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MIT researchers employ Artificial Intelligence to discover 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 28, 2024197Views0Likes0Comments
At MIT, a team of researchers is utilizing deep learning—a type of artificial intelligence—to discover new, potentially life-saving antibiotics. Their focus is on combating one of the world's deadliest drug-resistant bacterium: methicillin-resistant Staphylococcus aureus (MRSA), which takes over 10,000 lives in America annually. Published in Nature, MIT's study reveals that a new class of compounds, identified…

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Review of MIT’s Media Coverage 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 28, 2024222Views0Likes0Comments
In 2023, MIT shone in the realm of science, technology, education and community service. The year saw Sally Kornbluth’s inauguration as President and Mark Rober’s inspiring commencement speech. Nobel laureate Moungi Bawendi’s cutting-edge work in quantum dots and partnerships with Steve Hartman brought the science of kindness to the limelight. A variety of advancements, in…

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The brain’s language network has to exert more effort when dealing with complex and unfamiliar sentences.

Artificial Intelligence, Brain and cognitive sciences, Computer science and technology, Language, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Neuroscience, Research, School of Engineering, School of Science, UncategorizedApril 28, 2024189Views0Likes0Comments
MIT neuroscientists have used an artificial language network to determine the type of sentences that stimulate the brain's key language-processing centers most. The research revealed that complex sentences, whether due to unusual grammar or unexpected meaning, generated stronger responses in these centers. Straightforward sentences barely engaged these regions and nonsensical sequences of words yielded little…

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FlashSpeech: An Innovative Speech Generation System that Drastically Cuts Down on Computational Expenses while Preserving Superior Speech Output Quality

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 28, 2024151Views0Likes0Comments
The field of speech synthesis has seen a significant transformation in recent years with the advent of large-scale generative models. This has led to substantial advancements in zero-shot speech synthesis systems such as text-to-speech (TTS), voice conversion (VC), and editing. The objective of these systems is to generate speech by incorporating unseen speaker characteristics from…

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Improving Time Series Predictions: The Influence of Bi-Mamba4TS’s Bidirectional State Space Modeling on the Accuracy of Long-Term Forecasts

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedApril 28, 2024200Views0Likes0Comments
Time series forecasting is a crucial tool leveraged by numerous industries, including meteorology, finance, and energy management. As organizations today strive towards precision in forecasting future trends and patterns, time series forecasting has emerged as a game-changer. It not only refines decision-making processes but also helps optimize resource allocation over extended periods. However, making accurate…

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Representative Ability of Transformer Language Models Compared to n-gram Language Models: Harnessing the Parallel Processing Potential of n-gram Models

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 28, 2024154Views0Likes0Comments
Neural language models (LMs), particularly those based on transformer architecture, have gained prominence due to their theoretical basis and their impact on various Natural Language Processing (NLP) tasks. These models are often evaluated within the context of binary language recognition, but this approach may create a disconnect between a language model as a distribution over…

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A versatile approach to assist animators in enhancing their creations.

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 28, 2024195Views0Likes0Comments
A team of MIT researchers has developed a new technique that gives animators greater control over their creations in video games and animated films. Their method uses mathematical functions known as barycentric coordinates, which determine how 2D and 3D shapes can bend, stretch, and move within a given space. This offers a significant improvement to…

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MIT researchers utilize Artificial Intelligence to discover a new 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 28, 2024191Views0Likes0Comments
Utilizing deep learning, researchers from the Massachusetts Institute of Technology (MIT) have identified a new class of compounds that effectively kill methicillin-resistant Staphylococcus aureus (MRSA), a drug-resistant bacterium responsible for over 10,000 deaths each year in the United States. The compounds have been found to have low toxicity against human cells, a key characteristic for…

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Media Coverage of MIT: A Recap of 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 28, 2024190Views0Likes0Comments
Throughout 2023, MIT experienced a number of breakthroughs, key advancements, and noteworthy events, all featuring in the headlines. At the beginning of the year, President Sally Kornbluth’s inauguration and Mark Rober’s commencement address marked significant moments. Moreover, Professor Moungi Bawendi was awarded the Nobel Prize in Chemistry. Throughout the year, researchers at MIT made significant…

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The language network of the brain exerts more effort when dealing with intricate and unfamiliar sentences.

Artificial Intelligence, Brain and cognitive sciences, Computer science and technology, Language, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Neuroscience, Research, School of Engineering, School of Science, UncategorizedApril 28, 2024184Views0Likes0Comments
MIT neuroscientists discovered that sentences that are more complex, either because of unusual grammar or unexpected meaning, generate stronger responses in the brain's key language processing centers. This discovery was made possible with the help of an artificial language network. Conversely, straightforward sentences barely engaged these centers, and nonsensical sequences of words produced minimal responses.…

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Improving Biomedical Named Entity Recognition through Dynamic Definition Augmentation: A Unique AI Method to Enhance Precision in Large Language Models

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 27, 2024197Views0Likes0Comments
The practice of biomedical research extensively depends on the accurate identification and classification of specialized terms from a vast array of textual data. This process, termed Named Entity Recognition (NER), is crucial for organizing and utilizing information found within medical literature. The proficient extraction of these entities from texts assists researchers and healthcare professionals in…

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Scientists at DeepMind have proposed an innovative self-training machine learning technique known as Naturalized Execution Tuning (NExT). It significantly enhances the ability of Language Models (LLMs) to infer about program execution.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedApril 27, 2024168Views0Likes0Comments
Coding execution is a crucial skill for developers and is often a struggle for existing large language models in AI software development. A team from Google DeepMind, Yale University, and the University of Illinois has proposed a novel approach to enhancing the ability of these models to reason about code execution. The method, called "Naturalized…

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