Artificial intelligence for augmentation and productivity
The MIT Schwarzman College of Computing awards seed grants to seven interdisciplinary projects exploring AI-augmented management.
The MIT Schwarzman College of Computing awards seed grants to seven interdisciplinary projects exploring AI-augmented management.
The ultrasmall “switch” could be easily scaled.
Faculty members were recently granted tenure in the departments of Biology, Brain and Cognitive Sciences, Chemistry, EAPS, and Physics.
Professor of physics will use US Department of Defense fellowship to study quantum science with ultracold atoms.
By fine-tuning the spin density in some materials, researchers may be able to develop new quantum sensors or quantum simulations.
Researchers develop a machine-learning technique that can efficiently learn to control a robot, leading to better performance with fewer data.
Researchers discover how to control the anomalous Hall effect and Berry curvature to create flexible quantum magnets for use in computers, robotics, and sensors.
Mathias Kolle’s color-changing materials take inspiration from butterflies and mollusks.
The color changes reflect significant shifts in essential marine ecosystems.
The images shed light on how electrons form superconducting pairs that glide through materials without friction.
Work could lead to heady applications in novel electronics and more.
Ranking at the top for the 12th year in a row, the Institute also places first in 11 subject areas.
The results could help turn up unconventional superconducting materials.
New research explores how Dyson maps are putting quantum computers to work in designing fusion energy devices.
Award recognizes scholars who have the “extraordinary creativity necessary to tackle problems others can’t solve.”