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.
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.
Task Force 2021 and Beyond report highlights innovative teaching practices that MIT instructors have incorporated into in-person classes, informed by remote-teaching experiences.
A system for monitoring motion and muscle engagement could aid the elderly and athletes during unsupervised physical rehabilitation for injuries or impaired mobility.
MMIP aims to incentivize more students to consider a career in semiconductors and microelectronics, addressing a crucial, nationwide talent gap.
Awards support high-risk, high-impact research from early-career investigators.
A new study maps the genes and cellular pathways that contribute to exercise-induced weight loss.
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.
Guy Bresler builds mathematical models to understand multifaceted, interdisciplinary engineering problems that have far-reaching applications.
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.
The MIT-Pillar AI Collective will cultivate prospective entrepreneurs and drive innovation.
Aleksander Madry, Asu Ozdaglar, and Luis Videgaray, co-chairs of the AI Policy Forum, discuss key issues facing the AI policy landscape today.
The device could help scientists explore unknown regions of the ocean, track pollution, or monitor the effects of climate change.
Graduate Student Council introduces new grad students to MIT with information, community, and interactive activities.
Researchers created a system that lets robots effectively use grasped tools with the correct amount of force.
MIT professor to share $3 million prize with three others; Daniel Spielman PhD ’95 wins Breakthrough Prize in Mathematics.