News
Results
Reprogrammable materials selectively self-assemble
Researchers create a method for magnetically programming materials to make cubes that are very picky about what they connect with, enabling more-scalable self-assembly.
Five MIT PhD students named inaugural Amazon Fellows
Awarded by the Science Hub, the fellowship will provide support to pursue research in the fields of artificial intelligence and robotics.
MIT system “sees” the inner structure of the body during physical rehab
A system for monitoring motion and muscle engagement could aid the elderly and athletes during unsupervised physical rehabilitation for injuries or impaired mobility.
Learning on the edge
A new technique enables AI models to continually learn from new data on intelligent edge devices like smartphones and sensors, reducing energy costs and privacy risks.
Four from MIT receive NIH New Innovator Awards for 2022
Awards support high-risk, high-impact research from early-career investigators.
Scientists chart how exercise affects the body
A new study maps the genes and cellular pathways that contribute to exercise-induced weight loss.
Investigating at the interface of data science and computing
Guy Bresler builds mathematical models to understand multifaceted, interdisciplinary engineering problems that have far-reaching applications.
Neurodegenerative disease can progress in newly identified patterns
A machine-learning method finds patterns of health decline in ALS, informing future clinical trial designs and mechanism discovery. The technique also extends to Alzheimer’s and Parkinson’s.
MIT engineers build a battery-free, wireless underwater camera
The device could help scientists explore unknown regions of the ocean, track pollution, or monitor the effects of climate change.
Q&A: Global challenges surrounding the deployment of AI
Aleksander Madry, Asu Ozdaglar, and Luis Videgaray, co-chairs of the AI Policy Forum, discuss key issues facing the AI policy landscape today.
