Faster drug discovery through machine learning
New technique speeds up calculations of drug molecules’ binding affinity to proteins.
New technique speeds up calculations of drug molecules’ binding affinity to proteins.
Associate professor of physics shares the honor with colleague Phillip Mocz for their novel dark matter research.
MIT EAPS researchers find the impressive mountain range formed over a series of impacts, not a single event, as previously thought.
Animators spend hours adding textures to objects. A new machine-learning system simplifies the process.
MIT is among nine universities selected as part of a program sponsored by the DoE to support science-based modeling and simulation and exascale computing technologies.
Results might provide a convenient screening tool for people who may not suspect they are infected.
Researchers urge a holistic approach to forecasting the virus’ impact on public health and the economy.
Funds will support research on glaucoma through retinal biometrics and neural cell implantation therapy for spinal cord injury.
Study suggests sea ice blocks the flow of carbon both into and out of the ocean, in roughly equal measure.
National Science Foundation awards proposal for space weather modeling.
A well-known protein family binds to many more RNA sequences than previously thought in order to help neurons grow.
Jacqueline Thomas PhD ’20 recounts her final academic year at MIT, from once-in-a-lifetime field work to a virtual thesis defense.
Research suggests glacial melting might explain the recent decadal cooling and sea ice expansion across Antarctica's Southern Ocean.
“Data scientists and visualization designers need to take their civic role very seriously in a pandemic,” says the MIT assistant professor.
Consortium includes industry, government, and academic institutions.