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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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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

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The Latest

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

Bayesian optimization for tuning online systems with A/B tests

AI Research SEP 17, 2018

Efficient tuning of online systems using Bayesian optimization

AI Research SEP 13, 2018

Glow: A community-driven approach to AI infrastructure

AI Research SEP 13, 2018

Finding and fixing software bugs automatically with SapFix and Sapienz

Two-step model architecture: The first step performs word detection based on Faster R-CNN. The second step performs word recognition using a fully convolutional model with CTC loss. The two models are trained independently.

AI Research SEP 11, 2018

Rosetta: Understanding text in images and videos with machine learning

Animation illustrating back-translation

AI Research SEP 7, 2018

Scaling neural machine translation to bigger data sets with faster training and inference

Unsupervised MT: A novel approach to provide fast, accurate translations for more languages on engineering.fb.com, Facebook's Engineering blog

AI Research AUG 31, 2018

Unsupervised machine translation: A novel approach to provide fast, accurate translations for more languages

Related Posts

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

Under the hood: Multilingual embeddings

Transitioning entirely to neural machine translation

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Available Positions

AI Specialist (Technical Leadership) - Product and Applied Research

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