Researchers pinpoint the “neurons” in machine-learning systems that capture specific linguistic features during translation tasks.
Approach developed by MIT engineers surmounts longstanding problem of light scattering within biological tissue and other complex materials.
Machine-learning approach could help robots assemble cellphones and other small parts in a manufacturing line.
Soft, squishy device could potentially track ulcers, cancers, and other GI conditions over the long term.
MIT spinoff Raptor Maps uses machine-learning software to improve the maintenance of solar panels.
Algorithm could help autonomous underwater vehicles explore risky but scientifically-rewarding environments.
NASA’s OSIRIS-REx sample-return spacecraft, carrying MIT instrument, arrived at asteroid in December; now begins the science to select a sampling location.
An algorithm that teaches robot agents how to exchange advice to complete a task helps them learn faster.
Device made from flexible, inexpensive materials could power large-area electronics, wearables, medical devices, and more.