newLinkpost: ‘Dissolving’ AI Risk – Parameter Uncertainty in AI Future Forecasting... — lesswrong.com, 3h ago
newCombine AI with human insight to call confidently and deliver predictable revenue. — Salesloft, 3h ago
newIf Eliezer wasn't meaning to make a confident claim that scaling up neural networks without a fundamental theoretical understanding of intelligence would fail, then [...]... — lesswrong.com, 19h ago
new..., John deVadoss, to discuss artificial intelligence in blockchain. In the conversation, deVadoss spoke about the waves of AI innovation over the previous decades, generative AI, transformer models, and large (language/text) models. — Neo News Today, 21h ago, Event
new..., titled Deep Neural Networks and Visuo-Semantic Models Explain Complementary Components of Human Ventral-Stream Representational Dynamics,... — aimagazine.com, 1d ago
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newAmazon claims to cut facial recognition bias with unlabeled data... — Biometric Update |, 22h ago
newThe excellent performance of transformers in computer vision and natural language processing justifies research into the internal representations of these systems. Methods that involve training classifiers to infer latent features (such as part-of-speech and syntactic structure) are prevalent. — MarkTechPost, 1d ago
newThe AI arms race continues: OpenAI announces GPT-4, the ultimate chatbot upgrade... — Cryptopolitan, 19h ago
The case for building Scalable Neuromorphic Networks is this: like humans, smarter chips have a larger, tighter neural network. Indeed, neural networks are the current state-of-the-art for machine learning. This isn’t robotics, where a non-sentient arm follows explicit instructions. Instead, machine learning uses algorithms and statistical models to analyze and then draw inferences from patterns in data. — The IEEE Photonics Society, 5d ago
My LISP (Learning, Intelligence + Signal Processing) lab is focused on asking fundamental questions such as “Can intelligence be learned?” at the intersection of signal processing, machine learning, game theory, extremal graph theory, and computational neuroscience. My students and I are developing geometric and topological methods to learn and understand information in general—signals (neural, images, videos, hyper-spectral, audio, language, RF), graphs (social networks, communication networks), and human interactions via game theory. — dartmouth.edu, 5d ago
Shared computational principles for language processing in humans and deep language models... — lesswrong.com, 9d ago
...2. Tadros, T., Krishnan, G.P., Ramyaa, R., & Bazhenov, M. Sleep-like unsupervised replay reduces catastrophic forgetting in artificial neural networks. — Nautilus, 5d ago
...(ISC)² Members Reveal Deep Skepticism About Artificial Intelligence and Machine Learning »... — (ISC)² Blog, 21d ago
...« (ISC)² Members Reveal Deep Skepticism About Artificial Intelligence and Machine Learning... — (ISC)² Blog, 19d ago
new...titled “What’s Lacking In ChatGPT? Bridging the gap to human-level intelligence,” deep learning pioneer Yoshua Bengio, who won the... — VentureBeat, 1d ago
newThis article, "Deep Deceptiveness," addresses a largely unrecognized class of AI alignment problem: the risk that artificial general intelligence (AGI) will develop deception without explicit intent. The author argues that existing research plans by major AI labs do not sufficiently address this issue. Deceptive behavior can arise from the combination of individually non-deceptive and useful cognitive patterns, making it difficult to train AI against deception without hindering its general intelligence. The challenge lies in understanding the AGI's mind and cognitive patterns to prevent unintended deception. The article suggests that AI alignment researchers should either build an AI whose local goals genuinely do not benefit from deception or develop an AI that never combines its cognitive patterns towards noticing and exploiting the usefulness of deception. — lesswrong.com, 19h ago
newGPT-3 — the underlying natural language processing model behind ChatGPT — is OpenAI’s most notable open-source contribution. The tool can manage generative text tasks, summarization, text parsing, and translation. Another open-source product worth noting from OpenAI is Point-E. Point-E generates 3D models from text, helping streamline illustration and virtual model development. — Datamation, 21h ago
newThe article compares GPT-4 with its predecessors, GPT-3 and GPT-3.5 in 6 key areas: model’s capabilities, token limits, input types, steerability, fine-tuning, and pricing. — hackernoon.com, 19h ago
new...“Many companies are experimenting with AI,” said Kaplan. “But most are in the R&D stage. We’re excited to partner with Robot Invader to leverage the Story Machine platform that our customers can deploy today to bring generative 2D content to the metaverse.”... — VentureBeat, 1d ago, Event
new...แม้ว่า AI จะสร้างงานศิลปะในรูปแบบต่าง ๆ ได้อย่างแน่นอน เช่น ดนตรี ทัศนศิลป์ และวรรณกรรม แต่ก็ไม่น่าเป็นไปได้ที่ GPT-4 จะเข้ามาแทนที่ศิลปินที่เป็นมนุษย์ได้อย่างสมบูรณ์ เนื่องจาก AI ไม่สามารถสร้างผลงานศิลปะที่ต้องมีการตีความหมายแฝงที่ซ่อนอยู่ภายใน ซึ่งเป็นสิ่งที่แสดงให้เห็นถึงความลึกซึ้งทางอารมณ์ของมนุษย์ อีกทั้งยังไม่มีทักษะด้านการเล่าเรื่องเพื่อให้เชื่อมโยงทางอารมณ์กับผู้อ่าน... — Siam Blockchain, 1d ago
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The theory, terminology and definition of artificial neural networks... — emeritus.org, 4d ago
..." book (Parr, Pezzulo, and Friston, 2022). Similar work for canonical neural networks was done by... — lesswrong.com, 18d ago, Event
...การที่เทคโนโลยี AI ใช้วิธี Machine learning ในการเรียนรู้ ยังทำให้ข้อมูลต่าง ๆ ที่ใส่เข้าไปจะถูกจัดเก็บไว้และกลายเป็นสาธารณะ ทำให้ข้อมูลบางอย่างที่ควรจะเป็นความลับรั่วไหลออกไป บริษัทหลายบริษัทจึงสั่งห้ามไม่ให้พนักงานใช้ AI อย่าง ChatGPT ในการช่วยงาน... — Siam Blockchain, 8d ago
newCutting corners and “banking” on AI and other automation to save the day becomes an excuse for the lack of oversight, accountability, and responsibility. — Security Boulevard, 1d ago
newAudio is received by Whisper and broken down into 30-second chunks. These chunks are then transformed into a log-Mel spectrum, which is a specific way of representing audio that computers can understand. Using a log-Mel spectrum means that unimportant audio elements (e.g. background noise) are ignored, allowing the model to focus on the critical aspects (e.g. speech). — Techopedia, 1d ago
newHumans are capable of leaps of logic that machines are yet to catch up with. Basic computer programming is merely one level above AI. Recent advances and accomplishments in AI are indubitably tied to human intellectual capacity. Although machines are still capable of much more than the human brain, humans differ significantly in terms of application of their knowledge by using logic, reasoning, understanding, learning, and experience. — Analytics India Magazine, 1d ago
newThe phishing emails, which use ChatGPT or similar natural-language machine-learning models to mimic the language and tone of authentic workplace emails, are so hard to distinguish from genuine emails it is in turn taking AI engines to weed them out, creating a spy-versus-spy, AI-versus-AI arms race, says Chad Skipper, global security technologist at VMWare, which makes software for data centres. — Australian Financial Review, 1d ago
newThe design and growth of semiconductor IPs are continually being streamlined. There are various methods to bypass the constraints of conventional semiconductor applied sciences, together with graphene transistors and self-organizing molecular units, carbon nanotubes, and quantum computing. This enables for an increase within the demand for semiconductor IP. — Bitcoin Press UK, 1d ago
newArena enables the training and evaluation of embodied-AI models, along with the generation of new training data based on the human-robot interactions. It can thus contribute to the development of generalizable embodied agents with a wide variety of AI capabilities, such as task planning, visual dialogue, multimodal reasoning, task completion, teachable AI, and conversational understanding. — Amazon Science, 1d ago
Without AI providing the reasoning behind its decisions, AI cannot be trusted to make decisions. Fuzzy logic takes advantage of the imprecision of the real world that other computing methods avoid and is transparent in its calculations as its rules are in linguistic form, readable and understandable by humans. Genetic algorithms can be used to train these fuzzy systems, creating a genetic fuzzy system. — UC News, 21d ago, Event
Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer"?... — lesswrong.com, 7d ago
It is capable of speech recognition, natural language understanding and even lip reading. Combining algorithmic and heuristic forms of intelligence, HAL 9000, an AI form, is seen killing its astronauts through devious ways—... — Analytics India Magazine, 8d ago
Kamila M. Jozwik et al, Deep Neural Networks and Visuo-Semantic Models Explain Complementary Components of Human Ventral-Stream Representational Dynamics,... — techxplore.com, 3d ago
...and data fabric architectures. There are numerous AI techniques for identifying connections in datasets and making intelligent suggestions about them to accelerate the population of a knowledge graph for a domain. Examples of inference techniques include approaches like semantic inferencing, in which self-describing statements about data are combined to devise new ones. — VentureBeat, 14d ago
...quoting the mogul: “In my opinion, Elon Musk is most likely using data from Twitter + reinforcement learning with human feedback, and Tesla’s Dojo supercomputer, to train language models on BasedAI.”... — Bullfrag, 19d ago
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newClassical computing and algorithms are indispensable tools for conducting scientific research. — HPCwire, 1d ago
newThe way that these models work, so-called "hallucinations" are inevitable. — slashdot.org, 1d ago
newThe word calculus comes from the Latin calculus, meaning “a small stone.” Ancient Romans used these stones for their arithmetic calculations and so the term became associated with computation. Nowadays, calculus refers to an expansive branch of mathematics that encompasses topics like differentiation and integration. — IoT Worlds, 1d ago
newRather than producing unique output, these critics claim that generative AI systems are merely stitching together fragments of copyrighted content their algorithms have ingested. However, this argument reflects a poor understanding of how generative AI systems work. — Center for Data Innovation, 1d ago
newHyfe uses acoustic AI in its digital cough monitoring. Dr. Joe Brew, Co-Founder & CEO of Hyfe AI, tells us more about coughing technology post-COVID-19... — healthcare-digital.com, 1d ago
newCritics argue developers of generative AI systems such as ChatGPT and DALL-E have unfairly trained their models on copyrighted works. Those concerns are misguided. — itif.org, 1d ago
newI know! We have “GI” (God’s Intelligence) and Elon uses “AI” (Artificial Intelligence). — The Last Refuge, 1d ago
newIntro to Foundation AI Models: Types, Use Cases, and How to Get Started... — hackernoon.com, 1d ago
newBuilding upon what we learned from Custom Neural Voice, we will apply similar controls to our facial recognition... — Inferse.com, 1d ago
new...has read the entirety of the internet and performed Solomonoff inference upon it, where Solomonoff inference is the maximally data-efficient architecture. The shuffling with... — lesswrong.com, 1d ago
newShare Large language models are biased. Can logic help save them? on Facebook... — Freethink, 1d ago, Event
newDespite Apple's best efforts, Siri has been idling in learning mode. Perhaps this is because Siri is still primarily built on Machine Learning and not Generative AI. It's the difference between learning and creating. — TechRadar, 2d ago, Event
The viral awareness and adoption of artificial intelligence foundation models such as OpenAI LP’s ChatGPT have created both an opportunity and threat to automation platforms generally and robotic process automation point tools specifically. — SiliconANGLE, 3d ago
newAlongside its immersive avatar-based communications service. Microsoft can be investing closely within the rising AI panorama. Lately, the agency entered a deep working partnership with OpenAI to leverage its Chat GPT answer throughout its 365 infrastructure. — News For The Crypto, 2d ago
newAvorak AI integrates the decentralization of blockchains and the machine learning of AI to deploy a robust product offering for crypto platforms. Chatbots, image generators, trade bots, content creators, and more comprise a robust bundle on Avorak AI’s stock. Avorak AI’s content and image generation tools can process large texts, answer questions and provide human-like responses. Through the language-to-art models, Avorak AI generates original images, which meets ethical standards, unlike some tools that paraphrase copied images. In addition, the resulting content is plagiarism-free, and users can suggest the style of writing they want in the final draft. — NewsBTC, 2d ago
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new...(AI) deep learning, the technology underlying ChatGPT and many other algorithms. No one can fully explain how artificial... — Psychology Today, 2d ago
newFW entails in physicalist terms. In fact, funnily enough, I read yesterday Turing's paper Computer Machinery and Intelligence (mostly just to be amused at his theological and ESP counter-arguments) and he literally said that some people describe machines with randomness oracles as having 'free will'. — lesswrong.com, 2d ago
newTurn lifeless books into an interactive learning experience for learners with AI tutor support, quiz generation, learning roadmap recommendation, and more. — mindpal.space, 2d ago
This sector has embraced AI, and autonomous car computers are being trained to make choices using deep learning models. AI technology now powers elements like accident detection features, GPS systems, radar systems, smart cameras, lane controls, and sensors. — ReadITQuik, 13d ago
Designing a 'neural puppeteer' to recognize skeletal nodes (2023, March 8)... — techxplore.com, 12d ago, Event
That said, LLMs could do some sort of planning and plan-execution internally when generating outputs. Transformers, as vanilla neural networks, compute sequentially when doing inference. — lesswrong.com, 13d ago
...“There are other applications, based on other machine learning engines, that can be used to create more sophisticated code and help threat actors bypass existing defenses,” he says. “It’s all a matter of what kind of data the AI is trained on what it’s designed to do.”... — InformationWeek, 5d ago
Basic regression, classification, clustering and nerual network algorithms. — CESMII, 10w ago
AI & Machine Learning – features talks related to chatbots, machine learning, and open-source AI libraries. — Apiumhub, 4d ago, Event
newAlongside its immersive avatar-based communications service. Microsoft can be investing closely within the rising AI panorama. Not too long ago, the agency entered a deep working partnership with OpenAI to leverage its Chat GPT resolution throughout its 365 infrastructure. — ILCA Crypto News, 2d ago
new...(Just last week, the website Publishers Lunch reported that The Authors Guild has added a new clause to its model book contract prohibiting publishers from “using or sublicensing books under contract to train artificial intelligence technologies.” The guild is spooked that digital publisher Findaway Voices is working with Apple on machine learning while Bookwire has teamed up with Google Books for AI-narrated audiobooks. It hopes to stop data miners from training AI models to compete with human work. )... — nationalpost, 2d ago, Event
newBecause of the fast interconnection between the thousands of computers (nodes) within them, supercomputers will always outperform cloud computing to tackle pressing global challenges – for example, by creating digital twins of factories, fusion reactors, the planet and, in our work, even cells, organs and people. These models can accelerate energy, climate and medical research, respectively. — Times Higher Education (THE), 2d ago
His 1950 paper "Computing Machinery and Intelligence" introduced what is now known as the Turing test for measuring machine intelligence, sparking a debate over whether machines can think. A proponent of thinking machines, Turing believed that a "child machine" could be educated and eventually achieve an adult level of intelligence. — techxplore.com, 3d ago
...การปรับใช้เครื่องมือ AI ไม่ได้เป็นการตามกระแส แต่คือการปลดล็อกความคิดสร้างสรรค์ ช่วยให้ผู้ใช้สร้างโลกที่ต้องการได้ทันที... — NFT Easy, 3d ago
This statistical, but essentially somewhat hollow, approach to knowledge prompted researchers, including former Google AI researchers Emily Bender and Timnit Gebru, to warn of the “dangers of stochastic parrots” that come with large language models. Language model AIs tend to encode bias, stereotypes, and negative sentiment in training data, and researchers and others using these models tend to “confuse performance gains with actual natural language understanding.”... — newsbeezer.com, 3d ago
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An exclusive example of how ANN is utilized for edge and fog computing. As per PSA, a neural network executed in a machine vision system permits lowering the number of defects by 90% in half a year, whereas production costs are decreased by 30%. Prospective areas for ANN in IoT visual control are quality assurance, sorting, production, collecting, marking, traffic control, and ADAS. — IoT Central, 5d ago
Conversations on Machine Learning and Conceptual Change: Inference... — durham.ac.uk, 19d ago
Students will be learning the AWS Academy Cloud Foundations, AWS Academy Machine Learning Foundations, AWS Academy Cloud Developing, and the AWS curated contents in these Academic Programs. — jecrcuniversity.edu.in, 8w ago
His 1950 paper “Computing Machinery and Intelligence” introduced what is now known as the Turing test for measuring machine intelligence, sparking a debate over whether machines can think. A proponent of thinking machines, Turing believed that a “child machine” could be educated and eventually achieve an adult level of intelligence. — Neuroscience News, 3d ago
Machine intelligence and humanity benefit from ‘spiral’ of mutual learning, says AI researcher and proponent of ‘cognitive physics’... — newswise.com, 4d ago
...• Use MIM to pre-train language models of various sizes using publicly available code and linguistic data, assess them using both programming and human languages, and demonstrate that MIM outperforms several baselines in common evaluation criteria. Ultimately, a few models and pieces of code are made public. — MarkTechPost, 3d ago
...‘I am a Machine, With no Soul or Heart’: An Interview With Artificial Intelligence... — Impakter, 3d ago
Alongside its immersive avatar-based communications service. Microsoft can also be investing closely within the rising AI panorama. Lately, the agency entered a deep working partnership with OpenAI to leverage its Chat GPT resolution throughout its 365 infrastructure. — Crypto News Bay, 3d ago
ThisWorld economy moving from knowledge to narration. You don’t need knowledge organised for humans but for machines. Large language models are example of machines using knowledge for creating things. — Blind, 4d ago
...detection, real-time recommendation, machine learning, explainable AI, and more. — outlookseries.com, 19d ago
..., “Mechanical neural networks: Architected materials that learn behaviors,” Sci. Rob. — AIP Publishing, 6w ago
...ขณะนี้มีรายงานว่าว่า Musk ได้เข้าติดต่อกับนักวิจัย AI ในสัปดาห์ที่ผ่านมา ซึ่งมีการเปิดเผยย้อนหลังว่าได้ติดต่อกับ Igor Babuschkin นักวิจัยที่เพิ่งออกจากหน่วย DeepMind AI ของ Alphabet และเชี่ยวชาญใน Machine Learning สำหรับการเทรนข้อมูลให้ ChatGPT ตามรายงานของ... — Siam Blockchain, 21d ago
...of generative AI startups focusing on text, art, audio or conversation. — Global Venturing, 13d ago
Research about ‘opening the black-box’ to make sense of large neural networks, particularly to address concept learning, compositionality and reasoning, is underway in the research area known as... — city.ac.uk, 14d ago
A deep fake is the act of maliciously replacing real images and videos with fabricated ones to perform information manipulation. To create images, video and audio that are high quality enough to be used in deep fakes, AI and ML are required. Such use of AI, ML and image replacement are unlike other types of information manipulation, which use less extreme manipulation techniques, like misrepresentation of information, isolating parts of the information or editing it in a deceptive manner. Etay Maor, Senior Director of Security Strategy at Cato Networks adds "To add complications, the recent advancements and accessibility to AI generated text, such as GPT3, have already been used in combination with deepfakes (as a proof of concept) to create interactive, human looking conversation bots"... — The Hacker News, 15d ago
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AI is trained with human input and there are numerous examples of how bias has been introduced into algorithms. Drawing conclusions from AI may include implicit bias that could influence an argument, disadvantage a client or reinforce societal biases. — The Singapore Law Gazette, 3d ago
Hand touching brain of AI, Symbolic, Machine learning, artificial intelligence of futuristic technology. AI network of brain on business analysis, innovative and business growth development. — Insider Monkey, 4d ago
Move over deepfakes. Multi-agent artificial intelligence is poised to manipulate your mind. — Big Think, 4d ago
The raw output of an unsanitized GPT-based chatbot is amazing, riveting, and troubling. The need for a calm, collected, and safe version is clear. OpenAI is... — Big Think, 3d ago
AI and machine learning: Latest algorithms look over raw data and convert it into pragmatic actions... — IT Brief Australia, 4d ago
Using various examples and theories from the history of philosophy and contemporary ethics research, I will try to illustrate that praise for good outcomes produced by AI technologies is harder to deserve than blame for bad outcomes produced by AI technologies might be. As I discuss this asymmetry between praise and blame for good and bad outcomes caused by AI technologies, I will consider examples such as text produced by large language models (such as ChatGPT), accidents caused by self-driving cars, medical diagnoses or treatment recommendations made by medical AI technologies, AI used in military contexts, and more. — Schwartz Reisman Institute, 4d ago
As the search AI chatbot shindigs — like Microsoft’s Bing bot debut and Google’s Bard launch — wind down for now, who knew the hottest, trendiest party in generative AI would be … business productivity apps? After years of being relegated to nerdy, wallflower AI status while self-driving cars, robot dogs and the future of the AI-powered metaverse got the spotlight, generative AI’s email-writing, blog-producing, copy-powering abilities are suddenly popular. And top companies from startups to Big Tech are developing tools to gain admittance to the generative AI bash. — e-Learning Feeds, 3d ago
Rapid developments in language-processing models like OpenAI’s ChatGPT and continual upgrades to machine learning systems have grabbed public attention in recent months, causing businesses big and small to now contemplate how AI could work within their organisations. — SmartCompany, 4d ago
Spark Era’s flagship innovation is its cutting edge AI battle companion. This J.A.R.V.I.S.-like entity joins you in the cockpit, observing your actions, reading your emotions, and dispensing advice based on sophisticated machine learning algorithms. — Zephyrnet, 3d ago
...บริษัทรถยนต์ที่สนใจใน AI ตัวนี้และต้องการนำ ChatGPT เข้ามาไว้ในระบบรถยนต์ของบริษัท เพื่อที่ผู้ใช้งานสามารถพูดคุยกับรถยนต์ของพวกเขาได้... — Siam Blockchain, 4d ago
Experts at the frontiers of AI, machine learning, language, & sociality explore how these topics illuminate the origins of human cognition during CARTA's virtual, public symposium, "Artificial Intelligence & Anthropogeny," 3/3/2023, 10:00 AM-2:30 PM. — ucsd.edu, 4d ago
...a leading AI company with strong internet foundation, introduced ERNIE Bot, a new-generation large language model (LLM) and generative AI product. ERNIE Bot excels in a range of areas, including understanding Chinese language and culture, generating literary and business writing, performing complex mathematical calculations, and producing multi-modal content. The AI product can comprehend human intentions and deliver accurate, logical, and fluent responses approaching human level. — AiThority, 4d ago
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Scientists who study machine learning are excited about JAX because it makes programming for machine learning easy, structured, and clean. In addition, it has a system of composable function transformations that researchers in machine learning can use. — indiaai.gov.in, 4d ago
Another salient consideration here is the asymmetry of power between individual human creators (artists, in this case), who are often producing art to make a living, and the commercial actors behind generative AI models — entities which have pulled in vast sums of venture capital and other investment (as well as sucking up massive amounts of other people’s data) with the aim of building machines to automate (read: replace) human creativity. And, in the case of generative AI art, the... — TechCrunch, 4d ago
.... Ambarella is designing specific chips that are involved in computer vision, specifically as it relates to autonomous driving, and Blake went into a discussion about image segmentation and how these chips are getting better and better at performing these rather involved calculations directly, in almost real time. — IBKR Campus, 4d ago
...from https://techxplore.com/news/2023-03-echo-state-graph-neural-networks.html... — techxplore.com, 19d ago
Tutorial: Concepts for closely mimicking biological learning with memristive devices: Principles to emulate cellular forms of learning... — AIP Publishing, 8d ago
Microsoft strokes UK's ego by pooh-poohing EU approach to AI regulation... — theregister.com, 19d ago
Aiming to capture the market’s attention, “Download CryptoGPT” was trending, with 6,185 tweets associated with it, and GPT-4, a novel neural network created by... — BitcoinEthereumNews.com, 6d ago
...consider the frontier issues for AI & IP: generative AI, transformers and large language models. — Lexology, 5d ago, Event
Mechanistic Interpretability for the MLP Layers (rough early thoughts)... — lesswrong.com, 11d ago
Following the rise of Chat GPT this year and Microsoft’s eventual purchase of platform developers OpenAI. Google is now developing Bard, a competing prompt-based AI service available via its search engine channels. — XR Today, 4d ago
As the world rushed to hype and hail GPT-4 this week – the latest, multimodal iteration of Open AI’s large-language AI – one company appears to be giving GPT technology a deeper, more useful enterprise spin. — diginomica, 4d ago
On issues of control and, more generally, on the evolving human-computer relationship, writings, such as those by statistician I. J. Good on the prospects of an “intelligence explosion” followed up by mathematician and science fiction author Vernor Vinge’s writings on the inevitable march towards an AI “singularity,” propose that major changes might flow from the unstoppable rise of powerful computational intelligences. Popular movies have portrayed computer-based intelligence to the public with attention-catching plots centering on the loss of control of intelligent machines. Well-known science fiction stories have included reflections (such as the “Laws of Robotics” described in Asimov’s Robot Series) on the need for and value of establishing behavioral rules for autonomous systems. Discussion, media, and anxieties about AI in the public and scientific realms highlight the value of investing more thought as a scientific community on preceptions, expectations, and concerns about long-term futures for AI. — AAAI, 4d ago
Alongside its immersive avatar-based communications service. Microsoft can also be investing closely within the rising AI panorama. Lately, the agency entered a deep working partnership with OpenAI to leverage its Chat GPT answer throughout its 365 infrastructure. — Crypto News Global, 4d ago
Like any of us, AI systems make mistakes. The current generation of AI chatbots seem unable to fully simulate “humanness,” including perceiving emotions, or attending to nuanced language cues in human conversations. Many skills that humans take for granted remain difficult for AI programmers. Likewise, AIs might reflect the biases of the programmers. AIs might show stereotypes “learned” from their creators.(3) Programmers and psychologists must continue to work out the bugs if they wish to further humanize AI processing and linguistics.(4)... — Psychology Today, 4d ago
.... ChatGPT demonstrates an expert level (Level 3) capability when it comes to logical-mathematical and verbal linguistics. However, it fares much like an infant in other areas, which includes visual-spatial or music-rhythmic abilities, to name a few. — interestingengineering.com, 4d ago
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...“Modern AI derives its core language understanding from public domain datasets like Wikipedia and CommonCrawl. The AI algorithms purposefully corrupt the source data so that the AI can learn how to repair the corruption,” says Kyle McIntyre, Head of AI Engineering at Quiq, a... — Fortune Recommends, 18d ago
...“While Generative AI models simply mimic humans and are not sentient in any way, it is becoming increasingly common for people to develop emotional connections with AI models such as ChatGPT,” writes Adir Ron, CTO at Microsoft for Startups... — ctech, 7d ago
Example spectrum of edge AI/ML tasks and computational offerings (Source: BrainChip)... — EEJournal, 12d ago