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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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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

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

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Making floating point math highly efficient for AI hardware on engineering.fb.com, Facebook's engineering blog

AI Research NOV 8, 2018

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

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

Related Posts

Glow: A community-driven approach to AI infrastructure

Announcing PyTorch 1.0 for both research and production

ONNX expansion speeds AI development

Related Positions

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

MONTREAL, CA
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REDMOND, US
Software Engineer, ML Infrastructure, Reality Labs Research

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AI Specialist (Technical Leadership) - Product and Applied Research

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Available Positions

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

MONTREAL, CA
Software Engineer, ML Infrastructure, Reality Labs Research

REDMOND, US
Software Engineer, ML Infrastructure, Reality Labs Research

SEATTLE, US
AI Specialist (Technical Leadership) - Product and Applied Research

MENLO PARK, US
Research Scientist - Reality Labs

SUNNYVALE, US

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