18 - 22 August 2024
San Diego, California, US
Conference 13110 > Paper 13110-78
Paper 13110-78

Photonic architectures for in-memory computing using nonvolatile optical materials (Invited Paper)

21 August 2024 • 3:50 PM - 4:15 PM PDT

Abstract

This invited talk will discuss various strategies for photonic in-memory computing using nonvolatile optical materials on an integrated silicon photonics platform. Both experimental demonstrations and methods for modeling large scale photonic neural networks will be presented.

Presenter

Nathan Youngblood
Univ. of Pittsburgh (United States)
Dr. Nathan Youngblood is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Pittsburgh. Prior to Pitt, he was a postdoctoral researcher at the University of Oxford where he developed phase-change optical systems and photonic architectures for non-von Neumann computing. Dr. Youngblood is a recipient of the NSF CAREER and AFOSR Young Investigator awards and leads the Youngblood Photonics Lab at Pitt, whose goal is to develop reconfigurable photonic materials, devices, and architectures which have potential to transform the field of artificial intelligence by minimizing computing latency and energy consumption.
Application tracks: AI/ML
Presenter/Author
Nathan Youngblood
Univ. of Pittsburgh (United States)