Research Areas
Giving people the power to share and connect requires constant innovation
At Facebook, research permeates everything we do. We believe the most interesting research questions are derived from real world problems. Working on cutting edge research with a practical focus, we push product boundaries every day. At the same time, we publish papers, give talks, and collaborate broadly with the academic community.
We solve real-world problems that impact billions of people in areas such as:
Research Areas at Facebook
AR/VR
Creating the future of personal and shared reality
Artificial Intelligence
Advancing the field of machine intelligence
Computational Photography & Intelligent Cameras
Mobile visual processing to understand, augment, and enhance sharing and connections
Computer Vision
Understanding the visual world around us
Data Science
Gaining insights to deliver meaningful social interactions
Databases
We build the next generation of data systems that help connect the world
Economics & Computation
Exploring the intersection of economics and computation
Human Computer Interaction & UX
Understanding and improving social experiences
Machine Learning
Applying machine learning science to Facebook products
Natural Language Processing & Speech
Breaking down language barriers
Networking & Connectivity
Data networks that support the social network
Security & Privacy
Keeping the Facebook community safe and secure
Systems & Infrastructure
Building the systems to bring the world closer together
Our people
See all People
Jordan Eschler
UX Researcher
Human Computer Interaction & UX
Mark Harman
Research Scientist
Systems & Infrastructure
Yann LeCun
Chief AI Scientist
Artificial Intelligence
Aude Hofleitner
Research Scientist Manager
Data Science
Nicolas Stier
Co-Director of Core Data Science
Data Science, Economics & Computation, Machine Learning, Networking & Connectivity, Systems & Infrastructure
Lauren Scissors
Research Director
Human Computer Interaction & UX
Latest Publications
All PublicationsIR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL
Nirbhay Modhe, Prithvijit Chattopadhyay, Mohit Sharma, Abhishek Das, Devi Parikh, Dhruv Batra, Ramakrishna Vedantam
IJCAI - January 5, 2021
Asynchronous Gradient-Push
Mahmoud Assran, Michael Rabbat
IEEE Transactions on Automatic Control - January 1, 2021
Weak-Attention Suppression For Transformer Based Speech Recognition
Yangyang Shi, Yongqiang Wang, Chunyang Wu, Christian Fuegen, Frank Zhang, Duc Le, Ching-Feng Yeh, Michael L. Seltzer
Interspeech - October 26, 2020
The Determinants of Social Connectedness in Europe
Michael Bailey, Drew Johnston, Theresa Kuchler, Dominic Russel, Bogdan State, Johannes Stroebel
SocInfo - September 22, 2020
Machine Learning in Compilers: Past, Present, and Future
Hugh Leather, Chris Cummins
FDL - September 14, 2020
Exploring Crowd Co-creation Scenarios for Sketches
Devi Parikh, Larry Zitnick
ICCC - September 7, 2020
Lemotif: An Affective Visual Journal Using Deep Neural Networks
X. Alice Li, Devi Parikh
ICCC - September 7, 2020
Predicting A Creator’s Preferences In, and From, Interactive Generative Art
Devi Parikh
ICCC - September 7, 2020
Latest News
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Videos
All VideosContactPose: A Dataset of Grasps with Object Contact and Hand Pose
1:01 | August 31, 2020
TexMesh: Reconstructing Human Texture and Geometry from Monocular Video
2:00 | August 31, 2020
Are Labels Necessary for Neural Architecture Search?
1:31 | August 31, 2020
TextCaps: a Dataset for Image Captioning with Reading Comprehension
2:00 | August 31, 2020
PyTorch 
DensePose 
Torch