Forging climate connections across the Institute
Inaugural Fast Forward Faculty Fund grants aim to spur new work on climate change and deepen collaboration at MIT.
Inaugural Fast Forward Faculty Fund grants aim to spur new work on climate change and deepen collaboration at MIT.
Complimentary approaches — “HighLight” and “Tailors and Swiftiles” — could boost the performance of demanding machine-learning tasks.
The SecureLoop search tool efficiently identifies secure designs for hardware that can boost the performance of complex AI tasks, while requiring less energy.
In a Q&A, the MIT junior describes how all the pieces fell into place as he captured the “Tetris” world title.
MIT computer scientists developed a way to calculate polygenic scores that makes them more accurate for people across diverse ancestries.
James Fujimoto, Eric Swanson, and David Huang are recognized for their technique to rapidly detect diseases of the eye; Subra Suresh is honored for his commitment to research and collaboration across borders.
In a new book, Richard “Dick” Larson draws on a lifelong commitment to STEM education at MIT to offer accessible advice on solving everyday problems and making smarter decisions.
StructCode, developed by MIT CSAIL researchers, encodes machine-readable data in laser-cut objects by modifying their fabrication features.
Researchers coaxed a family of generative AI models to work together to solve multistep robot manipulation problems.
Five MIT faculty, along with seven additional affiliates, are honored for outstanding contributions to medical research.
The Middle East Entrepreneurs of Tomorrow (MEET) program uses an MIT-inspired curriculum and MISTI student instructors to help young Palestinians and Israelis find common ground.
MIT engineers develop a long, curved touch sensor that could enable a robot to grasp and manipulate objects in multiple ways.
Designed to ensure safer skies, “Air-Guardian” blends human intuition with machine precision, creating a more symbiotic relationship between pilot and aircraft.
Open-source software by MIT MAD Fellow Jonathan Zong and others in the MIT Visualization Group reveals online graphics’ embedded data in the user’s preferred degree of granularity.
By focusing on causal relationships in genome regulation, a new AI method could help scientists identify new immunotherapy techniques or regenerative therapies.