Accelerating artificial intelligence with silicon photonics

Nicholas C. Harris, Ryan Braid, Darius Bunandar, Jim Carr, Brad Dobbie, Carlos I. Dorta-Quiñones, Jonathan Elmhurst, Martin Forsythe, Michael Gould, Shashank Gupta, Sukeshwar Kannan, Tyler Kenney, Gary Kong, T. Lazovich, Scott McKenzie, Carl Ramey, Chithira Ravi, Michael Scott, John A. Sweeney, Ozgur Yildirim · 2020

As Moore’s law and Dennard scaling come to an end, new devices and computing architectures are being explored. The development of computing hardware designed to address the rapidly growing need for computational power to accelerate artificial intelligence applications has prompted investigations into both. While silicon photonics is typically viewed as a communications platform, we discuss its application to artificial intelligence and some outstanding challenges to be addressed.

Read the paper · More papers on PaperTik