New research could lead to faster, trustworthy AI models for climate prediction
MIT scientists developed a training method to generate models that simulate the effects of human activities on climate much more quickly than other approaches.
MIT Schwarzman College of Computing welcomes seven new faculty for 2026
Faculty members serve in core computing and shared roles, bringing a wide range of experiences and areas of expertise to the MIT community.
School of Engineering welcomes new faculty in 2026
The newest MIT engineering faculty are conducting research across a diverse range of subject areas.
3 Questions: What is the best path forward for AI in academia?
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
Computational tools for society’s most complex challenges
Associate Professor Cathy Wu uses reinforcement learning to help map out improvements to transportation and other multifaceted systems.
A home a world away from home
One graduate student family treasures the community they found alongside other MIT student parents.
MIT researchers are mapping extreme weather risks — and building tools to act on them
The Climate Grand Challenges “New World of Weather” project shows how modeling, planning tools, and infrastructure analysis are translating research into real-world resilience.
Measure by measure, studying society accurately
Naoki Egami has become a standout in political methodology, helping refine tools that give scholars durable results.
New method enables AI for safety-critical situations
The “HardFlow” algorithm could help generative AI models produce high-quality outputs that obey strict requirements when “pretty close” doesn’t cut it.
Generating scenarios for extreme events, without extreme data
A new algorithm learns to anticipate the unprecedented scenarios that critical infrastructure and global supply chains are least prepared for.
Mathematical framework connects biological principles to manufacturable, adaptive materials
The new framework could streamline the design process of robotic grippers or aerospace components that exhibit complex behaviors found in nature.
Alexander Rakhlin named director of the MIT Statistics and Data Science Center
An expert in machine learning, statistics, and computation, Rakhlin succeeds Professor Ankur Moitra.
Helping AI models to meet the real world
Through research and entrepreneurship, Professor Devavrat Shah is helping to design methods that can handle constant decision-making using limited computational resources.
Bringing the data to every sideline
PhD candidate Henry Wang works with FIFA and other organizations to advance the way sports are played, analyzed, and refereed.
Jesse Thaler named director of the Laboratory for Nuclear Science
The professor of physics and inaugural director of the NSF AI Institute for Artificial Intelligence and Fundamental Interactions will lead LNS and continue his research in particle physics.