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The team from MIT publishes research reports on the management of AI.

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 9, 202444Views0Likes0Comments
A committee of leaders and scholars from MIT has developed a policy framework for the governance of artificial intelligence (AI) in the United States. The aim of these policy briefs is to enhance U.S. leadership in AI and limit the potential harm from new technologies while promoting awareness of the societal benefits of AI deployment. The…

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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 9, 202440Views0Likes0Comments
Mathematician Justin Solomon is using modern geometric techniques to solve complex problems, often unrelated to shapes. He explains that geometric tools can be used to compare datasets, providing insight into the performance of machine-learning models. He asserted the significance of distance, similarity, curvature, and shape, all derived from geometry, in discussing data. His Geometric Data…

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Narrowing the disconnect between design and production in the field 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 9, 202445Views0Likes0Comments
Photolithography is an important process in the manufacture of computer chips and optical devices like lenses, using light to carve precise features onto a surface. However, minor deviations during the manufacturing process can lead to these devices underperforming when compared to the original designs. To address this issue, researchers from MIT and the Chinese University…

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Deep neural networks demonstrate potential as frameworks for understanding human auditory perception.

Artificial Intelligence, Brain and cognitive sciences, Hearing, Machine learning, McGovern Institute, National Institutes of Health (NIH), Research, School of Science, UncategorizedApril 9, 202438Views0Likes0Comments
An MIT study has taken a significant step towards the development of computational models capable of mimicking the structure and function of the human auditory system. The models could have applications in the production of improved hearing aids, cochlear implants, and brain-machine interfaces. The researchers discovered that modern machine learning-derived computational models are progressing towards…

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Obtaining hydrogen from stones.

Alternative energy, Artificial Intelligence, Climate change, Department of Energy (DoE), DMSE, Energy, Faculty, Funding, Geology, Grants, Mechanical engineering, Renewable energy, Robotics, School of Engineering, Sustainability, UncategorizedApril 9, 202444Views0Likes0Comments
Hydrogen, one of the most abundant elements in the Universe, mainly exists alongside other elements. However, the discovery of naturally occurring underground pockets of pure hydrogen is increasingly attracting attention as an unlimited source of carbon-free energy. In fact, the US Department of Energy recently awarded $20 million in research grants to 18 teams to…

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The book summarization capabilities of Claude 3 Opus surpasses all LLMs.

Industry, LLMS, UncategorizedApril 9, 202436Views0Likes0Comments
A collective team of researchers from the University of Massachusetts Amherst, Adobe, Princeton University, and the Allen Institute for AI have carried out a study to ascertain the accuracy and quality of summaries produced by Large Language Models (LLMs) when summarizing book-length narratives. The purpose of this research was to observe how well AI models…

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Leading AI Resources for Developing Your Extensive Language Model (LLM) Applications

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 9, 202439Views0Likes0Comments
Developers and data scientists who use Large Language Models (LLMs) such as GPT-4 to leverage their AI capabilities often need tools to help navigate the complex processes involved. A selection of these crucial tools are highlighted here. Hugging Face extends beyond its AI platform to offer a comprehensive ecosystem for hosting AI models, sharing datasets,…

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Scientists at Tsinghua University have suggested a new Artificial Intelligence structure called SPMamba. This architecture, which is deeply grounded on state-space models, aims to improve audio clarity in environments with multiple speakers.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Sound, Staff, Tech News, Technology, UncategorizedApril 9, 202438Views0Likes0Comments
In the field of audio processing, the ability to separate overlapping speech signals amidst noise is a challenging task. Previous approaches, such as Convolutional Neural Networks (CNNs) and Transformer models, while groundbreaking, have faced limitations when processing long-sequence audio. CNNs, for instance, are constrained by their local receptive capabilities while Transformers, though skillful at modeling…

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