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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.
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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
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
Helping data centers deliver higher performance with less hardware
Evaluating the ethics of autonomous systems
Preview tool helps makers visualize 3D-printed objects
AI system learns to keep warehouse robot traffic running smoothly
Augmenting citizen science with computer vision for fish monitoring
Stamping high-res imagery onto everyday items to “reprogram” their appearance
MIT and Hasso Plattner Institute establish collaborative hub for AI and creativity
Generative AI improves a wireless vision system that sees through obstructions
A better method for identifying overconfident large language models
MIT-IBM Watson AI Lab seed to signal: Amplifying early-career faculty impact
Can AI help predict which heart-failure patients will worsen within a year?
Discovering the joy of future-forward electrical engineering
2026 MacVicar Faculty Fellows named
3 Questions: On the future of AI and the mathematical and physical sciences
New MIT class uses anthropology to improve chatbots
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