Our latest posts...

July 20th, 2020 | LightOn Highlights from ICML 2020

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June 19th, 2020 | Handling Massive Data Rates with Localized Sketching

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June 11th, 2020 | An Easy Introduction to LightOnML

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May 28th, 2020 | Photonic Computing for Massively Parallel AI is out!

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May 14th, 2020 | Tackling Reinforcement Learning with the Aurora OPU

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May 7th, 2020 | Optical Random Features Versus SARS-CoV-2 Glycoprotein Trajectory: Round#2

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April 30th, 2020 | Random Projections did it again!

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April 23rd, 2020 | How to Perform Supervised Random Projections with Light

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April 14th, 2020 | Recover the Double Descent Curve with an OPU

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April 7th, 2020 | Welcome to LightOn Cloud 2.0 featuring LightOn Aurora OPUs

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April 1st, 2020 | Crash Course: Create your Own Image Classification Model with PyTorch

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March 25th, 2020 | Accelerating SARS-COv2 Molecular Dynamics Studies with Optical Random Features

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March 17th, 2020 | Lifting Data … and Washing Machines: Kernel Computations from Optical Random Features

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February 20th, 2020 | Au Revoir Backprop! Bonjour Optical Transfer Learning!

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January 15th, 2020 | Beyond Overfitting and Beyond Silicon: The double descent curve

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December 17th, 2019 | LightOn’s AI Research Workshop — FoRM #4: The Future of Random Matrices. Thursday, December 19th, 2019

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December 10th, 2019 | LightOn at #NeurIPS2019

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December 7th, 2019 | Supervised Random Projections made Lighter

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October 28th, 2019 | LightOn’s Summer Series #3 — How I Learned to Stop Worrying and Love Random Projections

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August 20th, 2019 | LightOn’s Summer Series #2 — Optical Computing: a New Hope

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August 9th, 2019 | LightOn’s Summer Series #1 — Faith No Moore: Silicon Will Not Scale Indefinitely

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May 23rd, 2019 | LightOn’s Third Research Workshop

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April 11th, 2019 | Shedding Light on the “Grand Débat”

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