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-led team receives funding to develop next-generation alternatives to modern weed killers
With up to $53 million from ARPA-H, the researchers will use AI to generate safer herbicides that reduce dependence on imports and improve the security of the U.S. food supply.
A single AI model simulates the behavior of many substances, from sliding sand to folding proteins
By learning how matter moves, the WorldParticle system could assist with developing soft robots, medicines, and more.
AI-assisted learning platform helps robots reason beyond literal commands
The new approach, known as FLEX, could lead to more intuitive, interactive household and assistive robots.
How to predict the behavior of molecules from scant data
A machine-learning approach called CheMeleon provides a practical way to develop new drugs or other molecules with much less detailed, expensive experimentation.
Clearing up a robot’s fuzzy memory
A new system identifies and corrects unreliable object descriptions stored in a robot’s memory, improving the robot’s ability to interact with its environment.
Building connections across the research infrastructure
MIT.nano and the Northeast Microelectronics Coalition gathered facility leaders and technology professionals from across the nation to explore ways to make shared-access facilities more connected.
Powering up for a pivotal moment
From a nuclear revival to qubits, the MIT Energy Initiative’s annual research conference tracked deployment of today’s technologies to discovery of tomorrow’s breakthroughs.
Regina Barzilay and Jim Collins win Pritzker Prize for AI and Science Research Excellence for work in AI-enabled antibiotic discovery
The MIT professors collaborated to identify the first AI-discovered antibiotic, a scientific breakthrough that is widely recognized as a milestone in AI-driven drug discovery.
MIT affiliates named 2026 Schmidt Sciences AI2050 Fellows
Five MIT faculty members and two additional alumni are honored with fellowships to advance research on beneficial AI.
Q&A: Hey AI, who should I vote for this year?
MIT professors Adam Berinsky and Chara Podimata discuss a new project to track how AI chatbots are responding to questions about the 2026 U.S. midterm elections.
3 Questions: Why infrastructure is entering a defining era
Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.
Making machines that can listen
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
Learner collaborates with MIT peers to develop book of AI insights
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
At New York Climate Week 2026, MIT connects with a global network
A cross-section of the MIT community convened discussions on topics ranging from data centers and super pollutants to agriculture and education.