Corporate
Our approach
is based on use-inspired research spanning the entire stack, from hardware to software: materials, devices, circuits, algorithms and software.
Projects range from basic research on new materials and devices to architecture and algorithms enabling efficient computing.
Contact us to receive the program brochure or reach out to Liz McShane at mcshane@mit.edu.
Program goals include:
- Foster the creation of an AI hardware community at MIT
- Bring together researchers in the efficient AI, computing and hardware space
- Seed projects across the full vertical stack - materials, devices, circuits, algorithms, software and artificial intelligence
- Leverage MIT.nano: The most advanced university nanofabrication facility anywhere, fostering a unique environment for AI hardware projects
Corporate Membership
AI Hardware Program membership includes an annual base fee. Additional funding supports one or more projects per year. Existing funded projects can be leveraged.
Selected benefits for industry members include:
- Access to a private member's portal, with extended project portfolio, events, papers, and more
- Bi-annual program reviews: Spring Symposium and Fall Research Update
- Customized Ask the Experts with MIT faculty
- Monthly exposure to new MIT projects
- Regular newsletter
- Engagement with MIT faculty, researchers, and students through in person and online meetings
- Access to faculty and student profiles
- Company exposure to the MIT community
- Member pricing for MIT Sloan and College of Computing executive education and professional courses
- Invitation to events hosted by Microsystems Technology Laboratories (MTL), MIT.Nano, and additional organizations (i.e. MIT Industrial Liaison Program) from across MIT
- Participation in MTL rand MIT.nano recruiting and outreach sessions
- MIT AI Hardware and MTL annual research reports
- Company visibility on website, conference materials, reports, and at events
MIT AI Hardware Program Corporate Membership Portal
The Member Portal offers a comprehensive look at AI hardware research at MIT. Explore related news and events, read published research, and browse an archive of all MIT AI Hardware Program symposia and newsletters.
Our industry members are invited to connect with MIT faculty and students through student profiles and the prospective project interface. This interactive project repository allows members to search by faculty and keywords. It features prospective projects in the hardware and machine learning spaces, across the vertical abstraction stack: from materials to circuits, algorithms, and AI. The interface is regularly updated with new projects.
The future of high-performance computing demands the co-design of hardware and software
AMD
High performance and adaptive computing leader, powering the products and services that help solve the world’s most important challenges.
Analog Devices
A global leader in the design and manufacturing of analog, mixed signal, and DSP integrated circuits.
ASML
An innovation leader in the semiconductor industry, providing chipmakers with hardware, software, and services to mass produce patterns on silicon through lithography.
NTT Research
A subsidiary of NTT that conducts fundamental research to upgrade reality in game-changing ways that improve lives and brighten our global future.
TSMC
The world’s leading dedicated semiconductor foundry.