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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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A path to unsupervised learning through adversarial networks

AI Research JUN 1, 2016

Introducing DeepText: Facebook’s text understanding engine

Facebook's Chief AI scientist, Yann LeCun, explains some of the key concepts that make machine learning this possible

AI Research MAY 10, 2016

Artificial intelligence, revealed

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AI Research MAY 9, 2016

Introducing FBLearner Flow: Facebook’s AI backbone

AI Research APR 13, 2016

Powering Facebook experiences with AI

AI Research APR 13, 2016

Introducing Facebook’s new terrestrial connectivity systems — Terragraph and Project ARIES

AI Research MAR 30, 2016

Engineering for nostalgia: Building a personalized “On This Day” experience

AI Research MAR 8, 2016

Connectivity Lab custom-designs two-axis gimbal for air-to-air and air-to-ground laser communications

AI Research FEB 25, 2016

Facebook AI Research launches partnership program

AI Research FEB 25, 2016

Register for OCP U.S. Summit

AI Research DEC 10, 2015

Facebook to open-source AI hardware design

AI Research NOV 3, 2015

Teaching machines to see and understand: Advances in AI research

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