A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference.

A new web-friendly modeling tool helps organizations build tailored Covid-19 testing strategies that can save money and reduce coronavirus spread.

United under the Sustainability Incubator Fund, researchers strategize sustainable sourcing solution for crises at the local and global level.

Letting an algorithm decide which maintenance holes to test for evidence of coronavirus could improve pandemic containment efforts.

Political science professor will spearhead the Institute’s interdisciplinary center that studies high-impact, complex societal challenges.

A new model suggests a plan to keep Covid-19 within the capacity of the health-care system while reopening economic activities.

Machine learning system from MIT CSAIL can look at chest X-rays to diagnose pneumonia — and also knows when to defer to a radiologist.

A global team of researchers searches for insights during a weeklong virtual “datathon.”

MIT researchers review renewable energy and carbon pricing policies as states consider repealing or relaxing renewable portfolio standards.

Associate Professor Yury Polyanskiy is working to keep data flowing as the “internet of things” becomes a reality.