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Analog deep learning processor powered by ultra-fast protonics.
Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.
2022 Searle Scholar — Robert Yang
Assistant Professor Robert Yang, computational neuroscientist, recognized for innovative research contributions.
Intersensory data representations of a black hole
Dr. Kyle Keane from the MIT Quest for Intelligence helps scientists tune into new ways of perceiving and communicating…
An optimized solution for face recognition
When artificial intelligence is tasked with visually identifying objects and faces, it assigns specific components of…
Helping severely motor-impaired individuals communicate more easily
Researchers at MIT and elsewhere are developing a system that enables severely motor-impaired individuals who…
Training robots to manipulate soft and deformable objects
A new simulation environment, PlasticineLab, is designed to make robot learning more intuitive. Tasks like the ones…
Undergraduates explore practical applications of artificial intelligence
SuperUROP scholars apply deep learning to improve accuracy of climate models, profitably match computers in the cloud…
Q&A: Vivienne Sze on crossing the hardware-software divide for efficient artificial intelligence
Associate professor Vivienne Sze is bringing artificial intelligence applications to smartphones and tiny robots by co-…
Toward deep-learning models that can reason about code more like humans
A framework built by MIT and IBM researchers finds and fixes weaknesses in automated programming tools that leave them…