Check the source for several FAIR project overviews; on a related note, see Facebook's top AI scientist says it's 'dust' without artificial intelligence | CNN
"Five years ago, we created the Facebook AI Research (FAIR) group to advance the state of the art of AI through open research for the benefit of all — it’s an effort to understand the nature of intelligence so that we might create intelligent machines. Since then, FAIR has learned a lot and grown into an international research organization with labs in Menlo Park, New York, Paris, Montreal, Tel Aviv, Seattle, Pittsburgh, and London. AI has become so central to Facebook that FAIR is now part of a larger Facebook AI organization that works on all aspects of AI R&D, from fundamental research to applied research and technology development.
FAIR has applied an open model to all aspects of our work, collaborating broadly with the community. Our teams publish cutting-edge research early and often, and open-source our research code, data sets, and tools like PyTorch, fastText, FAISS, and Detectron where possible. The approach has been successful for advancing the state of AI research. This year, FAIR’s researchers have won recognition, including Best Paper awards, at ACL, EMNLP, CVPR, and ECCV, and Test of Time awards at ECCV, ICML, and NeurIPS. We know working in the open allows everyone to make faster progress on AI.
Making machines truly intelligent is a scientific challenge as well as a technological and product engineering challenge. A significant part of FAIR’s research focuses on fundamental questions about the keys to reasoning, prediction, planning, and unsupervised learning. And in turn, these areas of investigation require better theoretical understanding in fields such as generative models, causality, high-dimensional stochastic optimization, and game theory. These long-term research explorations are required to unlock the full future potential of artificial intelligence. Of all the projects we’ve tackled over the past five years, we’ve picked a handful that show how FAIR has approached its mission, contributed to our field, and made an impact on the world."