Katyanna Quach | The Register
March 30, 2022

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.

Complete article from The Register.