each time content material is created. In a world more and more inundated with misinformation, TrustChain goals to revolutionize data integrity. Leveraging the facility of blockchain and generative AI, TrustChain has sought to create a safe and clear platform for verifying and authenticating digital content material. This enables customers to test the validity and origin of generative AI outputs. By connecting the generated content material to the blockchain, customers can ensure that the content material they cope with is correct which ends up in extra belief and fewer manipulation.BlaQue Crypto News, 3d ago
It’s inadvisable to jump the gun and sign the rising star that promises to transform your operations without any game experience, just as it’s unwise to shell out cash to the household name with an illustrious legacy that’s becoming weak in the knees and slow to keep up. When selecting a provider of intelligent automation solutions, you need to prioritize both innovation and experience and most importantly, an understanding of and commitment to your organization’s needs. Haphazardly filling your tech stack with every new tool that promises to yield the best value from AI will create a cacophony of platforms, inhibiting efficiency – take care in selecting your solutions and choose those that have proven their worth in the context of the modern enterprise.ReadWrite, 3d ago
Generative AI is the biggest development of our time. Like the internet, it will have a huge impact on teaching and learning. The AI tools of today go so far beyond what we are familiar with, and they continue to evolve, says Ray Schroeder, in conversation with Rod Lastra, Acting Dean, Extended Education. “Too many of us make first-level use of them, using them like Google search, rather than really using them as an assistant. They can provide so much more than that. We must help universities to understand the immensity and the potential they can provide to us.”...continuingedupdate.blogspot.com, 3d ago

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OpenAI predicts generative AI will impact 80% of all jobs. As AI continues to be top of mind for many businesses today, it is paramount that organizations be proactive about equipping employees with the tools and resources needed to learn about and properly use generative AI. Some would say that’s easier said than done. Talent equipped with the right AI skills is extremely limiting and hard to find. Instead of “buying” talent, upskilling and reskilling existing talent with AI skills is a far more sustainable option and also has the added benefit of improving workforce retention and employee engagement.RTInsights, 3d ago
However, with great promise comes great responsibility. As we celebrate the potential benefits of AI in agriculture, it is crucial to acknowledge and address the associated risks. The deployment of advanced technologies in farming raises concerns about data privacy, ethical considerations and the potential for exacerbating existing inequalities. How can we ensure that the benefits of AI are equitably distributed, reaching smallholder farmers who are the backbone of many agricultural economies?...Agrilinks, 3d ago
Goal: This project aims to get more grounding into how promising automating alignment research is as a strategy, with respect to both advantages and potential pitfalls, with the OpenAI superalignment plan as a potential blueprint/example. This will be achieved by reviewing, distilling and integrating relevant research from multiple areas/domains, with a particular focus on the science of deep learning and on empirical findings in deep learning and language modelling. This could expand more broadly, such as reviewing and distilling relevant literature from AI governance, multidisciplinary intersections (e.g. neuroscience), relevant prediction markets, and the automation of larger parts of AI risk mitigation research (e.g. AI governance). This could also inform how promising it might be to start more automated alignment/AI risk mitigation projects or to dedicate more resources to existing ones.alignmentforum.org, 3d ago
Just like technology, policies can quickly become outdated. They must be revised, replaced, or even removed. Although this isn’t the most exciting area of CISO work, creating clear policies that are proactive and empowering, not restrictive, can ensure employees gain the benefits of new technology without the risk. For example, generative AI (GenAI) can offer enormous benefits for a company — improved productivity, efficiency, and creativity. But without appropriate guardrails to govern how the technology is used and what data (or code) can be input into GenAI models, a company could be at extreme risk for compromise. Creating a formal policy with input from stakeholders throughout the company enables employee use of the technology while reducing risk.securitymagazine.com, 3d ago
The study by Miller et al. has far-reaching implications beyond technology and psychology and into the real world. The fact that there are still racial biases in AI-generated faces underscores the need for more diverse training data in the development of AI. If AI is trained on human data and human data is biased, then of course AI will be biased. The problem, though, is that by reflecting existing inequalities, AI risks exacerbating them if left unaddressed. In fields heavily reliant on AI, such as facial recognition for security purposes, it matters that white faces are differentially recognized compared to other racial groups.Freethink, 3d ago
Generative AI can offer useful tools across the recruiting process, as long as organizations are careful to make sure bias hasn’t been baked into the technology they’re using. For instance, there are models that screen candidates for certain qualifications at the beginning of the hiring process. As well-intentioned as these models might be, they can discriminate against candidates from minoritized groups if the underlying data the models have been trained on isn’t representative enough. As concern about bias in AI gains wider attention, new platforms are being designed specifically to be more inclusive. Chandra Montgomery, my Lindauer colleague and a leader in advancing equity in talent management, advises clients on tools and resources that can help mitigate bias in technology. One example is Latimer, a large language model trained on data reflective of the experiences of people of color. It’s important to note that, in May, the Equal Employment Opportunity Commission declared that employers can be held liable if their use of AI results in the violation of non-discrimination laws – such as Title VII of the 1964 Civil Rights Act. When considering AI vendors for parts of their recruiting or hiring process, organizations must look carefully at every aspect of the design of the technology. For example, ask for information about where the vendor sourced the data to build and train the program and who beta tested the tool’s performance. Then, try to audit for unintended consequences or side effects to determine whether the tool may be screening out some individuals you want to be sure are screened in.Hunt Scanlon Media, 3d ago

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Jim Davis: I do not see pushback from the existing workforce. There is generally high interest in engaging, as Dan says. I will add, though, that workers need to be aware, see leadership interest, and have access to the capabilities. We still see the gap widening between the larger companies that have the resources and those that don’t, and we still don’t see that manufacturing is viewed as a particularly high-tech profession from a future workforce standpoint. I did want to mention there can be workforce concerns with privacy and personal intrusion if AI is used to monitor individuals. I really like this new term of “co-piloting” that has emerged. It better communicates the value of using AI to support the worker to do his or her job better.The Manufacturing Leadership Council, 3d ago
It’s still early days as far as the deployment of AI models in production environments is concerned, but there is no doubt generative AI will have a major impact on how software is developed. AI models are a different class of software artifacts that are retrained instead of being updated, a process that occurs intermittently. As such, DevOps teams need to keep track of each time an AI model is being retrained to ensure applications are updated.DevOps.com, 3d ago
Because this may involve sensitive customer data, you’re choosing to isolate this workload from other models and host it on a single-model endpoint, which can make it challenging to scale because you have to spin up and manage separate endpoints for each FM. The generative AI application you’re using the model with is being used by service agents in real time, so latency and throughput are a priority, hence the need to use larger instance types, such as a P4De. In this situation, the cost may have to be higher because the priority is isolation, latency, and throughput.CoinGenius, 3d ago
Along with other evolving areas, like AI, this move is one of many that shows the world of recruiting is changing. Hiring pros are forced to reach further to get qualified talent. On the other hand, talent is continuing to blend social media with career development, and that trend is expected to continue as Gen Z and younger generations enter the workforce.HRMorning, 3d ago
AI has possible downsides and restrictions, just like any other new technology. Concerns around false information and data privacy have grown. Its seeming incapacity to forge genuine connections with the world around us raises other issues. The well-known blogging destination Medium has even implemented rules to limit the use of AI on its network, reminding readers that they are a place for human storytelling. For AI to be effectively applied in any industry, including events, businesses need to grasp the notion of “Explainable AI.”...Event-Technology Portal, 4d ago
At the edge where AI is being built into much smaller and less sophisticated systems, the potential pitfalls can be very different. “When AI is on the edge, it is dealing with sensors, and that data is being generated in real time and needs to be processed,” said Sharad Chole, chief scientist at Expedera. “How sensor data comes in, and how quickly an AI NPU can process it changes a lot of things in terms of how much data needs to be buffered and how much bandwidth needs to be used. How does the overall latency look? Our objective is to target the lowest possible latency, so from the input from the sensor to the output that maybe goes into an application processor, or maybe further processing, we’d like to keep that latency as low as possible and make sure that we can process that data in a deterministic fashion.”...Semiconductor Engineering, 4d ago

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Regulators need to implement guidelines that help standardize the language around AI, which will help with understanding the model being used, and ultimately regulate risk parameters for these models. Otherwise, its potential to take the exact same data set, and draw wildly different conclusions based upon its biases—conscious or unconscious—that are ingrained from the outset. More importantly, without a clear understanding of the model, a business cannot determine if outputs from the platform fit within its own risk and ethics criteria.TechRadar, 4d ago
However, the EO goes beyond attestation, Rose said. Developers will need to consider the security and safety of the AI tools on which their products are built, as well as the potential for hackers and other malicious actors to poison or attack these systems using that AI technology.Security Boulevard, 4d ago
In the upcoming year, I foresee that AI tools like ChatGPT and Midjourney will continue to transform how businesses operate and enhance their customer experiences. What really excites me is the potential of new quantum techniques to make these AI models faster and more efficient, ultimately reducing costs and environmental impact. This will make these AI models more accessible and speed up their adoption in the business world.Fast Company, 4d ago

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In creative fields, for instance, the ability to prove ownership of one's work becomes increasingly vital as AI-generated content proliferates. A strong digital identity enables creators to unequivocally claim their work, ensuring that the nuances of human creativity are not lost in the tide of AI efficiency. Moreover, in sectors like healthcare and finance, where personal agents are entrusted with sensitive tasks, a trustworthy, robust, self-sovereign identity ensures that these agents act in harmony with our real-world selves, maintaining the integrity and privacy of our personal data.windley.com, 6d ago
We have seen different jurisdictions adopt their own safeguards for AI use in dispute resolution. Some courts have issued practice directions that compel counsels to declare the type of AI tool used and in what scope. Other judges have required counsels to file certifications asserting that they have not used generative AI in their submission, or – if used – that it has been verified by a human. Such safeguards are prudent given AI’s current limitations. However, over time, AI is highly likely to find its way into playing a much larger role in dispute resolution as the technology evolves, and so these safeguards must also evolve to become more robust so as to ensure that the foundation of dispute resolution is not undermined. We must not lose sight of the fact that dispute resolution is human-centred and that its very purpose is to deliver justice through a mechanism humans can trust, which has to date been driven by their peers.The Singapore Law Gazette, 9d ago
We understand that the deadline to find an agreement on the AI Act ahead of the next parliamentary term is very tight. However, this should not be an excuse for the co-legislators to rush the process by taking shortcuts through ambiguous language purely to find swift compromises, creating significant legal uncertainty in the long run. In order to achieve its goal to protect Europeans from harmful and dangerous applications of AI while still allowing for development and encouraging innovation in the sector, and to potentially serve as model legislation for the rest of the world, the AI Act must be robust and legally sound. Everything else would be a wasted opportunity.COMMUNIA Association, 27d ago
The current state of AI ethics, with its narrow focus and calculable approaches, fails to address the full spectrum of ethical implications surrounding AI technologies. From the hidden human labor that powers AI systems to the environmental impact and the treatment of non-human life, there is an urgent need to broaden the ethical discourse. This expansion of focus would not only make AI ethics more inclusive and representative of real-world complexities but also bring back the field’s strength in addressing suffering and harm associated with AI technologies .ZME Science, 11d ago
The problem is that as AI tools continue to proliferate, human reviewers could be tempted to use them more and more to accelerate their model-training and data-labeling tasks. AI practitioners are currently debating the potential influence of incorporating AI tools into the feedback loop. That’s why it’s imperative that we find reliable ways to distinguish between AI-generated and human-generated data.Appen, 26d ago
How does one define a problem like media literacy? As W. James Potter notes in his 2010 essay “The State of Media Literacy,” the term means many different things to different people depending on where they stand on or how they use digital media. Scholars, educators, activists and people of different ages all view media literacy differently and their understanding of the term shapes how valuable they see it, especially when it comes to education and legislation.At its simplest, the National Association for Media Literacy Education defines media literacy as, “the ability to access, analyze, evaluate, create and act using all forms of communication.” Media literacy ranges from reading a book and discussing the author’s point of view to questioning whether a recent article about a political issue was written by an unbiased source, and what their bias is or how it shaped the piece.Until recently, media literacy has not been a priority for the majority of the country. Only 18 states have some legislative solutions in place for addressing media literacy education. But with generative AI on the rise and increasingly used in everyday digital media — from “fake news” taken seriously to social media posts that make use of generated images to tell a story — states are coming to grips with providing the most vulnerable populations with the tools necessary to help them avoid being misinformed.Governing, 18d ago

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There are ethical concerns surrounding AI content creation, such as transparency and the potential for misleading information. A heavy dependence on AI can curb human creativity, and additional resources are often needed for AI training and incorporation into existing workflows. Additionally, AI’s unpredictable nature can yield off-brand or inappropriate content. Lastly, AI’s originality might not match the depth a human writer provides.Yoast, 4d ago
However, these barriers are not insurmountable. It’s promising that both Congress and the White House acknowledge the profound societal and economic implications of AI in the US, demonstrating a sense of urgency in comprehending and mitigating potential harms through bipartisan efforts. Directing this momentum to increasing funding and supporting the recruitment of subject matter and industry experts to regulatory agencies would position the US as a leader in safeguarding against AI risk, while promoting technological innovation.Tech Policy Press, 4d ago
Against this background, we may ask, why is it that some of AI’s pioneers and early protagonists have begun to warn against potential dangers caused by AI? Among them is Geoffrey Hinton, who contributed to the development of the artificial neural networks behind chatbots and left Google with a warning that his invention could cause severe damage and that the programs might destroy humanity.Open Access Government, 4d ago
...“It is critical that a business is able to store, access and work with high-quality data to work with generative AI,” said Dr Swami. “Although creating and operating a solid data foundation is not a new idea, but it does need to evolve today and embrace a comprehensive integrated set of data services that can account for the scale and type of use cases that will be dealt with here – and AWS has the broadest set of database services that can deliver every type of service at the point, all with the best price performance. Organizations also need tools to work with data and be able to catalogue and govern data too – and across all these areas AWS provides the tools to be able to execute these functions and tasks.”...computerweekly.com, 4d ago
The scope of applications for this new system stretches across various industries and use cases. Customers can privately customise foundation models with their data, convert data into vector embeddings, and process these embeddings using MongoDB Atlas Vector Search. Applications responding to user queries can do so with relevant, contextualised responses, eliminating the need to manually code. For instance, a retail apparel organisation can develop a generative AI application to simplify the processing of inventory requests in real-time or personalise customer returns and exchanges with in-stock, similar merchandise suggestions. Fully managed capabilities from the upcoming integration offer secure use of generative AI throughout organisations with lower operational overheads.ChannelLife Australia, 4d ago
...a, ability, access, access controls, accessing, accordingly, accountability, accumulate, accuracy, accurate, accurately, acknowledge, actionable, activities, Additionally, address, adherence, Adopt, advanced, advanced analytics, advantages, Age, AI, AI algorithms, algorithms, align, All, allocate, Allowing, also, among, amount, amounts, an, analysis, Analysts, analytical, analytics, Analyze, Analyzing, and, anomalies, any, apparent, Applying, approach, ARE, areas, Arise, AS, Assessments, Attainable, attempts, attention, attitudes, Audits, automate, Automated, Backed, based, BE, become, becomes, before, being, benefit, benefits, BEST, best practices, beyond, biases, BIG, Big Data, big data tools, bottlenecks, bound, breaches, business, Business Benefits, business performance, business processes, businesses, But, by, CAN, can help, chain, challenge, challenges, challenging, change, changes, channels, characterized, Charts, Choices, clear, Collect, collected, Collecting, collection, 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indicators, individuals, industry, Industry Reports, information, information becomes, informed, Innovation, insecurity, Insider, insider threats, insights, integration, interactive, interpretation, Interviews, into, introduce, intuition, invest, investment, Investments, involved, involves, irrelevant, Is, issues, IT, ITS, Job, Key, Key Performance Indicators, KPIs, lack, landscape, language, large, lead, Leaders, Leadership, leading, learning, Leverage, leveraging, License, lies, likelihood, location, machine, machine learning, Machines, Made, Main, maintaining, maintenance, major, major issues, make, Making, making informed, management, managing, manual, Market, Marketing, maximum, May, meaning, meaningful, measurable, measures, Media, methods, Might, Mindset, minimize, mitigate, ML, ML algorithms, modeling, models, Modern, monetary, Monitor, more, Moreover, most, must, Navigate, necessary, Need, needs, Next, next step, NLP, objectives, observations, of, often, on, ONE, only, open, 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Through, throughout, time, to, Today, together, too, tools, toward, track, traditional, Training, transcription, transparent, Trends, turning, ultimately, unauthorized, Uncertainty, uncover, under, understand, understandable, Understanding, unstructured, unstructured data, up, Updates, use, Used, users, using, usually, utilized, utilizing, validating, valuable, Valuable Information, values, variety, Various, Vast, visual, visualization, Visualizations, Visualize, vital, volume, way, WELL, What, What is, When, where, Which?, while, WHO, wisely, with, within, without, Work, work together, working, zephyrnet...Zephyrnet, 4d ago

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Technology equates to opportunity. Each advancement – from robots to generative AI – provides investors with more options and advisors with the ability to scale. Robo-advisors are increasingly sophisticated and integrated into the entire investment ecosystem. While a crucial tool, robo-advisors can’t replace the human element of evaluating the larger financial health and well-being of a client’s financial life and planning.Benzinga, 26d ago
Generative AI has captured the collective imagination of the world for its ability to produce refined data, drastically simplify workflows and enable quicker turnaround times. For a landscape that has traditionally used human-centric manual methods of underwriting, claims processing, and customer service, the insurance industry is being presented with a game-changing opportunity to address many long-standing challenges.insurancebusinessmag.com, 19d ago
Malyon outlined the goal to lower the typical 800 reports from a grand prix to a more manageable 50, easing the strain on FIA staff. In addition to Computer Vision, the FIA trialled Catapult in Abu Dhabi, a system designed to improve car location accuracy. Chris Bentley, Single-Seater Head of Information Systems Strategy, mentioned how similar technology is used in NFL for player identification and how it could enhance the FIA's live feeds. He said: "There are examples in NFL where they can identify every player on the pitch, even if they're in a big huddle. We can also use that technology on our live feeds. That will be the same as the new tool, and then we will be able to draw the 'lines of interest'. And then the AI would learn as it goes along."...electronicspecifier.com, 4d ago

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But while we regulate its harms, we must not take away the benefits of this technology. I wondered what ChatGPT would say about its legacy. So, I asked it to write me a paragraph about it. This is what it came up with: “My legacy lies in the realms of facilitating communication, providing information, and aiding in problem-solving. Since my inception, I have been utilized by individuals and organizations worldwide, contributing to a wide array of discussions and endeavours. While I don’t possess personal experiences or ambitions, my impact is evident in the countless interactions where I’ve assisted users in generating content, learning new concepts, and fostering creative thinking. My legacy is intertwined with the evolving landscape of AI and its applications in enhancing human capabilities and understanding. The true measure of my legacy is reflected in the diverse ways people have harnessed my capabilities to connect, learn, and explore new frontiers in the digital era.”...Sify, 4d ago
While deploying AI solutions, it is important to proceed with caution given their evolving learning capabilities. The CAR strongly believes that there needs to be national oversight for AI applications, particularly as they relate to patient care. Best practices, rules, and regulations are necessary and should be monitored at a federal level. Despite the numerous benefits that AI could bring to patients and healthcare professionals, we must also remain cognizant of the potential risks associated with its application.Hospital News, 4d ago
Ayesha Iqbal, IEEE senior member and engineering trainer at the Advanced Manufacturing Training Centre added: "AI has significantly evolved in recent years, with applications in almost every business sector. However, there are some barriers preventing organisations and individuals from adopting AI, such as a lack of skilled individuals, complexity of AI systems, lack of governance, and fear of job replacement. With AI growing more rapidly than ever before, and already being tested and employed in education, healthcare, transportation, finance, data security, and more, it’s high time that the Government, tech leaders, and academia work together to establish standards and regulation for safe and responsible development of AI-based systems. This way, AI can be used to its full potential for the collective benefit of humanity."...electronicspecifier.com, 4d ago
Researchers from MIT and Meta AI have developed an object reorientation controller that can utilize a single depth camera to reorient diverse shapes of objects in real-time. The challenge addressed by this development is the need for a versatile and efficient object manipulation system that can generalize to new conditions without requiring a consistent pose of key points across objects. The platform can also extend beyond object reorientation to other dexterous manipulation tasks, with opportunities for further improvement highlighted for future research.MarkTechPost, 4d ago
A recent McKinsey report, led by auhtors Joe Caserta and Kayvaun Rowshankish, points out there is unrelenting pressure to "do something with generative AI". The report authors suggest IT and data managers "will need to develop a clear view of the data implications of generative AI." Perhaps most challenging "is generative AI's ability to work with unstructured data, such as chats, videos, and code," according to Caserta and his team. "Data organizations have traditionally had capabilities to work with only structured data, such as data in tables." This shift in data concerns means organizations need to rethink the overall data architecture supporting generative AI initiatives. "While this might sound like old news, the cracks in the system a business could get away with before will become big problems with generative AI.continuingedupdate.blogspot.com, 4d ago
...2. Creative Use of Virtual and Augmented RealityIn 2024, disregarding AR/VR is not a practical choice for those who may have successfully steered clear of it until now. The future promises immersive experiences through Virtual Reality (VR) and Augmented Reality (AR). It is imperative to broaden our reach by transforming events into interactive adventures, surpassing the traditional confines of in-person gatherings. VR and AR present opportunities for creative event elements, ranging from virtual tours, engaging presentations, venue explorations, hybrid participation, live demonstrations, and an extensive list of possibilities. Of course, being at the forefront of these innovations is crucial, and falling behind is not an option. 3. Elevating AI Proficiency: In 2024, the mastery of Artificial Intelligence (AI) will be a pivotal skill, transcending the trends of the day and becoming essential for unlocking unparalleled potential in event management. As an event manager, delving into AI-powered tools becomes imperative for transforming how you understand and cater to attendee preferences and behaviors. The once aspirational task of gleaning deep insights will be at your fingertips. Integration of AI into your event management repertoire will enable you to craft personalized event experiences, elevating attendee satisfaction, fostering heightened engagement, and positioning you as an event maestro, finely attuned to the pulse of your audience.eventcombo.com, 4d ago

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The real question is: how long will I be able to make such a claim convincingly? The issue of AI safety has created a new split between AI “doomers” and AI “accelerationists,” and your other political opinions may not help anyone predict what side of the divide you will stand on. Doomers think that if we create software capable of godlike intellectual powers, it is bound to be abused, or simply to choose to pursue its own goals, and the result might be the accidental extinction of humanity. Accelerationists believe that AI is part of the upward path of human technological sophistication; any delay in creating a world that uses AI to radically enhance human welfare would be a profound disaster.nationalpost, 10d ago
The development of artificial intelligence (AI) presents significant opportunities for economic and social flourishing. The release of foundational models such as the large language model (LLM) ChatGPT4 in early 2023 captured the world’s attention, heralding a transformation in our approach to work, communication, scientific research, and diplomacy. According to Goldman Sachs, LLMs could raise global GDP by 7 percent and lift productivity growth by 1.5 percent over 10 years. McKinsey found that generative AI such as ChatGPT4 could add $2.6-$4.4 trillion each year over 60 use cases, spanning customer operations, marketing, and sales, software engineering, and R&D.1 AI is also impacting international trade in various ways, and LLMs bolster this trend. The upsides of AI are significant and achieving them will require developing responsible and trustworthy AI. At the same time, it is critical to address the potential risk of harm not only from conventional AI but also from foundational AI models, which in many cases can either magnify existing AI risks or introduce new ones.Brookings, 17d ago
Generative AI has opened up the ability for people to have conversations with technology in ways they never have before. Jason pointed out that large language models are capable of understanding how employees speak, not in specialized HR or IT terms. Now people can say, “I’m having a baby,” and get benefit details or guidance on updating their information. That back-and-forth exchange helps build trust and adoption of the technology.reworked.co, 19d ago
Given the volume of information AI can analyse, cybercriminals now have the capacity to generate highly personalised business attacks. These programs help scammers understand your customer’s purchasing patterns, your business habits and operations and your preferences to create messages which are more likely to deceive. Likewise, given the speed that AI can launch attacks, which far outweighs previous cybercrime, AI assisted scams can process thousands of fraudulent transactions in the time it takes a person to process one. AI assisted attacks have sophisticated evasion tactics which can quickly learn the security measures you’ve put in place and outsmart them. Businesses need to be constantly updating and reviewing security protocols to ensure best practice is being maintained.Dynamic Business, 11d ago
...“Generative AI has ushered in excitement, creativity, and heightened investment, redefining the boundaries of what’s possible with AI-driven innovations. Combining analytical AI with the functionality of generative AI has companies dreaming of streamlined processes and customer-facing applications that will reduce the need to rely on humans and yet, early adopters of an ‘All AI’ customer service strategy are facing a degradation in service quality, not an improvement. With its ability to ‘hallucinate’ data, inherent biases from training, and the opaque nature of its decision-making, we tread on uncertain grounds. In the customer service industry, a training adage is “don’t practice on customers” referring to the concept of fully training an agent – and yet with AI we are allowing it to ‘practice’ with customers creating negative outcomes.insideBIGDATA, 23d ago
...“For example, those that believe AI in its current form is a standalone technology with the ability to work in place of human intelligence also tend to believe that it will de-skill or replace finance professionals. However, among the 29% of businesses that have already utilised AI within finance, 67% have recognised its value for data filtering and analysis, such as audit analytics and expense reports.fintechmagazine.com, 16d ago

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In the legal sphere, particularly in cases of complex digital advertising litigation involving AI, the interplay between AI and human expertise becomes pivotal. Expert witnesses play a crucial role in bridging the technical complexities of AI with the legal world, elucidating how AI functions, its limitations, and potential biases. They also emphasize the human element in AI, emphasizing the roles humans play in designing, training, and deploying AI algorithms. As AI's significance continues to grow in digital advertising, the synergy between AI and human intelligence will shape the future of the industry and its legal landscape.24-7 Press Release Newswire, 4d ago
Accelerated by millennial and Gen Z lifestyles and preferences and the pandemic lockdowns, consumers have doubled down on digital with 80% saying that they had increased the use of digital channels during the pandemic and 90% of digital novices saying they will remain digital, according to research surveys conducted by the likes of McKinsey and others. Moreover, today’s digital citizens want to go beyond simply checking their order status or reading FAQs to accomplishing more complex tasks such as digital form-filling and online troubleshooting. Where they are not able to self-serve, they are looking for answers through human-assisted digital channels such as live chat and messaging apps, where they often “live.” This would require manufacturers to go beyond the basics to provide service through touchpoints like AI-powered chatbots, messaging, live chat, cobrowsing, in-app service, pause-and-resume conversational service for long-lived resolution, and proactive notifications. Moreover, with knowledge and AI-guided conversations in the contact center, they can reduce the need for unwarranted “truck rolls” or field service visits, which put a big dent in operating performance.customerthink.com, 4d ago
Of course, you can’t spell “inevitable” without “A” and “I”, and that’s exactly what artificial intelligence has become. Each day it is becoming more impactful in both our personal and professional lives. In 2024 AI will continue expansion in the credit union industry through chatbots and other member service-focused features, allowing employees to concentrate on more complicated tasks. AI as a tool for sorting, analyzing, and interpreting data will help create a more accurate and seamless underwriting process. It will also be invaluable in terms of security as a countermeasure to increasingly sophisticated cyberthreats.CUInsight, 4d ago

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Until AI advances to the point where it can actually think for itself, understand, and exhibit something that more closely resembles human-like intelligence and common sense, it will remain a tool that can be used for good or bad, depending on the intentions of its human users or the unintended consequences of its design.RTInsights, 4d ago
The U.S. and China both realize the power of AI and how it can enhance capabilities, such as military capabilities. Yet, with such a technology comes the responsibility determine ethical frameworks, establish robust regulatory measures, and engage in international collaboration to ensure the judicious and ethical deployment of AI for the collective benefit of societies globally. The world has evolved, nations have continually competed, and militaries continue to search for the most robust capabilities. AI is not just a tool that simulates human intelligence but could potentially transform into a weapon system.Modern Diplomacy, 4d ago
...1, 2 months, a, ability, able, About, accelerating, access, accessible, accuracy, across, Act, Action, ADD, Added, Adding, addition, ADvantage, AI, AI applications, AI assistant, AI-Powered, All, also, Amazon, Amazon Aurora, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune, Amazon OpenSearch, Amazon OpenSearch Service, Amazon QuickSight, Amazon RDS, Amazon Redshift, Amazon S3, Amazon SageMaker, Amazon Web Services, among, amounts, an, analysis, Analysts, analytics, and, announced, another, any, APIs, Application, applications, apply, ARE, AREA, AS, ask, assist, Assistant, At, augmented, aurora, Author, authors, automatically, availability, available, AWS, aws re:Invent, Azure, BE, been, being, beneficial, better, between, beyond, BI, break, break down, bristol, broad, brought, build, Building, Built, business, business data, business intelligence, business needs, But, by, CAN, Can Get, can help, capabilities, capability, case, cases, Catalog, choice, clicks, Cloud, cloud data, 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performance, personalized, pioneer, pipelines, place, platform, plato, Plato Data Intelligence, PlatoData, Popular, portfolio, possibilities, possibility, PostgreSQL, Powered, Preview, price, Prior, privacy, proactively, produce, Production, productive, Programming, Programming tools, promotions, prompt, proven, provide, quality, quality data, query, quickly, quite, ran, range, RDS for MySQL, RE, read, real, real value, real-time, reasons, redis, reduce, relational, relational database, relational databases, relationship, Released, relevant, Relevant Information, remove, Requirements, requires, retail, retrieval, retrieve, return, Right, role, Run, s, SageMaker, same, Scalability, Scale, scales, scaling, scientists, sdks, Search, second, seconds, Secure, securely, see, seeing, selection, server, Serverless, Service, Services, set, Set Up, Share, silos, Simple, simplicity, single, small, small business, So, some, soon, sources, spanning, spans, specific, speed, Spoke, SQL, SQL server, Stage, storage, store, stored, stores, Stories, strong, success, suited, support, Supports, Take, take advantage, targets, tax, Technologies, Technology, tens, text, Than, that, that’s, The, The Future, their, There, there’s, These, they, think, this, this year, those, thousands, three, Through, throughout, time, times, titan, to, Today, together, told, tools, top, Transactions, Transform, tune, tuning, turn, two, types, Types Of Data, typically, understand, unique, unleash, Unlocking, up, up-to-date, upon, us, use, use case, Used, users, uses, using, value, variability, Various, Vast, ve, vector, View, vision, visual, VP, want, Warehouse, warehouses, was, way, ways, we, web, web services, week, WELL, went, What, When, where, Which?, while, WHO, Why, will, with, within, without, Woolworths, Work, worked, workflow, workflows, working, workloads, works, worry, write, writing, written, year, You, Your, your business, zephyrnet, zero...Zephyrnet, 4d ago
If the recent tussle over the firing and re-hiring of OpenAI CEO Sam Altman has taught us anything, it’s that there will always be an inherent tension between what AI promises – its inherent value – and the risks of a technology potentially “too disruptive for its own good”. Over the next year we can expect more OpenAI style fall-outs involving native AI companies, regulators, governments and other stakeholders as society grapples with the implications of what is essentially a live experiment. Companies engaging at any level with generative AI should expect and even encourage debate around how this dichotomy can be handled.Compare the Cloud, 5d ago
Human Oversight and Intervention: While AI can greatly enhance cybersecurity efforts, it's not a substitute for human expertise. Security teams should maintain an active role in monitoring and validating the decisions made by AI systems, as human intervention is essential in complex or novel situations. Additionally, security leaders must educate their teams on how to effectively use and understand AI systems to ensure that they are deployed correctly and that security teams can leverage the insights generated by these systems to make well-informed decisions.TechRadar, 5d ago
And these are technologies that were lauded as overwhelmingly positive, and considered at worst entirely benign. Are we better off as a world and as a society because of social media? In some ways, yes. In others, definitely not. The point isn’t to say “social media bad” or “social media good;” it is to say that there have been absolutely enormous, wide-reaching, and almost entirely unforeseen negative consequences from platforms that aimed to do nothing more than let you share your photos or short thoughts with an opting-in audience of friends and acquaintances. AI developers aim to create entities that possess superhuman intelligence and to remake just about every aspect of our lives, from how we work to how we communicate to how we live (and if we live).Ms. Magazine, 5d ago

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Currently, generative AI’s output is highly dependent on input expertise, which means prompt engineering is becoming an increasingly valuable skill. Generative AI output was likened to a couple of interns, the material it produces is not perfect straightaway but is very much workable to achieve the desired outcome. It was suggested that in the future it will be possible to buy and sell successful prompt inputs. Human expertise is vital at this stage, both as guardrails and for creative direction.Verdict, 5d ago
The crucial step is to translate the data in this knowledge base into numerical representations using an embedded language model. Then, a vector database with fast and effective search capabilities is used to store these numerical representations. As soon as the generative AI system prompts, this database makes it possible to retrieve the most pertinent contextual information quickly.MarkTechPost, 5d ago
...“Health systems face immense pressure daily and cannot afford to utilize technologies that are not effective from the outset,” said Michael Braginsky, CTO and co-founder of Aidoc. “The aiOS™ is designed precisely for the purpose of ensuring that cutting-edge technologies can be leveraged with minimal time from IT teams within a hospital enabling easy deployment. The goal is that with the combined power of Aidoc’s aiOS™ and our foundation model we will deliver a potent one-two punch intended to provide the optimal solution for scaling AI in healthcare.”...hitconsultant.net, 5d ago
...“However, while generative AI-powered LLMs are making life easier in numerous ways, we need to be acutely aware of their limitations. For a start, they’re not accurate: GPT-4 Turbo has the most up-to-date data since its inception, but still only contains world knowledge up to April 2023. These systems also hallucinate and have a clear tendency to deliver biased responses. The real concern with ChatGPT is the way these LLMs are presented. They give a ‘human-like’ interaction which inclines us to trust them more than we should. To stay safe navigating these models, we need to be much more skeptical with the data we are given. Employees need in-depth training to keep them up to date with the security risks posed by generative AI and also what its limitations are.”...TechRound, 5d ago
Savant provides a leading-edge cloud-native, no-code, low-code analytics automation platform that enables analysts to access, prepare, blend, and analyze data from over 200 modern data sources and deliver insights directly to 100+ modern applications and dashboards. With a choice of conversational GPT AI or drag-and-drop automation widgets, analysts in any business function can easily access, prep, transform data, create analytics logic and automate publishing insights. Even complex data tasks that otherwise necessitated expert analysts can now be achieved with prompts that leverage public or private LLMs. Further, Savant’s cloud-native architecture is purpose-built for today’s modern data sources and data-driven organizations, making it possible to scale to unlimited users, unlimited data processing, and unlimited analytic workflows at 50% lower TCO than traditional analytics automation solutions.MarTech Series, 5d ago
The growth of non-financial resources has also been tremendous. Today’s entrepreneurs have access to tools that yesterday’s crop could scarcely imagine. AI-infused assistants and software are streamlining the process of running a business and making it infinitely more palatable for people just getting started. Productivity is often significantly higher than in the past because machines and robots are doing a lot of planning for business leaders on their behalf, negating the need for assistants.Grit Daily News, 5d ago

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Artificial intelligence has revolutionized tourist decision-making by shifting the focus from price considerations to personalized alternatives. Tourists can now choose destinations, places, and activities that best suit their preferences, thanks to AI’s implementation of personalization techniques and recommender systems. These systems leverage the vast quantity of information available on the internet, including User-Generated Content (UGC), to provide more tailored and informed experiences. Travel assistants that leverage advancements in artificial intelligence, mobile devices, natural language processing, and speech recognition have become increasingly popular. These applications are designed to cater to user preferences, interests, and availability, offering on-demand or autonomous suggestions that proactively anticipate their needsvand they enhance the travel experience through personalized and intuitive assistance. These systems leverage the vast quantity of information available on the internet, including User-Generated Content (UGC), to provide more tailored and informed experiences. ServiceNow leverages generative AI to provide relevant, direct and conversational responses, seamlessly connecting interactions to digital workflows across the Now Platform. For example, when users inquire through Now Assist for Virtual Agent, generative AI quickly provides concise answers, supplying information such as internal codes for product and engineering teams, product media, document links, or relevant knowledge base article summaries. This ensures accurate conversations across departments and systems, improving productivity, boosting self-solve rates, and expediting issue resolution within ServiceNow. In today’s technology-driven era, the increasing AI footprint in the hospitality industry is a positive development.DATAQUEST, 5d ago
Generative AI chat applications have captured the public’s imagination and helped people understand what is possible, but there are still barriers that prevent people from using these solutions at work. Specifically, these chat applications do not know an organisation’s business, data, customers, operations, or employees. Additionally, these solutions were not initially built with the security and privacy features that organisations need for employees to safely use them in their day-to-day work. This has led to companies adding these features to their assistants after they were built, which does not work as well as incorporating security into the assistant’s fundamental design.technologymagazine.com, 5d ago
There have been great advances in AI technology in recent years, leading many companies to adopt the technology and many individuals to gain a better understanding of it. It is quickly becoming an essential tool in everyday life, as it is used for a range of activities that we may not even consider. Checking into a flight, conducting a Google search, or using cruise control all rely on AI. For companies, the use of AI technology can optimize operations through smart decision-making and automation. It minimizes human error and typically drives up efficiency. It’s for this reason that so many companies are investing in the technology.OilPrice.com, 5d ago

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Dhamani and Engler co-authored Introduction to Generative AI, to be published by Manning Publications. Introduction to Generative AI illustrates how LLMs could live up to their potential while building awareness of the limitations of these models. It also discusses the broader economic, legal, and ethical issues that surround them, as well as recommendations for responsible development and use, and paths forward.Tech Policy Press, 24d ago
...“It’s really important that we all stay aware of what the technology can do, because if we know what it can do, we’re more likely to be able to see past some of the stuff that’s being put out there,” she said. “If you’re not aware of deepfakes and you don’t know anything about it, then you’re not going to be able to say ‘hey, I wonder if that’s a deepfake.’ If you’re not aware of what image generators can do, then you’re not even going to question different media that you [find].”Thompson was also optimistic at the passage of A.B. 783 in October, which will establish media literacy curricula for K-12 in California, although its requirements will not be realized for some time.On the computer science side of GenAI, VCOE’s Director Technology Infrastructure Stephen Meier said part of demystifying the technology is understanding it as a tool, not an agent.“We have this idea that because we’ve abstracted the person out of the machine, that the machine, the AI, is now infallible. But we have to remember the machine was created by fallible creatures, and we can’t take the fallibility out of the machine,” he said. “The other part that goes along with that is, you have OpenAI, who is arguably driving the AI conversation … is now controlled by six people, or potentially now four people. That is something that really concerns me, as AI becomes pedagogical, wrapped up in what we’re teaching our students.”Meier said another risk with GenAI lies in the data it was trained on. He made an analogy with the MOVEit hack earlier this year, in which a foreign actor essentially poisoned a software company’s product and infected that company’s clients around the world by extension.“They’re already doing that today with data set poisoning,” he said. “If you find one of these AI companies that have these large training models, if you get a bad actor in there who poisons that data, you’re now getting bad results.”Looming questions aside, the panelists were broadly optimistic that the challenges of AI will be solved. Reina Bejerano, chief technology officer at Oxnard Union High School District, said parents seem to be receiving the evolution of AI fairly well. She likened it to social media — they don’t really know what Snapchat or TikTok are, but they know their kids use them, and they’re generally curious to learn more. She said her district had some success hosting parent nights with dinner and conversations about these emerging apps and tools.Bejerano cited Khanmigo, a custom tool that can adjust its answers to prompts if a student doesn’t understand them, as an example of one that already seems to be having a positive impact.“It really is giving students autonomy, it’s giving them that freedom to learn in their own way, and it’s allowing them to be vulnerable,” she said. “In my opinion, I’m seeing more engagement, and higher engagement, than I’ve seen before because students have this autonomy and they’re able to feel vulnerable, and then they end up learning more.”...GovTech, 5d ago
He also zoomed in on the India impact. Bindra argued that India 30 years from now would be exciting. “Will India be a superpower in the future- one needs a Nostradamus to tell that. But we would need a different model than what US and China have. India has managed to deliver technology to billions of people—the secret sauce of UPI, Aadhaar is that of digital goods. It has been done at scale. It has spurred start-ups. It has put subsidies and vaccines in the hands of the common man. Can we put generative AI also as a digital good? India LLM as part of India Stack would be great. Jan AI construct— that’s going to be something that can make us a superpower.”...DATAQUEST, 7d ago
...“We are living in a revolutionary era for technology with the proliferation of generative AI, yet the question remains whether AI will live up to the hype in terms of its value for businesses. According to this survey from Icertis, the resounding answer from forward-looking leaders is yes – and the profound effects of AI on the enterprise are imminent,” said Monish Darda, CTO and Co-founder, Icertis. “2024 will be pivotal to determine which use cases deliver tangible outcomes as companies tap into rich data pools that exist within their own organizations, enabling them to harness the full power of AI and bring it to life across critical functions like legal, finance, procurement, and ESG initiatives.”...insideBIGDATA, 17d ago
..."We are living in a revolutionary era for technology with the proliferation of generative AI, yet the question remains whether AI will live up to the hype in terms of its value for businesses. According to this survey from Icertis, the resounding answer from forward-looking leaders is yes – and the profound effects of AI on the enterprise are imminent," said Monish Darda, CTO and Co-founder, Icertis. "2024 will be pivotal to determine which use cases deliver tangible outcomes as companies tap into rich data pools that exist within their own organisations, enabling them to harness the full power of AI and bring it to life across critical functions like legal, finance, procurement, and ESG initiatives."...procurementmag.com, 24d ago
Moreover, builders who customize their GPTs have the option to determine whether user interactions can contribute to the broader improvement and training of AI models. This level of control is a critical component of OpenAI's commitment to user trust and transparency, reflecting the organization's dedication to not only advancing AI but also ensuring its ethical application. Through these meticulous safety protocols, OpenAI is shaping an AI future that is as safe as it is intelligent.unite.ai, 27d ago

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One such example is the winner of this edition’s prestigious WISE Prize for Education Safeena Husain, Founder and Board Member of Educate Girls. Thanks to a precision targeting method using AI, Husain and her organisation are able to target, in 5 years, the same number of out-of-school girls, which would otherwise require 45 years. AI has tremendous potential, and it could change the way we consume knowledge, but it is very important that such powerful technologies are harnessed in an ethical and righteous way as misuse of AI will have a catastrophic effect.The Peninsula Newspaper, 5d ago
Emergent AI technologies are raising ethical and political questions that cut to the heart of what it means to be a democratic citizen in the 21st century. However, the public conversation on AI has been dominated by tech industry leaders who insist that regulating AI is mostly a matter for technical experts. Furthermore, recurrent arguments for prioritizing technological innovation and pursuing global industry dominance have foreclosed wider debate and reinforced a laissez-faire approach to AI development in the U.S. Serious cross-sectoral dialogue and public mobilization are needed if we are to change course.harvard.edu, 5d ago
...‘Now and Then’ thus shows the potential of what AI can do in arts and how other artists could also come alive on tape. A new Elvis Presly song is possible. So is one by Michael Jackson. But we can do so much more. With enough creative human minds put to it, new genres of music can be birthed with the help of AI. The times are perfect for it. We are at a unique point in history where every trend from the past and present, exists together. Thus, a Beatles song in a style from over half a century tops the chart not just for its nostalgia but because it is a genuinely good song. Music, fashion, cinema, photography etc. – AI is helping past and present styles co-exist.Sify, 5d ago
...“The technology we used to develop this tool is already used quite commonly for medical imaging and so we are excited to apply the same technology to the complex features seen in SAR satellite images of the polar oceans," said Ben Evans of the British Antarctic Survey (BAS) AI Lab. "The method we used is as accurate as the other alternative iceberg-detection methods, and outperforms most, without the need for human input. This means it can be easily scaled up beyond our study area and even provide near real-time monitoring."...New Atlas, 5d ago
In that same September 2023 interview, Speeicher described AI as both a headwind and a tailwind – the tailwind being its ability to solve complex problems and deliver optimized solutions...The headwind is the energy consumption associated with large language models, and the frenzy of data center building that will need to happen to address the incredibly high demand associated with generative AI." He believes AI's benefits will outweigh the costs.Sustainable Tech Partner for Green IT Service Providers, 5d ago
Unlike conventional systems, in which data is centralised and exploited in a limited number of powerful servers, edge computing offers data storage and processing that is as close as possible to where the intelligence was produced, thereby reducing the circulation of large masses of information. While these connected objects are much less powerful than data centres, they are most importantly less costly and less energy-intensive. They of course cannot be used to train complex AI models, but they can run algorithms that are already operational.CNRS News, 5d ago

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Generative AI models have been a hot topic of discussion within the AI industry for a while. The recent success of 2D generative models has paved the way for the methods we use to create visual content today. Although the AI community has achieved remarkable success with 2D generative models, generating 3D content remains a major challenge for deep generative AI frameworks. This is especially true as the demand for 3D generated content reaches an all-time high, driven by a wide array of visual games, applications, virtual reality, and even cinema. It is worth noting that while there are 3D generative AI frameworks that deliver acceptable results for certain categories and tasks, they are unable to efficiently generate 3D objects. This shortfall can be attributed to the lack of extensive 3D data for training the frameworks. Recently, developers have proposed leveraging the guidance offered by pre-trained text-to-image AI generative models, an approach that has shown promising results.unite.ai, 18d ago
Senseforth is a revolutionary AI-powered platform developed to help organizations maximize customer experience. With Senseforth, can bridge the ever-growing customer experience gap and take control of customer satisfaction rates in a variety of ways. As experts in conversational intelligence, Senseforth offers solutions such as AI Virtual Assistants (text & voice), Speech Analytics, Semantic Search, and Agent Assist. These powerful tools make for an efficient way to manage customer interactions with one intuitive platform. Organizations utilizing these solutions are able to rapidly deploy Conversational AI so customers don’t need to wait for a human representative and build virtual assistant applications that can capture conversations in various formats including voice/speech or text. In addition, they are able to provide their customers with seamless chatbot experiences powered by Speech Analytics technology which enables machines to understand intent from natural language spoken by humans. Last but not least, Senseforth lends its advanced Semantic Search technology that enables brands to deliver faster meaningful results while keeping accuracy high even without user input of exact keywords. And Agent Assist helps agents handle challenging customer queries more efficiently as it continuously provides appropriate suggestions in real time based on past conversations with customers and agent knowledge base. At Senseforth, strive to ensure intelligent communication between organization and its customers while delivering premium solutions tailored exactly for specific needs. Take control of customer experience today – join us at Senseforth!...saasworthy.com, 12d ago
Amidst these discussions, I could not help but thinking of the results we had with the first HSG Grand Challenge: The EU A.I. Act 2023. This groundbreaking challenge gathered twelve teams, each comprising professionals spanning computer science, law, and social sciences. Their task was formidable: to scrutinize AI applications, ranging from healthcare to telecommunication, under the lens of the evolving AI Act. Teams examined whether specific technologies qualified as high-risk under the Act, assessing compliance with its mandates on human oversight, risk management, data transparency, and cybersecurity. The goal was not just to assess compliance but also to provide actionable insights for the technology companies in order to enhance their adherence to the Act.HSG - Uni SG, 14d ago