Tools and infrastructure
Access to AI models, computing resources, technical support, and shared research infrastructure.
MIT AI Exchange
Research Exchange
Supporting AI research at MIT — new research tools, AI applied across disciplines, and guidance on responsible AI use in research.
The Research Exchange connects researchers across MIT through programs with schools and the college, and through faculty-led communities of practice.
Faculty director: Markus Buehler
AI + X programs
Research themes
Programs connect MIT's schools as well as the Schwarzman College of Computing. They support collaboration through seminars, workshops, fellowships, and seed grants.
- AI + Science
- AI + Engineering
- AI + Management
- AI + Society
Additional AI + X programs
Further programs may develop with MIT's schools, college, departments, laboratories, centers, and institutes.
Communities of practice
Research communities
Faculty, students, and research staff work together on shared research challenges. Each community develops methods, tools, or datasets that other MIT research groups can use.
Example Communities
- Materials
- Biology
- Energy
- Physics
- Design
- Creativity
Shared support
Training and guidance
Research training and guidance on methods, reproducibility, responsible AI use, and data governance.
Research connections
Workshops and other gatherings connect researchers across MIT and with external collaborators.