Advancing the field of machine intelligence
We are committed to advancing the field of machine intelligence and are creating new technologies to give people better ways to communicate. In short, to solve AI.
Facebook Artificial Intelligence researchers seek to understand and develop systems with human-level intelligence by advancing the longer-term academic problems surrounding AI. Our research covers the full spectrum of topics related to AI, and to deriving knowledge from data: theory, algorithms, applications, software infrastructure and hardware infrastructure. Long-term objectives of understanding intelligence and building intelligent machines are bold and ambitious, and we know that making significant progress towards AI can’t be done in isolation. That’s why we actively engage with the research community through publications, open source software, participation in technical conferences and workshops, and collaborations with colleagues in academia.
Facebook AI researchers work from our offices around the globe: Menlo Park, New York City, Seattle, Pittsburgh, Montreal, Paris, Tel Aviv and London.
“We have incredible people in FAIR who are making significant progress in AI, but to really move the bar it’s equally as important to be outward focused. To push the envelope, push the science and technology forward, we must be actively engaged with the research community. We publish a lot of things we do, distribute a lot of code on open-source, and engage deeply with academia to drive the progress.” Yann LeCun, VP & Chief AI Scientist
Our PeopleView All People
Vice President of Artificial Intelligence
Artificial Intelligence, Machine Learning, Natural Language Processing & Speech
Artificial Intelligence, Computer Vision
Director, Research Science
Managing Director, FAIR
Chief AI Scientist
Latest PublicationsAll Publications
ACL - October 1, 2021
Hung Le, Chinnadhurai Sankar, Seungwhan Moon, Ahmad Beirami, Alborz Geramifard, Satwik Kottur
Interspeech - August 31, 2021
Chunyang Wu, Zhiping Xiu, Yangyang Shi, Ozlem Kalinli, Christian Fuegen, Thilo Koehler, Qing He
Interspeech - August 29, 2021
Do Sound Event Representations Generalize To Other Audio Tasks? A Case Study In Audio Transfer Learning
Anurag Kumar, Yun Wang, Vamsi Krishna Ithapu, Christian Fuegen
IJCAI - August 20, 2021
Virginie Do, Jamal Atif, Jérôme Lang, Nicolas Usunier
Latest NewsAll News
For more information about Artificial Intelligence research at Facebook, visit facebook.ai.
1:01 | August 31, 2020
1:31 | August 31, 2020
2:00 | August 31, 2020
1:30 | August 24, 2020