Solid-state imaging in an era of AI

Abstract: 

Like many other fields, solid-state imaging is being permeated by Artificial Intelligence (AI). Image sensors exemplify the very large scale integration of photonics and electronics. On the electronic side, on-chip edge AI processing, which is enabled by modern chip stacking technology, is revolutionizing electronic image processing on smart phones. On the photonics side, AI methods and tools are creating new optical and photonics components that address some of the fundamental problems associated with conventional optical components in solid-state imaging. This impacts both the imaging optics that form the optical image in solid-state imaging systems and the pixel optics that control the photons making up the image on image sensor chips. In this talk, I will highlight the use of meta-optics as a replacement for bulky, heavy refractive imaging optics. In addition, I will discuss in detail how meta-photonics can be transformative for pixel optics and dramatically improve the photon efficiency of solid-state imagers, which in turn benefits subsequent electronic image processing powered by AI.

Bio: 

Dr. Peter B. Catrysse obtained his Ph.D. and M.Sc. in Electrical Engineering from Stanford University. He currently holds a senior academic research position in Stanford’s interdisciplinary Edward L. Ginzton Laboratory. With his doctoral research, he pioneered the integration of sub-wavelength nanophotonics based on metal optics in standard CMOS technology. His current work focuses on metaphotonics at the interface between fundamental physics and imaging applications. Dr. Catrysse is a Fellow of the Optical Society (Optica), a Fellow of the SPIE, a Senior Member of the IEEE, and a Hoover Foundation Brussels Fellow of the BAEF. He is the recipient of an inaugural 2008 Hewlett-Packard Labs Innovation Research Award, was named one of “50 Tech” pioneers by the Belgian Financial Times, and is listed in Research‘s Top Scientists in Engineering & Technology (top 1% by h-index).