Universal AI is “a pathway to AI fluency that’s accessible and approachable to anyone, anywhere”
New AI education program from MIT Open Learning debuts with AI-powered personalization and a free introductory course for learners everywhere.
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MIT student Jack Carson named 2026 Udall Scholar
The Udall Foundation identifies and rewards future leaders in tribal public policy, Indigenous health policy, and the environment.
Study: Firms often use automation to control certain workers’ wages
MIT economists found US companies tend to target employees earning a “wage premium,” which increases inequality but not necessarily productivity.
Method for stress-testing cloud computing algorithms helps avoid network failures
The “MetaEase” technique provides a heads-up to potential scenarios that could cause long wait-times or outages.
It took 40 years for technology to catch up to this zipper design
An old patent from MIT Professor Bill Freeman inspired the new “Y-zipper,” a three-sided fastener that snaps gear, robots, and art into shape at the push of a button.
MIT affiliates awarded 2026 Guggenheim Fellowships
Afreen Siddiqi, Kathleen Thelen, and Vinod Vaikuntanathan, along with alumna Kate Manne, are appointed to the 2026 class of “trail-blazing fellows.”
Solving the “Whac-a-mole dilemma”: A smarter way to debias AI vision models
A new debiasing technique called WRING avoids creating or amplifying biases that can occur with existing debiasing approaches.
The MIT-IBM Computing Research Lab launches to shape the future of AI and quantum computing
Building on a long-standing MIT–IBM collaboration, the new lab will chart the convergence of AI, algorithms, and quantum computing.
Enabling privacy-preserving AI training on everyday devices
A new method could bring more accurate and efficient AI models to high-stakes applications like health care and finance, even in under-resourced settings.
Six from MIT awarded 2026 Paul and Daisy Soros Fellowships for New Americans
Fellowship honors contributions of immigrants to American society by awarding $90,000 in funding for graduate studies.
A faster way to estimate AI power consumption
The “EnergAIzer” method generates reliable results in seconds, enabling data center operators to efficiently allocate resources and reduce wasted energy.
MIT scientists build the world’s largest collection of Olympiad-level math problems, and open it to everyone
New dataset of 30,000-plus competition math problems from 47 countries gives AI researchers a harder test — and students worldwide a better training ground.
Teaching AI models to say “I’m not sure”
A new training method improves the reliability of AI confidence estimates without sacrificing performance, addressing a root cause of hallucination in reasoning models.
How to expand the US economy
In “Priority Technologies,” MIT faculty examine key areas of innovation that can drive American prosperity and security — now and in the decades ahead.
Managing traffic in space
Associate Professor Richard Linares is helping satellites safely navigate in increasingly congested orbits.