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This AI research suggests a strategy to enhance the efficacy of imitation learning with limited human demonstration resources.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Robotics, Staff, Tech News, Technology, UncategorizedApril 22, 202438Views0Likes0Comments
The integration of robotics into automatic assembly procedures is highly valuable but has met with issues adapting to high-mix, low-volume manufacturing. Robotic learning which enables robots to acquire assembly skills through demonstrations, not scripted processes, offers a potential resolution to this problem. However, teaching robots to perform assembly tasks from raw sensor data presents a…

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MIT researchers employ AI to discover a potential new category of antibiotics.

Antibiotics, Artificial Intelligence, Biological engineering, Broad Institute, Drug discovery, Drug resistance, Institute for Medical Engineering and Science (IMES), Jameel Clinic, Machine learning, Research, School of Engineering, UncategorizedApril 22, 202432Views0Likes0Comments
MIT researchers have used a form of artificial intelligence called deep learning to identify a new classification of compounds that can effectively kill methicillin-resistant Staphylococcus aureus (MRSA), a drug-resistant bacterium accountable for over 10,000 deaths in the US each year. The researchers have demonstrated that these deep-learning-identified compounds not only have the ability to kill…

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Review of MIT’s Media Presence in 2023

academics, Administration, Alumni/ae, Artificial Intelligence, astronomy and planetary science, Boston and region, Cambridge, Climate change, Community, Computer science and technology, Diversity and inclusion, Education, Faculty, Global, Government, Health sciences and technology, Innovation and Entrepreneurship (I&E), MIT Schwarzman College of Computing, MIT Sloan School of Management, Policy, President Sally Kornbluth, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Social justice, Space, Staff, Students, teaching, UncategorizedApril 22, 202435Views0Likes0Comments

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Researchers from MIT are utilizing deep learning to gain a clearer understanding of the atmospheric layer nearest to the surface of the Earth, in order to enhance weather and drought forecasting.

AI Shorts, Applications, Artificial Intelligence, Deep Learning, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 22, 202440Views0Likes0Comments
Researchers at Massachusetts Institute of Technology (MIT) are seeking to leverage deep learning technology to provide a more detailed and accurate understanding of Earth's planetary boundary layer (PBL). The definition and structure of the PBL are pivotal to improving weather forecasting, climate projections, and issues such as drought conditions. The PBL is the lowest part of…

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Revealing Difficulties in Language Model Efficiency: An Examination of Saturation and Representation Deterioration

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 22, 202436Views0Likes0Comments
Language models (LMs) such as BERT or GPT-2 are faced with challenges in self-supervised learning due to a phenomenon referred to as representation degeneration. These models work by training neural networks using token sequences to generate contextual representations, with a language modeling head, often a linear layer with variable parameters, producing next-token distributions of probability.…

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An adaptable approach to assist animators in enhancing their artistry.

Algorithms, Artificial Intelligence, Arts, Augmented and virtual reality, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Mathematics, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, UncategorizedApril 22, 202436Views0Likes0Comments
Researchers at MIT have introduced a new technique for artists that could revolutionise the way animated characters are brought to life in movies and games. The technique is based on barycentric coordinates, a mathematical function that defines how 2D and 3D shapes can move and bend. This is a significant advance on existing techniques which…

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MIT scientists employ Artificial Intelligence to uncover a fresh category of potential antibiotics.

Antibiotics, Artificial Intelligence, Biological engineering, Broad Institute, Drug discovery, Drug resistance, Institute for Medical Engineering and Science (IMES), Jameel Clinic, Machine learning, Research, School of Engineering, UncategorizedApril 22, 202432Views0Likes0Comments
MIT researchers have utilized deep learning, a form of artificial intelligence, to discover a series of compounds capable of killing a drug-resistant bacterium responsible for over 10,000 deaths in the United States annually. The research, published in Nature, demonstrates these compounds can kill methicillin-resistant Staphylococcus aureus (MRSA) in lab dishes and two mouse models. Apart…

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Review of MIT’s Media Presence in 2023

academics, Administration, Alumni/ae, Artificial Intelligence, astronomy and planetary science, Boston and region, Cambridge, Climate change, Community, Computer science and technology, Diversity and inclusion, Education, Faculty, Global, Government, Health sciences and technology, Innovation and Entrepreneurship (I&E), MIT Schwarzman College of Computing, MIT Sloan School of Management, Policy, President Sally Kornbluth, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Social justice, Space, Staff, Students, teaching, UncategorizedApril 22, 202442Views0Likes0Comments
MIT had a remarkable year in 2023, achieving progress on several fronts from scientific discoveries to spearheading community initiatives. Among the notable events were the inauguration of MIT President Sally Kornbluth, the Commencement address by Mark Rober, and Professor Moungi Bawendi receiving the Nobel Prize in Chemistry for his research on quantum dots. The institution made…

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Scientists at Carnegie Mellon University unveil TriForce: A layered guess-based AI system capable of expanding to long sequence creation.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 21, 202432Views0Likes0Comments
Due to the need for long-sequence support in large language models (LLMs), a solution to the problematic key-value (KV) cache bottleneck needs addressing. LLMs like GPT-4, Gemini, and LWM are becoming increasingly prominent in apps such as chatbots and financial analysis, but the substantial memory footprint of the KV cache and their auto-regressive nature make…

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The AI Safety Working Group from MLCommons has introduced version 0.5 of an innovative AI Safety Benchmark in their latest AI publication.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 21, 202438Views0Likes0Comments
MLCommons, a joint venture of industry and academia, has built a collaborative platform to improve AI safety, efficiency, and accountability. The MLCommons AI Safety Working Group established in late 2023 focuses on creating benchmarks for evaluating AI safety, tracking its progress, and encouraging safety enhancements. Its members, with diverse expertise in technical AI, policy, and…

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Comprehending Causal AI: Building a Link between Correlation and Causation

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 21, 202439Views0Likes0Comments
Artificial Intelligence (AI) has conventionally been spearheaded by statistical learning methods that are excellent at uncovering patterns from sizeable datasets. However, these tend to uncover correlations rather than causations, a differentiator that is of immense importance given correlation does not infer causation. Causal AI is an emerging, transformative approach that strives to comprehend the 'why'…

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