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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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NYU School of Medicine’s Department of Radiology chair Michael Recht, MD, Daniel Sodickson, MD, vice chair for research and director of the Center for Advanced Imaging Innovation and Yvonne Lui, MD, director of artificial intelligence, examine a knee MRI at NYU Langone Health in August, 2018. Radiologists from NYU School of Medicine will be embarking on a research collaboration with Facebook to speed up MRI by up to 10 times faster through artificial intelligence.
AI Research
Facebook and NYU School of Medicine launch research collaboration to improve MRI
AI Research JUL 17, 2018
Facebook AI Research Expands With New Academic Collaborations
AI Research JUL 13, 2018
Facebook researchers win Test of Time award
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AI Research JUL 11, 2018
Talk the Walk: Teaching AI systems to navigate New York through language
AI Research JUN 28, 2018
Spiral: Self-tuning services via real-time machine learning
AI Research MAY 2, 2018
Embodied Question Answering: A goal-driven approach to autonomous agents
AI Research MAY 2, 2018
AI at F8 2018: Open frameworks and responsible development
AI Research MAY 2, 2018
Announcing PyTorch 1.0 for both research and production
AI Research MAY 2, 2018
Advancing state-of-the-art image recognition with deep learning on hashtags
AI Research MAY 2, 2018
ONNX expansion speeds AI development
AI Research FEB 21, 2018
F8 2018 registration now open
AI Research JAN 24, 2018
Under the hood: Multilingual embeddings

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