Enabling small language models to solve complex reasoning tasks
The “self-steering” DisCIPL system directs small models to work together on tasks with constraints, like itinerary planning and budgeting.
The “self-steering” DisCIPL system directs small models to work together on tasks with constraints, like itinerary planning and budgeting.
The new certificate program will equip naval officers with skills needed to solve the military’s hardest problems.
The technique can help scientists in economics, public health, and other fields understand whether to trust the results of their experiments.
An electrical engineer by training, Su is the chair and CEO of the semiconductor company AMD.
By stacking multiple active components based on new materials on the back end of a computer chip, this new approach reduces the amount of energy wasted during computation.
Postdoc Zongyi Li, Associate Professor Tess Smidt, and seven additional alumni will be supported in the development of AI against difficult problems.
Using a versatile problem-solving framework, researchers show how early relapse in lymphoma patients influences their chance for survival.
The speech-to-reality system combines 3D generative AI and robotic assembly to create objects on demand.
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.