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The crucial human component in computing and AI

The MIT Ethics of Computing Research Symposium brings together experts and researchers working at the heart of ethical and social impact in technology.

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To study how chips really work, MIT researchers built their own operating system

Improving the performance of high-power electronics

Teaching AI agents to ask better questions by playing “Battleship”

MIT researchers teach AI models to interpret charts

Q&A: The path to a PhD in computational science and engineering at MIT

Building AI models that understand chemical principles

New research enables a robot to chart a better course

The crucial human component in computing and AI

For most US drivers, EVs offer emissions benefits and cost savings

MIT student Jack Carson named 2026 Udall Scholar

Method for stress-testing cloud computing algorithms helps avoid network failures

Games people — and machines — play: Untangling strategic reasoning to advance AI

It took 40 years for technology to catch up to this zipper design

MIT affiliates awarded 2026 Guggenheim Fellowships

The MIT-IBM Computing Research Lab launches to shape the future of AI and quantum computing

Solving the “Whac-a-mole dilemma”: A smarter way to debias AI vision models

Enabling privacy-preserving AI training on everyday devices

Self-organizing “pencil beam” laser could help scientists design brain-targeted therapies

A faster way to estimate AI power consumption

MIT scientists build the world’s largest collection of Olympiad-level math problems, and open it to everyone

Teaching AI models to say “I’m not sure”

Jacob Andreas and Brett McGuire named Edgerton Award winners

Q&A: MIT SHASS and the future of education in the age of AI

A philosophy of work

New technique makes AI models leaner and faster while they’re still learning