Lightmatter

Here's the methodology we developed to perform design verification of the photonic, analog, and digital components of our processors:

Techniques for performing design verification of an optical processor In previous blog posts from Lightmatter, Martin Forsythe [1] discussed how general matrix multiplication (GEMM) is powering most advanced neural networks being developed and applied today. He also…

How the building blocks of Lightmatter's optical chips work, and how they are used to do math:

Optical components for matrix processing Introduction

How Lightmatter performs matrix calculations (the core operations in machine learning) on an optical processor:

Matrix processing with nanophotonics Explanation of how to accelerate deep learning with photonic processors with comparisons to current digital electronics approaches.

Here's the story behind our technology!

The story behind Lightmatter’s tech Photonic (or optical) computers have long been considered a holy grail for information processing due to the potential for high bandwidth…