MIT researchers developed a testing framework that pinpoints situations where AI decision-support systems are not treating people and communities fairly.

By quickly generating aesthetically accurate previews of fabricated objects, the VisiPrint system could make prototyping faster and less wasteful.

A new model measures defects that can be leveraged to improve materials’ mechanical strength, heat transfer, and energy-conversion efficiency.

This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.

MIT Sea Grant works with the Woodwell Climate Research Center and other collaborators to demonstrate a deep learning-based system for fish monitoring.

By moving their hands and fingers, users can direct a robot to play piano or shoot a basketball, or they can manipulate objects in a virtual environment.

An MIT-led team is designing artificial intelligence systems for medical diagnosis that are more collaborative and forthcoming about uncertainty.

Sojun Park, a postdoc at the Center for International Studies, has learned much from his research on intellectual property as well as his interactions with students and mentors at MIT.

Conference speakers discussed the unfolding trajectory of AI and the benefits of shaping technology to meets people’s needs.

Jointly led by the MIT Morningside Academy for Design, MIT Schwarzman College of Computing, and the Hasso Plattner Institute in Potsdam, the hub will foster a dynamic community where computing, creativity, and human-centered innovation meet.

This new metric for measuring uncertainty could flag hallucinations and help users know whether to trust an AI model.

With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.

At MIT, former U.S. ambassador to China Nicholas Burns highlights climate change as an area for diplomatic engagement, while exploring areas including China's emphasis on STEM education.

Academia-industry relationship is an early-stage accelerator, supporting professional progress and research.

Academia-industry relationship is an early-stage accelerator, supporting professional progress and research.

Professor Jesse Thaler describes a vision for a two-way bridge between artificial intelligence and the mathematical and physical sciences — one that promises to advance both.

MIT computer science students design AI chatbots to help young users become more social, and socially confident.

A new hybrid system could help robots navigate in changing environments or increase the efficiency of multirobot assembly teams.

Assistant Professor Matthew Jones is working to decode molecular processes on the genetic, epigenetic, and microenvironment levels to anticipate how and when tumors evolve to resist treatment.