New system dramatically speeds the search for polymer materials
The platform identifies, mixes, and tests up to 700 new polymer blends a day for applications like protein stabilization, battery electrolytes, or drug-delivery materials.
The platform identifies, mixes, and tests up to 700 new polymer blends a day for applications like protein stabilization, battery electrolytes, or drug-delivery materials.
The Lemelson-MIT program challenges student teams across the country to solve problems in their communities — and present their inventions at MIT.
Neural Jacobian Fields, developed by MIT CSAIL researchers, can learn to control any robot from a single camera, without any other sensors.
Combining powerful imaging, perturbational screening, and machine learning, researchers uncover new human host factors that alter Ebola’s ability to infect.
An oft-ignored effect can be used to probe an important property of semiconductors, a new study finds.
Longtime MIT solid-state physicist brought theoretical insights to an experiment-driven discipline — and later, to film.
The mechanical system could be used to deliver drugs in the GI tract or monitor aquatic environments.
MIT researchers found that special kinds of neural networks, called encoders or “tokenizers,” can do much more than previously realized.
Language models follow changing situations using clever arithmetic, instead of sequential tracking. By controlling when these approaches are used, engineers could improve the systems’ capabilities.
The Fairbairn Menstruation Science Fund will allow researchers to accelerate the understanding and treatment of often-neglected diseases that tend to be more common in women.
The simulations matched results from an underground lab experiment in Switzerland, suggesting modeling could be used to validate the safety of nuclear disposal sites.
The star pitcher has been studying aerospace engineering at MIT. Now his pitches, and career, will take flight in professional baseball.
MIT engineers designed a versatile interface that allows users to teach robots new skills in intuitive ways.
The CodeSteer system could boost large language models’ accuracy when solving complex problems, such as scheduling shipments in a supply chain.
A team of researchers has mapped the challenges of AI in software development, and outlined a research agenda to move the field forward.