About us
The MIT AI Hardware Program
is an academia-industry initiative between the MIT School of Engineering and MIT Schwarzman College of Computing. We work with industry and governmental agencies to define and bootstrap the development of translational technologies in hardware and software for the AI and Quantum age.
Our overriding goal
is innovating technologies that deliver enhanced energy efficiency systems for computing in the cloud and at the edge.
Our approach is based on use-inspired research that involves the entire vertical abstraction stack: materials, devices, circuits, algorithms, and software. We bring together researchers to facilitate the transition of fundamental knowledge to real-world technological solutions and lead transformative AI hardware technologies of the next decade.
Our program prioritizes the following topics:
- Analog neural networks
- New roadmap CMOS designs
- Monolithic-3D AI systems
- Neuromorphic computing
- New memory devices
- Software-hardware co-design
- Intelligent sensors
- Energy efficient machine learning
- AI edge security
- Wireless technologies
- Quantum AI
- Hybrid-cloud computing
- High performance computation
Contact Us
To inquire about the program
Contact the program co-leads:
Jesús del Alamo (alamo@mit.edu) and Aude Oliva (oliva@mit.edu)
or