A new way to increase the capabilities of large language models
MIT-IBM Watson AI Lab researchers developed an expressive architecture that provides better state tracking and sequential reasoning in LLMs over long texts.
Student Spotlight: Diego Temkin
The senior, who is involved in Dormitory Council, Hydrant, the Student Information Processing Board, and SuperUROP, is double majoring in computer science and engineering and in urban planning.
Introducing the Minerals Stewardship Consortium at MIT
The consortium convenes industry, academia, and policy leaders to navigate competing demands and reimagine materials supply.
“Robot, make me a chair”
An AI-driven system lets users design and build simple, multicomponent objects by describing them with words.
3 Questions: Using computation to study the world’s best single-celled chemists
Assistant Professor Yunha Hwang utilizes microbial genomes to examine the language of biology. Her appointment reflects MIT’s commitment to exploring the intersection of genetics research and AI.
MIT HEALS leadership charts a bold path for convergence in health and life sciences
Angela Koehler, Iain Cheeseman, and Katharina Ribbeck are shaping the collaborative as a platform for transformative research, translation, and talent development across MIT.
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.
New MIT program to train military leaders for the AI age
The new certificate program will equip naval officers with skills needed to solve the military’s hardest problems.
Making clean energy investments more successful
Tools for forecasting and modeling technological improvements and the impacts of policy decisions can result in more effective and impactful decision-making.
New method improves the reliability of statistical estimations
The technique can help scientists in economics, public health, and other fields understand whether to trust the results of their experiments.
New materials could boost the energy efficiency of microelectronics
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.
MIT affiliates named 2025 Schmidt Sciences AI2050 Fellows
Postdoc Zongyi Li, Associate Professor Tess Smidt, and seven additional alumni will be supported in the development of AI against difficult problems.
Prognostic tool could help clinicians identify high-risk cancer patients
Using a versatile problem-solving framework, researchers show how early relapse in lymphoma patients influences their chance for survival.
When companies “go green,” air quality impacts can vary dramatically
Cutting air travel and purchasing renewable energy can lead to different effects on overall air quality, even while achieving the same CO2 reduction, new research shows.
MIT researchers “speak objects into existence” using AI and robotics
The speech-to-reality system combines 3D generative AI and robotic assembly to create objects on demand.