Artificial Intelligence

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

Latest Publications

All Publications

ACL - October 1, 2021

DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue

Hung Le, Chinnadhurai Sankar, Seungwhan Moon, Ahmad Beirami, Alborz Geramifard, Satwik Kottur

Interspeech - August 31, 2021

Transformer-based Acoustic Modeling for Streaming Speech Synthesis

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

Online Selection of Diverse Committees

Virginie Do, Jamal Atif, Jérôme Lang, Nicolas Usunier

For more information about Artificial Intelligence research at Facebook, visit facebook.ai.

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