MIT has announced the launch of the MIT AI Hardware Program, which will include five inaugural companies joined together with the aim of advancing transformative AI technologies for the next decade. 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. A collaboration between the MIT School of Engineering and MIT Schwarzman College of Computing, involving the Microsystems Technologies Laboratories and programs and units in the college, the cross-disciplinary effort aims to innovate technologies that will deliver enhanced energy efficiency systems for cloud and edge computing. "A sharp focus on AI hardware manufacturing, research, and design is critical to meet the demands of the world's evolving devices, architectures, and systems," says Anantha Chandrakasan, dean of the MIT School of Engineering and Vannevar Bush Professor of Electrical Engineering and Computer Science. "Knowledge-sharing between industry and academia is imperative to the future of high-performance computing."

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. A collaboration between the MIT School of Engineering and MIT Schwarzman College of Computing, involving the Microsystems Technologies Laboratories and programs and units in the college, the cross-disciplinary effort aims to innovate technologies that will deliver enhanced energy efficiency systems for cloud and edge computing. "A sharp focus on AI hardware manufacturing, research, and design is critical to meet the demands of the world's evolving devices, architectures, and systems," says Anantha Chandrakasan, dean of the MIT School of Engineering and Vannevar Bush Professor of Electrical Engineering and Computer Science. "Knowledge-sharing between industry and academia is imperative to the future of high-performance computing." 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.

Big names in tech are collaborating with academics to develop energy-optimized machine-learning and quantum-computing systems under the MIT AI Hardware Program, an initiative announced on Tuesday. Chip makers like TSMC and Analog Devices, hardware development lab NTT Research, supplier of EUV machines ASML, and tech behemoth Amazon have signed up so far. The goal is to figure out a roadmap outlining the production of next-generation, energy-efficient hardware for AI and quantum computing in the coming decade. To this end, the research will focus on developing novel architectures and software at the heart of a range of technologies, from analog neural networks and neuromorphic computing, to hybrid-cloud computing and HPC. Designs will be tested using proofs of concept at MIT.nano, the US university's small-scale fabrication facility.