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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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FAIR open-sources new ELF OpenGo data set, research, and insights

FAIR open-sources new ELF OpenGo data set, research, and insights

Research in Brief: Improving scene understanding through panoptic segmentation

AI Research FEB 4, 2019

Cross-lingual pretraining sets new state of the art for natural language understanding

Teaching AI to learn speech the way children do

AI Research JAN 31, 2019

Teaching AI to learn speech the way children do

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The Latest

No training required: Exploring random encoders for sentence classification

AI Research JAN 30, 2019

No training required: Exploring random encoders for sentence classification

AI Research JAN 22, 2019

Zero-shot transfer across 93 languages: Open-sourcing enhanced LASER library

AI Research JAN 8, 2019

AI year in review

Open sourcing wav2letter++, the fastest state-of-the-art speech system, and flashlight, an ML library going native

AI Research DEC 21, 2018

Open sourcing wav2letter++, the fastest state-of-the-art speech system, and flashlight, an ML library going native

Nevergrad: An open source tool for derivative-free optimization on engineering.fb.com, Facebook's Engineering blog

AI Research DEC 20, 2018

Nevergrad: An open source tool for derivative-free optimization

Research in Brief: Improving scene understanding through panoptic segmentation

AI Research DEC 19, 2018

Open-sourcing DeepFocus, an AI-powered system for more realistic VR images

AI Research DEC 14, 2018

Open-sourcing PyText for faster NLP development

Facebook contributes to MLPerf, open-sources Mask R-CNN2Go on engineering.fb.com, Facebook's Engineering blog

AI Research DEC 12, 2018

Facebook contributes to MLPerf, open-sources Mask R-CNN2Go

AI Research DEC 7, 2018

PyTorch developer ecosystem expands, 1.0 stable release now available

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QNNPACK: Open source library for optimized mobile deep learning

Open-sourcing FBGEMM for state-of-the-art server-side inference

Horizon: The first open source reinforcement learning platform for large-scale products and services

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Available Positions

AI Specialist (Technical Leadership) - Product and Applied Research

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