Advancing AI to bring the world closer together
We're advancing the state-of-the-art in artificial intelligence through fundamental and applied research in open collaboration with the community.
Research Areas
Our teams accelerate research breakthroughs across both existing and new learning paradigms to develop state-of-the-art AI that has a positive impact on people and society.
Computer Vision
Understanding the visual world around us
Conversational AI
Creating personalized and meaningful interactions
Integrity
Building AI solutions to keep people safe on social platforms
Natural Language Processing
Next generation text understanding and generation
Ranking & Recommendations
Connecting people to what's most meaningful
Systems Research
Developing novel algorithmic, software, and hardware techniques
Theory
Laying foundations for artificial intelligence
Speech & Audio
Powering voice interfaces and audio content understanding
Human & Machine Intelligence
Building algorithms inspired by, and compatible with, human cognition
Additional Areas
Reinforcement learning, robotics, graphics, and more coming soon
Fundamental & Applied Research
At Facebook AI, we conduct both fundamental and applied research to advance our understanding and impact product experiences. We publish our discoveries in peer reviewed academic journals and conferences, and build AI technologies used by billions of people around the world.
Our Values
We align our fundamental and applied research efforts and applications around a few key principles:
OPENNESSWe believe the latest advancements in AI should be published and open-sourced for the community to learn about and build upon.
COLLABORATIONWe collaborate openly with both internal and external partners to share knowledge and cultivate diverse perspectives and needs.
EXCELLENCEThere is no shortage of new areas to explore in AI - our researchers focus on the projects that we believe will have the most positive impact on people and society.
SCALETo bring the benefits of AI to more people and improve accessibility, our research must account for both large scale data and computation needs.
Fundamental Research
FAIR seeks to further our fundamental understanding in both new and existing domains, covering the full spectrum of topics related to AI, with the mission of advancing the state-of-the-art of AI through open research for the benefit of all.
Along with the key principles of Facebook AI - openness, collaboration, excellence, and scale - we believe FAIR researchers also need to have the freedom and autonomy to design and follow their own research agendas so they can can take on the most impactful work and develop the most disruptive projects, all while sharing their results with the community.
Applied Research
Facebook AI Applied Research engages in cutting-edge research that can improve and power new product experiences at huge scale for our community. Building on Facebook AI's key principles of openness, collaboration, excellence, and scale, we make big, bold research investments focused on building social value and bringing the world closer together.
Recent Publications
Cycle-Consistency for Robust Visual Question Answering
We introduce a new evaluation protocol and associated dataset (VQA-Rephrasings) and show that state-of-the-art VQA models are notoriously brittle to linguistic variations in questions.
Wizard of Wikipedia: Knowledge-Powered Conversational agents
Our best performing dialogue models are able to conduct knowledgeable discussions on open-domain topics as evaluated by automatic metrics and human evaluations, while our new benchmark allows for measuring further improvements in this important research direction.
Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search
This paper studies an approach that aims to make image-recognition systems robust against adversarial images by performing nearest-neighbor searches for similar images in a web-scale database of billions of unlabeled images.
Our Work
Learn more about the latest research advancements from Facebook AI, and how we're bringing the benefits of AI to the community.
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