April 6th, 2021 | The $1,000 GPT-3
Our latest posts...
March 24th, 2021 | Computing with Light: How LightOn intends to unlock Transformative AI
March 20th, 2021 | Fast Graph Classification with LightOn Optical Processing Units
March 8th, 2021 | LightOn Appliance, a photonic co-processor sets a new pathway for Transformative AI computing
February 19th, 2021 | Reservoir Transformers: train faster with fewer parameters, and get better results
January 18th, 2021 | Rethinking Attention with Performers: Towards New Transformers’ Revolution
December 8th, 2020 | LightOn at NeurIPS
December 4th, 2020 | The Hardware Lottery: the cost of straying off the beaten path
November 20th, 2020 | Deep Reservoir Computing and Beyond: Fast and Lightweight Neural Networks
November 5th, 2020 | Ignorance is Bliss: Adversarial Robustness by Design with LightOn OPUs
October 23rd, 2020 | Not all neural network architectures are created equal, some encode better priors than others
October 13th, 2020 | Slash the training cost of your models with random learning signals and without feedback
September 10th, 2020 | Five ways Photonic Computing can change the world
August 20th, 2020 | LightOn at HotChips 2020: The Three days AI Ate the Chips
July 20th, 2020 | LightOn Highlights from ICML 2020
June 19th, 2020 | Handling Massive Data Rates with Localized Sketching
June 11th, 2020 | An Easy Introduction to LightOnML
May 28th, 2020 | Photonic Computing for Massively Parallel AI is out!
May 14th, 2020 | Tackling Reinforcement Learning with the Aurora OPU
May 7th, 2020 | Optical Random Features Versus SARS-CoV-2 Glycoprotein Trajectory: Round#2
April 30th, 2020 | Random Projections did it again!
April 23rd, 2020 | How to Perform Supervised Random Projections with Light
April 14th, 2020 | Recover the Double Descent Curve with an OPU
April 7th, 2020 | Welcome to LightOn Cloud 2.0 featuring LightOn Aurora OPUs
April 1st, 2020 | Crash Course: Create your Own Image Classification Model with PyTorch
March 25th, 2020 | Accelerating SARS-COv2 Molecular Dynamics Studies with Optical Random Features
March 17th, 2020 | Lifting Data … and Washing Machines: Kernel Computations from Optical Random Features
February 20th, 2020 | Au Revoir Backprop! Bonjour Optical Transfer Learning!
January 15th, 2020 | Beyond Overfitting and Beyond Silicon: The double descent curve
December 17th, 2019 | LightOn’s AI Research Workshop — FoRM #4: The Future of Random Matrices. Thursday, December 19th, 2019
December 10th, 2019 | LightOn at #NeurIPS2019
December 7th, 2019 | Supervised Random Projections made Lighter
October 28th, 2019 | LightOn’s Summer Series #3 — How I Learned to Stop Worrying and Love Random Projections
August 20th, 2019 | LightOn’s Summer Series #2 — Optical Computing: a New Hope
August 9th, 2019 | LightOn’s Summer Series #1 — Faith No Moore: Silicon Will Not Scale Indefinitely
May 23rd, 2019 | LightOn’s Third Research Workshop
April 11th, 2019 | Shedding Light on the “Grand Débat”