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.
New system gives users more control over their online experience
The Social.Wiki framework enables anyone to easily edit social websites within the system, while allowing them to choose the content they see.
J-PAL North America launches Homelessness Evaluation Resource Hub to drive evidence-informed approaches to housing stability
The hub serves as a free, online repository of essential content for policymakers, practitioners, and researchers seeking to leverage rigorous research to inform their approaches to homelessness.
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.
Giving AI a “crystal clear” view of the materials world
New research can help AI models understand crystalline materials in 3D and reason about their properties.
Supporting systems of success
In the MIT class 6.C31 (Hack Yourself) students apply computer science strategies to personal growth goals.
Using AI to mitigate the growing environmental threat of data centers
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
Turning the tide on Massachusetts shellfishing data
MIT researchers built a cloud-based platform to help Massachusetts coastal towns and the state manage shellfishing closures, giving thousands of permit holders a clearer view of where they can fish.
Supercomputing researchers document evolution of AI hardware
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
MIT students gain a humanist lens on technical innovation in Tulsa, Oklahoma
The PKG Center for Social Impact expands Code.Tulsa experiential learning program.
From MIT to IBM, expediting AI and quantum deployment
MIT affiliates engage with the MIT-IBM Computing Research Lab to bring rigorous theory to production systems.
Translating economic growth into better lives
Graduate student Lyonel Tanganco investigates how to improve public policy interventions and address challenges in nutrition, climate, and development.
When AI art has no author: Study finds generated images often can’t be traced to training data
A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.
How a medical database developed at MIT evolved into a global standard of data-sharing
The visionary PhysioNet platform launched 25 years ago, based on a system developed at MIT in the 1970s. It has become one of the most comprehensive biomedical and clinical data repositories in existence.
3 Questions: Neural transparency and the future of AI design
Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.