AI Research
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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2019 @Scale Conference recap
Video @Scale 2019 recap
Hydra: A framework that simplifies development of...
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AI RESEARCH
SEP 17, 2019
Register now for @Scale 2019!
AI RESEARCH
SEP 5, 2019
Creating a data set and a challenge for deepfakes
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
AI RESEARCH
JUL 30, 2019
Michael F. Cohen awarded 2019 Steven A. Coons award
AI RESEARCH
JUL 30, 2019
EGG: A toolkit for multi-agent language emergence simulations
AI RESEARCH
JUL 24, 2019
Mapping roads through deep learning and weakly supervised training
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
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