June 14, 2019
We’re releasing AI Habitat, a powerful new open source simulation platform for training agents in photo-realistic 3D reconstructions of physical environments.
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.
September 07, 2018
We want people to experience our products in their preferred language and to connect globally with others.
December 05, 2018
Five years ago, we created the Facebook AI Research (FAIR) group to advance the state of the art of AI through open research for the benefit of all — it’s an effort to understand the nature of intelligence so that we might create intelligent machines.
September 11, 2018
Understanding the text that appears on images is important for improving experiences, such as a more relevant photo search or the incorporation of text into screen readers that make Facebook more accessible for the visually impaired.
January 24, 2018
More than half of the people on Facebook speak a language other than English, and more than 100 languages are used on the platform.
July 13, 2018
We are pleased to announce that Facebook research scientists Ronan Collobert and Jason Weston won the 2018 International Conference on Machine Learning (ICML) “Test of Time Award” for their paper, A Unified Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning, which they presented at the 2008 ICML when both were working for NEC Labs.
December 19, 2018
A new AI-powered framework for rendering natural, realistic focus effects in VR. DeepFocus works with advanced prototype headsets, rendering blur in real time and at various focal distances.
May 02, 2018
To help pave the way for systems that are less dependent on human micromanagement and more useful generally, Facebook AI Research (FAIR) has developed a collection of virtual environments for training and testing autonomous agents, as well as novel AI agents that learn to intelligently explore those environments.
November 07, 2018
To enable large-scale production servers to run the newest, most powerful deep learning models efficiently, we have created FBGEMM, a low-precision, high-performance matrix-matrix multiplications and convolution library.
August 20, 2018
Facebook and NYU School of Medicine’s Department of Radiology are excited to announce fastMRI, a new collaborative research project that will investigate the use of artificial intelligence (AI) to make magnetic resonance imaging (MRI) scans up to 10 times faster.
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