[montjoy]

Thank you for the reply. The article didn’t give details what it how it actually works so I went directly to the company’s site and found this [1]

> … leverages light scattering to perform a specific kind of matrix-vector operation called Random Projections. … have a long history for the analysis of large-size data since they achieve universal data compression. In other words, you can use this tool to reduce the size of any type of data, while keeping all the important information that is needed for Machine Learning.

So it sounds like the whole point is to reduce the data size and then feed it into GPUs like normal ML. Kind of a neat idea.

[1] https://lighton.ai/photonic-computing-for-ai/