machine learning
machine learning

machine learning

Artificial Intelligence Biological engineering Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Covid-19 Electrical Engineering & Computer Science (eecs) Immunology machine learning Medicine MIT Schwarzman College of Computing Pandemic Research School of Engineering Technology and society Vaccines Viruses

Creating a versatile vaccine to take on Covid-19 in its many guises

Aided by machine learning, scientists are working to develop a vaccine that would be effective against all SARS-CoV-2 strains.

Artificial Intelligence Brain and cognitive sciences Center for Brains Minds and Machines Computer science and technology machine learning McGovern Institute Natural language processing Research School of Science

New insights into training dynamics of deep classifiers

MIT researchers uncover the structural properties and dynamics of deep classifiers, offering novel explanations for optimization, generalization, and approximation in deep networks.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing Natural language processing Research School of Engineering

Large language models are biased. Can logic help save them?

MIT researchers trained logic-aware language models to reduce harmful stereotypes like gender and racial biases.

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Robot armies duke it out in Battlecode’s epic on-screen battles

The long-running programming competition encourages skills and friendships that last a lifetime.

Algorithms Artificial Intelligence Biology Brain and cognitive sciences Chemical engineering Collaboration Computer Science and Artificial Intelligence Laboratory (CSAIL) Drug development Electrical Engineering & Computer Science (eecs) Industry Institute for Medical Engineering and Science (IMES) machine learning Mechanical engineering Medicine MIT Schwarzman College of Computing MIT Sloan School of Management Pharmaceuticals School of Engineering School of Science

MIT-Takeda Program heads into fourth year with crop of 10 new projects

The program leverages MIT’s research expertise and Takeda’s industrial know-how for research in artificial intelligence and medicine.

Algorithms Artificial Intelligence Data Electrical Engineering & Computer Science (eecs) Human-computer interaction machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research Research Laboratory of Electronics School of Engineering

Efficient technique improves machine-learning models’ reliability

The method enables a model to determine its confidence in a prediction, while using no additional data and far fewer computing resources than other methods.

Alumni/ae Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Data Electrical Engineering & Computer Science (eecs) Health Care Innovation and Entrepreneurship (I&E) machine learning School of Engineering Startups

Helping companies deploy AI models more responsibly

MIT spinout Verta offers tools to help companies introduce, monitor, and manage machine-learning models safely and at scale.