Using AI to optimize for rapid neural imaging
MIT CSAIL researchers combine AI and electron microscopy to expedite detailed brain network mapping, aiming to enhance connectomics research and clinical pathology.
Reflecting on a decade of SuperUROP at MIT
Ten years after the founding of the undergraduate research program, its alumni reflect on the unexpected gifts of their experiences.
Using language to give robots a better grasp of an open-ended world
By blending 2D images with foundation models to build 3D feature fields, a new MIT method helps robots understand and manipulate nearby objects with open-ended language prompts.
2023-24 Takeda Fellows: Advancing research at the intersection of AI and health
Thirteen new graduate student fellows will pursue exciting new paths of knowledge and discovery.
In online news, do mouse clicks speak louder than words?
Partisan media might deepen political polarization, but we should measure people’s media habits more carefully before drawing conclusions, researchers say.
How “blue” and “green” appeared in a language that didn’t have words for them
People of a remote Amazonian society who learned Spanish as a second language began to interpret colors in a new way, an MIT study has found.
MIT scientists receive NIH BRAIN Initiative grants
BRAIN CONNECTS supports McGovern Institute and Department of Brain and Cognitive Sciences research aimed at mapping the brain’s connections.
In a surprising finding, light can make water evaporate without heat
A newly identified process could explain a variety of natural phenomena and enable new approaches to desalination.
Light-activated muscle grafts show promise in aiding muscle recovery post-trauma
Actuating grafts appears to turn on cell signals related to the growth of new blood vessels and nerves, a promising finding for restoring mobility in muscle lost through disease or trauma.
Engineers develop an efficient process to make fuel from carbon dioxide
The approach directly converts the greenhouse gas into formate, a solid fuel that can be stored indefinitely and could be used to heat homes or power industries.
New techniques efficiently accelerate sparse tensors for massive AI models
Complimentary approaches — “HighLight” and “Tailors and Swiftiles” — could boost the performance of demanding machine-learning tasks.
Accelerating AI tasks while preserving data security
The SecureLoop search tool efficiently identifies secure designs for hardware that can boost the performance of complex AI tasks, while requiring less energy.
The brain may learn about the world the same way some computational models do
Two studies find “self-supervised” models, which learn about their environment from unlabeled data, can show activity patterns similar to those of the mammalian brain.
3 Questions: A roadmap toward circularity in the footwear industry
Coauthors of a “Footwear Manifesto” report discuss survey findings that point to industry collaboration as a path to reducing waste in shoe manufacturing.
Making genetic prediction models more inclusive
MIT computer scientists developed a way to calculate polygenic scores that makes them more accurate for people across diverse ancestries.