Computing the future
Fireside chat brings together six Turing Award winners to reflect on their field and the MIT Stephen A. Schwarzman College of Computing.
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Q&A: Meet the former all-star pitcher turned MIT student
Chris Capuano, an analytics-friendly Major-Leaguer, pursues his MBA in the Sloan Fellows Program.
Negotiating with infrastructure cyberterrorists
Researchers design a negotiation strategy to help cities and organizations minimize losses when their data are held hostage.
Peering under the hood of fake-news detectors
Study uncovers language patterns that AI models link to factual and false articles; underscores need for further testing.
New collaboration sparks global connections to art through artificial intelligence
MIT designers, researchers, and students collaborate with The Metropolitan Museum of Art and Microsoft to improve the connection between people and art.
Urban water scarcity takes center stage at MIT Water Summit
Experts gather at MIT to share insights, techniques, and strategies for building resilient urban water systems.
LIGO and Virgo announce four new gravitational-wave detections
The observatories are also releasing their first catalog of gravitational-wave events.
Student group explores the ethical dimensions of artificial intelligence
MIT AI Ethics Reading Group was founded by students who saw firsthand how technology developed with good intentions could be problematic.
Highlighting new research opportunities in civil and environmental engineering
At its annual alumni reception, CEE faculty shared innovative research projects ranging from machine learning to regional impacts of climate change.
Ekene Ijeoma joins MIT Media Lab
The new media arts and sciences faculty member merges social justice with design, architecture, music, performance, and technology.
Taming “information hazards” in synthetic biology research
Cryptography techniques to screen synthetic DNA could help prevent the creation of dangerous pathogens, argues Professor Kevin Esvelt.
Taking machine thinking out of the black box
Adaptable Interpretable Machine Learning project is redesigning machine learning models so humans can understand what computers are thinking.
3 Questions: Sasha Costanza-Chock on new “#MoreThanCode” report
Study of 188 practitioners distills key recommendations about using technology to advance social justice and the public interest.
Holding law-enforcement accountable for electronic surveillance
CSAIL system encourages government transparency using cryptography on a public log of wiretap requests.
3Q: Julie Newman on MIT’s pioneering solar purchase
MIT’s sustainability director describes how 2016 effort has inspired Boston and other cities.