Learning to grow machine-learning models
New LiGO technique accelerates training of large machine-learning models, reducing the monetary and environmental cost of developing AI applications.
Detailed images from space offer clearer picture of drought effects on plants
J-WAFS researchers are using remote sensing observations to build high-resolution systems to monitor drought.
Peter Baddoo, Department of Mathematics instructor, dies at 29
Baddoo was a respected and admired scholar, teacher, mentor, and colleague.
Mining the right transition metals in a vast chemical space
Computational chemists design better ways of discovering and designing materials for energy applications.
New method accelerates data retrieval in huge databases
Researchers used machine learning to build faster and more efficient hash functions, which are a key component of databases.
MIT professor to Congress: “We are at an inflection point” with AI
Aleksander Mądry urges lawmakers to ask rigorous questions about how AI tools are being used by corporations.
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.
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.
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.
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.
Phiala Shanahan is seeking fundamental answers about our physical world
With supercomputers and machine learning, the physicist aims to illuminate the structure of everyday particles and uncover signs of dark matter.
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.
Improving the speed and safety of airport security screening
Lincoln Laboratory seeks ways to build non-contact screening methods that can detect concealed explosives at airports.
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.
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.