Figure. 1. MIT AI Hardware Program Aims To Lead in Artificial Intelligence Technology Development

The MIT AI Hardware Program is a new academia and industry collaboration aimed at defining and developing translational technologies in hardware and software for the AI and quantum age. [1]

Based on use-inspired research involving materials, devices, circuits, algorithms, and software, the MIT AI Hardware Program convenes researchers from MIT and industry to facilitate the transition of fundamental knowledge to real-world technological solutions. The program spans materials and devices, as well as architecture and algorithms enabling energy-efficient and sustainable high-performance computing.

The inaugural members of the program are companies from a wide range of industries including chip-making, semiconductor manufacturing equipment, AI and computing services, and information systems R&D organizations. The companies represent a diverse ecosystem, both nationally and internationally, and will work with MIT faculty and students to help shape a vibrant future for our planet through cutting-edge AI hardware research.

The five inaugural members of the MIT AI Hardware Program are:

• Amazon, a global technology company whose hardware inventions include the Kindle, Amazon Echo, Fire TV, and Astro;
• 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.[2]

The MIT AI Hardware Program will create a roadmap of transformative AI hardware technologies. Leveraging MIT.nano, the most advanced university nanofabrication facility anywhere, the program will foster a unique environment for AI hardware research.

The program will prioritize the following topics:

• analog neural networks
• new roadmap CMOS designs
• heterogeneous integration for AI systems
• onolithic-3D AI systems
• analog nonvolatile memory devices
• software-hardware co-design
• intelligence at the edge
• intelligent sensors
• energy-efficient AI
• intelligent internet of things (IIoT)
• neuromorphic computing
• AI edge security
• quantum AI
• wireless technologies
• hybrid-cloud computing
• high-performance computation.[3]

References:

1. https://scitechdaily.com/mit-ai-hardware-program-aims-to-lead-in-artificial-intelligence-technology-development/
2. https://medium.com/@rex1970/ai-hardware-program-aims-to-lead-in-artificial-intelligence-technology-development-31f5f2107dd8
3. https://indiaeducationdiary.in/massachusetts-institute-of-technology-new-program-bolsters-innovation-in-next-generation-artificial-intelligence-hardware-2/

Cite this article:

Nithyasri S (2022), > MIT AI Hardware Program Aims To Lead in Artificial Intelligence Technology Development , Anatechmaz, p.p 87