Researchers discover a shortcoming that makes LLMs less reliable
Large language models can learn to mistakenly link certain sentence patterns with specific topics — and may then repeat these patterns instead of reasoning.
Technology and society
Helping K-12 schools navigate the complex world of AI
MIT’s Teaching Systems Lab, led by Associate Professor Justin Reich, is working to help educators by listening to and sharing their stories.
Read MoreCreating AI that matters
How the MIT-IBM Watson AI Lab is shaping AI-sociotechnical systems for the future.
Read MoreRemembering Professor Emerita Jeanne Shapiro Bamberger, a pioneer in music education
The former department chair was an early innovator in the use of artificial intelligence to both study and influence how children learn music.
Read MoreRay Kurzweil ’70 reinforces his optimism in tech progress
Receiving the Robert A. Muh award, the technologist and author heralded a bright future for AI, breakthroughs in longevity, and more.
Read MoreMIT Schwarzman College of Computing and MBZUAI launch international collaboration to shape the future of AI
The MIT–MBZUAI Collaborative Research Program will unite faculty and students from both institutions to advance AI and accelerate its use in pressing scientific and societal challenges.
Read MoreImproving the workplace of the future
Economics doctoral student Whitney Zhang investigates how technologies and organizational decisions shape labor markets.
Read MoreAt the inaugural MIT Generative AI Impact Consortium Symposium, researchers and business leaders discussed potential advancements centered on this powerful technology.
Read MorePedestrians now walk faster and linger less, researchers find
A computer vision study compares changes in pedestrian behavior since 1980, providing information for urban designers about creating public spaces.
Read MoreThe Language/AI Incubator, an MIT Human Insight Collaborative project, is investigating how AI can improve communications among patients and practitioners.
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