MIT engineers design flexible “skeletons” for soft, muscle-powered robots
New modular, spring-like devices maximize the work of live muscle fibers so they can be harnessed to power biohybrid bots.
New modular, spring-like devices maximize the work of live muscle fibers so they can be harnessed to power biohybrid bots.
The advance could help make 3D printing more sustainable, enabling printing with renewable or recyclable materials that are difficult to characterize.
An MRI method purported to detect neurons’ rapid impulses produces its own misleading signals instead, an MIT study finds.
MIT scientists have tackled key obstacles to bringing 2D magnetic materials into practical use, setting the stage for the next generation of energy-efficient computers.
The low-cost hardware outperforms state-of-the-art versions and could someday enable an affordable, in-home device for health monitoring.
Seron Electronics, founded by Mo Mirvakili PhD ’17, makes research equipment with applications including microelectronics, clean energy, optics, biomedicine, and beyond.
Study shows neutrons can bind to nanoscale atomic clusters known as quantum dots. The finding may provide insights into material properties and quantum effects.
MIT researchers plan to search for proteins that could be used to measure electrical activity in the brain.
A new method to measure homophily in large group interactions offers insights into how groups might interact in the future.
Combing through 35,000 job categories in U.S. census data, economists found a new way to quantify technology’s effects on job loss and creation.
The majority of U.S. jobs are in occupations that have emerged since 1940, MIT research finds — telling us much about the ways jobs are created and lost.
New research by a team of MIT engineers offers a guide for fine-tuning specific material properties.
New initiative is convening leading companies and nonprofits with support from Google’s Community Grants Fund.
Global warming potential of sulfur hexafluoride (SF6) is more than 24,000 times that of carbon dioxide.
The 16 finalists — representing every school at MIT — will explore generative AI’s impact on privacy, art, drug discovery, aging, and more.