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Facebook Artificial Intelligence Research (FAIR) seeks to understand and develop systems with human-level intelligence by advancing the longer-term academic problems surrounding AI. Our research covers theory, algorithms, applications, software infrastructure, and hardware infrastructure across deep learning, computer vision, natural language processing, speech, and reasoning.

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Video @Scale 2019 recap

Video @Scale 2019 recap

Hydra: A framework that simplifies the development of complex applications

AI Research OCT 3, 2019

Hydra: A framework that simplifies development of complex applications

Register now for @Scale 2019!

AI Research SEP 17, 2019

Register now for @Scale 2019!

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The Latest

Creating a data set and a challenge for deepfakes

AI Research SEP 5, 2019

Creating a data set and a challenge for deepfakes

Facebook AI has achieved impressive breakthroughs in NLP using semi-supervised and self-supervised learning techniques, which leverage unlabeled data to improve performance beyond purely supervised systems.

AI Research AUG 14, 2019

New advances in natural language processing

AI Research AUG 9, 2019

A new model for word embeddings that are resilient to misspellings

Facebook Director of computational photography Michael F. Cohen receives the 2019 Steven A. Coons Award for Outstanding Creative Contributions to Computer Graphics.

AI Research JUL 30, 2019

Michael F. Cohen awarded 2019 Steven A. Coons award

EGG: A toolkit for multi-agent language emergence simulations

AI Research JUL 30, 2019

EGG: A toolkit for multi-agent language emergence simulations

Map With AI Mapping roads through deep learning and weakly supervised training

AI Research JUL 24, 2019

Mapping roads through deep learning and weakly supervised training

Facebook, Carnegie Mellon build first AI that beats pros in 6-player poker

AI Research JUL 11, 2019

Facebook, Carnegie Mellon build first AI that beats pros in 6-player poker

AI Research JUL 2, 2019

DLRM: An advanced, open source deep learning recommendation model

Releasing Pythia to simplify building vision and language multimodal AI models

AI Research MAY 21, 2019

Releasing Pythia for vision and language multimodal AI models

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Open source at F8 2019

PyTorch-BigGraph: Faster embeddings of extremely large graphs

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Available Positions

AI Specialist (Technical Leadership) - Product and Applied Research

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