Despite the lack of concrete evidence in the field, MIT researchers placed a bet that their framework would work.

Models trained on synthetic data can be more accurate than other models in some cases, which could eliminate some privacy, copyright, and ethical concerns from using real data.

Desiree Plata's research focuses on developing technologies and strategies for environmental sustainability.

A new method uses optics to accelerate machine-learning computations on smart speakers and other low-power connected devices.

Task Force 2021 and Beyond report highlights innovative teaching practices that MIT instructors have incorporated into in-person classes, informed by remote-teaching experiences.

Greater availability of de-identified patient health data would enable better treatments and diagnostics, the researchers say.

A new technique enables AI models to continually learn from new data on intelligent edge devices like smartphones and sensors, reducing energy costs and privacy risks.

MIT PhD candidate Jacob Jaffe uses data science to identify and solve problems in election administration.

The MIT-Pillar AI Collective will cultivate prospective entrepreneurs and drive innovation.

A machine-learning method finds patterns of health decline in ALS, informing future clinical trial designs and mechanism discovery. The technique also extends to Alzheimer’s and Parkinson’s.