When to trust an AI model
More accurate uncertainty estimates could help users decide about how and when to use machine-learning models in the real world.
More accurate uncertainty estimates could help users decide about how and when to use machine-learning models in the real world.
During a recent history of technology symposium at MIT, participants shared exciting ideas about the future of their field.
Developed by MIT RAISE, the Day of AI curriculum empowers K-12 students to collaborate on local and global challenges using AI.
A national bottle deposit fee could make a dramatic difference in reducing plastic waste, MIT researchers report.
Known for building connections between the social sciences, data science, and computation, the political science professor will lead IDSS into its next chapter.
With NASA planning permanent bases in space and on the moon, MIT students develop prototypes for habitats far from planet Earth.
Kate Brown, MIT professor of history, discusses how ordinary people taking action in their communities can offer hope for the future.
Research surveys show warnings issued by world leaders are taken equally seriously whether issued on social media or through formal statements.
The conversation in Kresge Auditorium touched on the promise and perils of the rapidly evolving technology.
“We need more scientists who can explain their work clearly, explain science to the public, and help us build a science-literate world.”
TorNet, a public artificial intelligence dataset, could help models reveal when and why tornadoes form, improving forecasters' ability to issue warnings.
At MIT’s Festival of Learning 2024, panelists stressed the importance of developing critical thinking skills while leveraging technologies like generative AI.
Programming course for incarcerated people boosts digital literacy and self-efficacy, highlighting potential for reduced recidivism.
For 10th consecutive year, the Institute ranks No. 2 among all colleges and No. 1 among colleges with one main campus, underlying the impact of innovation and critical role of technology transfer.
The MIT Schwarzman College of Computing building will form a new cluster of connectivity across a spectrum of disciplines in computing and artificial intelligence.