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Introduction

In this edition of the AIR chart we take a closer look at the esoteric parts of the AIR spectrum: hardware exploiting optical or photonic physics, analog physics (light also falls into this category), and photonic quantum effects.

Highlights

  • Optics offers a way to translate linear algebra calculations required in deep learning to be performed with light as light beams can interact linearly through the superposition effect. The benefit is that deep learning matrix multiplication and accumulation steps can be performed at the speed of light and with considerable power saving.

Features and Benefits

  • Learn who the players are in the new analog and photonics AI hardware accelerator market.
  • Assesses at which level the players in this market are in their maturity journey and readiness in processor availability.

Key questions answered

  • What are the advantages of analog and photonic physics over electronics in AI hardware acceleration?
  • What are the different types of technologies being applied in the analog and photonic AI hardware accelerator market?

Table of contents

Ovum view

  • Summary
  • Introduction
  • The analog and photonic AI hardware acceleration vendors
  • AIR Chart: the analog and photonic AI processor market snapshot in January 2020

Appendix

  • Further reading
  • Author

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