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

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

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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

Léon Bottou and Olivier Bousquet

AI Research DEC 6, 2018

Léon Bottou and Olivier Bousquet win Test of Time award

AI Research DEC 5, 2018

FAIR turns five: What we’ve accomplished and where we’re headed

Using AI and satellite imagery for disaster insights on Code.fb.com, Facebook's Engineering blog

AI Research NOV 30, 2018

Using AI and satellite imagery for disaster insights

Research in Brief: Neural Egg Separation: Training ML systems to extract audio and video from noisy, cluttered environments on Code.fb.com, Facebook's Engineering blog

AI Research NOV 28, 2018

Neural Egg Separation: Training ML systems to extract audio/video from noisy/cluttered environments

New fastMRI open source AI research tools from Facebook and NYU School of Medicine on engineering.fb.com, Facebook's Engineering blog

AI Research NOV 26, 2018

New fastMRI open source AI research tools from Facebook and NYU School of Medicine

Toward a deeper understanding of the way AI agents see things - on engineering.fb.com, Facebook's Engineering blog

AI Research NOV 19, 2018

Toward a deeper understanding of the way AI agents see things

Related Posts

Talk the Walk: Teaching AI systems to navigate New York through language

Training AI agents to solve unfamiliar tasks

Embodied Question Answering: A goal-driven approach to autonomous agents

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AI Specialist (Technical Leadership) - Product and Applied Research

MENLO PARK, US
Research Engineer, AI (University Grad) | Ingénieur de recherche en IA (diplômé universitaire)

MONTREAL, CA
Research Scientist - Reality Labs

SUNNYVALE, US
Research Scientist - Reality Labs

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Research Scientist - Reality Labs

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Available Positions

AI Specialist (Technical Leadership) - Product and Applied Research

MENLO PARK, US
Research Engineer, AI (University Grad) | Ingénieur de recherche en IA (diplômé universitaire)

MONTREAL, CA
Research Scientist - Reality Labs

SUNNYVALE, US
Research Scientist - Reality Labs

REMOTE, US
Research Scientist - Reality Labs

NEW YORK, US

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