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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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Making floating point math highly efficient for AI hardware on engineering.fb.com, Facebook's engineering blog
AI Research
Making floating point math highly efficient for AI hardware
Open-sourcing FBGEMM and QNNPACK, foundational tools for AI performance, on engineering.fb.com, Facebook's Engineering blog
AI Research NOV 7, 2018
Open-sourcing foundational tools for AI performance
Zero-shot learning: Using text to more accurately identify images on Code.fb.com, Facebook's Engineering blog
AI Research NOV 5, 2018
Zero-shot learning: Using text to more accurately identify images
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Introducing Horizon, the first open-source reinforcement learning platform for production on engineering.fb.com, Facebook's Engineering blog
AI Research NOV 1, 2018
Horizon: The first open source reinforcement learning platform for large-scale products and services
Data distillation makes omni-supervised learning possible on engineering.fb.com, Facebook's Engineering blog
AI Research OCT 26, 2018
Facebook, NYU expand available languages for natural language understanding systems
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 OCT 22, 2018
Significantly faster generation and training for AI-based audio systems
AI Research OCT 15, 2018
Improving AI language understanding by combining multiple word representations
Under the hood: Facebook Marketplace powered by artificial intelligence
AI Research OCT 2, 2018
Under the hood: Facebook Marketplace powered by artificial intelligence
Facebook accelerates AI development with new partners and production capabilities for PyTorch 1.0
AI Research OCT 2, 2018
Facebook accelerates AI development with new partners and production capabilities for PyTorch 1.0
Open-sourcing FBGEMM and QNNPACK, foundational tools for AI performance, on engineering.fb.com, Facebook's Engineering blog
AI Research OCT 1, 2018
Training AI agents to solve unfamiliar tasks
Data distillation makes omni-supervised learning possible on engineering.fb.com, Facebook's Engineering blog
AI Research SEP 24, 2018
Data distillation makes omni-supervised learning possible
2018 @Scale Conference
AI Research SEP 17, 2018
2018 @Scale Conference recap

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Finding and fixing software bugs automatically with SapFix and Sapienz

Jun 20, 2018

2018 Networking @Scale recap

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Available Positions


  • AI Specialist (Technical Leadership) - Product and Applied Research
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  • Research Scientist - Reality Labs
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  • Research Scientist - Reality Labs
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