Engineers design a device that operates like a brain synapse
Ion-based technology may enable energy-efficient simulations of the brain’s learning process, for neural network AI systems.
Ion-based technology may enable energy-efficient simulations of the brain’s learning process, for neural network AI systems.
Using 3D fabrication, researchers develop novel nuclear materials that optimize both accident tolerance and performance.
Ranked at the top for the ninth straight year, the Institute also places first in 12 subject areas.
Graduate student Linda Zhong and professor of biology Anthony Sinskey are studying the plastic-devouring enzyme PETase as a way to improve recycling.
The design could advance the development of small, portable AI devices.
Technique paves the way for more energy efficient, 3D microprocessors.
Fulbright Fellowship recipient encourages more musicologists and scientists to do interdisciplinary work with one another.
Graduating seniors and recent alumni will spend upcoming year abroad on Fulbright grants.
“Gold standard” material for generating oxygen from water divulges its molecular mechanisms.
Engineers develop a rapid screening system to test fracture resistance in billions of potential materials.
The MIT-IBM Watson AI Lab is funding 10 research projects aimed at addressing the health and economic consequences of the pandemic.
Jagadeesh Moodera and colleagues to investigate interface-driven phenomena in quantum materials in the quest for energy-efficient quantum electronics.
Soon, your clothes may be able to monitor your vital signs, analyze the results, and warn you of health risks.
Results could help designers engineer high-temperature superconductors and quantum computing devices.
Coal could someday be used to make a variety of useful devices, researchers suggest.