March 09, 2020
Watch co-creator of PyTorch, SoumithChintala share the story of how PyTorch was created, how it’s evolved, and what the future holds for the community-driven framework.
March 05, 2020
We are sharing details on a new low-latency, power-efficient framework for running machine learning in the rendering pipeline for standalone VR devices that use mobile chipsets.
February 28, 2020
We have created a new AI-powered tool that can turn virtually any standard 2D picture into a 3D image.
February 27, 2020
Poincaré maps: Hyperbolic embeddings to understand how cells develop
February 25, 2020
As part of the fastMRI initiative, Facebook AI and NYU Langone Health researchers have used a technique known as an orientation adversary to remove artifacts from AI-accelerated scans. This removes a major obstacle blocking deep learning use in MRIs.
February 13, 2020
To advance the understanding of how to optimize neural recommendation systems, we are sharing insights from how these systems perform in production at scale, as well as relevant performance metrics for evaluation.
A grounded RL problem, Read to Fight Monsters, and an approach called txt2π has agents read and learn complex tasks, enabling them to generalize to new environments.
February 11, 2020
The first fastMRI interchangeability study has been completed. Radiologists found that AI-accelerated MRIs are accurate and detailed enough to replace traditional MRIs.
February 07, 2020
We are releasing TorchCraft 2: A fast, flexible, and easy-to-use StarCraft reinforcement learning environment wrapped in the Gym API.
February 06, 2020
With 4.5B parallel sentences in 576 language pairs, CCMatrix is the largest data set of high-quality, web-based bitexts for training translation models. Now Facebook AI is sharing tools for other researchers to use this corpus for their work.
We just released PyTorch3D, a new toolkit for researchers and engineers that’s fast and modular for 3D deep learning research.
February 05, 2020
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