Robots that spare warehouse workers the heavy lifting
Founded by MIT alumni, the Pickle Robot Company has developed machines that can autonomously load and unload trucks inside warehouses and logistic centers.
Founded by MIT alumni, the Pickle Robot Company has developed machines that can autonomously load and unload trucks inside warehouses and logistic centers.
Faculty members and researchers were honored in recognition of their scholarship, service, and overall excellence.
With insect-like speed and agility, the tiny robot could someday aid in search-and-rescue missions.
Whether they walk on two, four, or six legs, animals maintain stability by monitoring their body position and correcting errors with every step.
MIT CSAIL and LIDS researchers developed a mathematically grounded system that lets soft robots deform, adapt, and interact with people and objects, without violating safety limits.
Large language models can learn to mistakenly link certain sentence patterns with specific topics — and may then repeat these patterns instead of reasoning.
BoltzGen generates protein binders for any biological target from scratch, expanding AI’s reach from understanding biology toward engineering it.
MIT researchers developed a way to identify the smallest dataset that guarantees optimal solutions to complex problems.
Jack Carson, an MIT second-year undergraduate and EECS major, is the recent winner of the Elie Wiesel Prize in Ethics.
MIT.nano cleanroom complex named after Robert Noyce PhD ’53 at the 2025 Nano Summit.
Associate Professor Phillip Isola studies the ways in which intelligent machines “think,” in an effort to safely integrate AI into human society.
The MIT Quantum Initiative is taking shape, leveraging quantum breakthroughs to drive the future of scientific and technological progress.
MIT PhD students who interned with the MIT-IBM Watson AI Lab Summer Program are pushing AI tools to be more flexible, efficient, and grounded in truth.
The coding framework uses modular concepts and simple synchronization rules to make software clearer, safer, and easier for LLMs to generate.
A new approach developed at MIT could help a search-and-rescue robot navigate an unpredictable environment by rapidly generating an accurate map of its surroundings.