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Researchers from Berkeley have developed an AI prediction system that surpasses human performance.

Industry, Machine learning, UncategorizedApril 4, 202440Views0Likes0Comments
Researchers at the University of Berkeley have developed an AI prediction system that harnesses Generative Pretrained Transformer (GPT-4) to forecast future events as accurately as the collective prediction of a group of humans, also known as the 'wisdom of the crowd'. The AI system built upon the model uses a method called retrieval-augmented reasoning, which…

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DiJiang: An Innovative Method for Frequency Domain Kernelization Developed to Solve the Computational Inefficiencies Typically Present in Conventional Transformer Models

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 4, 202440Views0Likes0Comments
Natural Language Processing (NLP) has transformed with the advent of Transformer models. The document generation and summarization, machine translation, and speech recognition abilities of Transformers have exhibited significant progress. Their dominance is specifically seen in large language models (LLMs) that deal with more complex tasks through upscaling transformer architecture. However, the growth of the Transformer…

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Interested in Programming with GPT-4? Introducing Cursor: A Code Editor/IDE Enhanced by AI, Constructed to Expedite Software Development for Programmers.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 4, 202439Views0Likes0Comments
Software development can be a complex process, with developers often having to spend a great deal of time on tasks such as navigating through codebases, debugging and making modifications. Although existing tools and Integrated Development Environments (IDEs) provide some assistance, these may not suffice for more intricate projects. They often offer features like code completion,…

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AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 4, 202442Views0Likes0Comments
Artificial intelligence (AI) is advancing at a rapid pace, with breakthroughs in natural language processing (NLP) seen in virtual assistants and language models. However, as these systems become more sophisticated, they also become harder to understand, a concern in critical sectors such as healthcare, finance, and criminal justice. Researchers from Imperial College London have now…

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Introducing Taylor AI, a start-up venture backed by YC that employs its API in massive text categorization, and offers more affordable rates than an LLM.

AI Shorts, AI Startups, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 4, 202433Views0Likes0Comments
Companies are now grappling with a flood of text data—including user-generated content and chat logs—which poses significant challenges for storage, organization, and analysis. Traditional methods of handling such data, often relying on large language models (LLMs), can be time-consuming, expensive, and prone to error. Furthermore, LLMs often prove unsatisfactory when dealing with "creative" labels that…

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Stability AI Unveils Stable Audio 2.0: Providing Artists with Advanced Audio Instruments

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 4, 202442Views0Likes0Comments
Stability AI, a leader in the AI sector, has announced the release of Stable Audio 2.0, an innovative model that enhances and introduces new features from its predecessor version. The model significantly augments creative possibilities for artists and musicians globally. At the core of Stable Audio 2.0 is its unique ability to generate full-length tracks…

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An automated platform instructs users on the appropriate timing for partnership with an AI assistant.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Health care, Human-computer interaction, IDSS, Institute for Medical Engineering and Science (IMES), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedApril 4, 202445Views0Likes0Comments
Researchers at MIT and the MIT-IBM Watson AI Lab have outlined an onboarding process, which includes training for users of artificial intelligence (AI) tools to better comprehend and utilise them. With a 5% accuracy improvement, the system setup enables a user to discern when to collaborate with AI by providing a personalised training programme. The AI…

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The team from MIT has published research papers on the management of artificial intelligence.

Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Government, Machine learning, MIT Schwarzman College of Computing, Policy, School of Engineering, Technology and society, UncategorizedApril 4, 202439Views0Likes0Comments
Leaders and scholars from MIT have released a series of policy papers proposing a framework for U.S. governance of artificial intelligence (AI), seeking to extend existing regulatory and liability approaches. The primary aim is to support and enhance American leadership in the evolving AI namespace while minimizing the potential risks and harms associated with the…

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A computer scientist is pushing the limits in the field of geometry.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, MIT Schwarzman College of Computing, Profile, School of Engineering, UncategorizedApril 4, 202440Views0Likes0Comments
Justin Solomon, an Associate Professor in the MIT Department of Electrical Engineering and Computer Science, is revolutionizing geometry by applying it to myriad cutting-edge fields including machine learning, computer graphics, and artificial intelligence (AI). Drawing on the ancient geometric principles of Greek mathematician Euclid, Solomon explores how geometric structures could be used to understand and…

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A computer scientist is expanding the limits of geometry.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, MIT Schwarzman College of Computing, Profile, School of Engineering, UncategorizedApril 4, 202439Views0Likes0Comments
More than two millennia ago, Greek mathematician Euclid, seen by many as the originator of geometry, significantly influenced our comprehension of shapes. Fast forward to today, Justin Solomon, using advanced geometric techniques, is resolving challenging issues that appear unrelated to shapes on the surface. Solomon, an associate professor in the MIT Department of Electrical Engineering…

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Bridging the gap between design and production for optical instruments.

Artificial Intelligence, Biological engineering, Computer science and technology, Electronics, Machine learning, Mechanical engineering, MIT Schwarzman College of Computing, MIT.nano, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedApril 4, 202443Views0Likes0Comments
Researchers at Massachusetts Institute of Technology (MIT) and Chinese University of Hong Kong have invented a machine learning-based digital simulator to shrink the gap between design intention and actual manufacturing of computer chips and optical devices. The process of photolithography used in creating such devices often leads to tiny deviations between theoretical design and practical…

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Narrowing the divide between designing and manufacturing of optical devices.

Artificial Intelligence, Biological engineering, Computer science and technology, Electronics, Machine learning, Mechanical engineering, MIT Schwarzman College of Computing, MIT.nano, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedApril 4, 202439Views0Likes0Comments
Photolithography, a technique for fabricating computer chips and optical devices, frequently encounters problems due to minute deviations during the manufacturing process. To address this, scientists from MIT and the Chinese University of Hong Kong have successfully used machine learning to build a digital simulator that effectively mimics certain photolithography manufacturing processes. The simulator, which utilizes…

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