Facebook has to deal with billions of data points (likes, comments, shares, posts, photos, videos and many more). The only way to provide access to this plethora of information in a structured way is to understand the data and learn mathematical models for various problems like Search, NewsFeed Ranking, Instagram trending, Ads targeting etc.). Facebook Artificial Intelligence Research(FAIR) group aims to do this with some of the brightest minds in the field directed by Dr. Yann Lecun. Our goal is to be at the forefront of Artificial Intelligence and bring that technology to the billions of users using Facebook and beyond. In this talk I will touch a few asepcts of our focus areas and focus more on Computer Vision related projects. This will be a very high-level overview talk with a few slides of technical details and the goal is to motivate everyone about the challenges we face at FAIR.

Manohar Paluri is currently managing the Applied Computer Vision group at Facebook. His group focuses on building the world's largest image and video understanding platform. Manohar got his Bachelor's degree from IIIT Hyderabad with Honors in Computer Vision and Masters from Georgia Tech. While pursuing his Ph.D. at Georgia Tech and prior to joining Facebook Manohar worked with Dr. Steve Seitz's 3D Maps team at Google Research, Video surveillance group at IBM Watson labs and applied computer vision group at Sarnoff (now Stanford Research Institute).