Put AI to Work
April 15-18, 2019
New York, NY
Ryan Mukherjee

Ryan Mukherjee
Research Engineer, JHU/APL

Ryan Mukherjee is a senior research engineer at JHU/APL. Ryan has been involved in machine learning, computer vision, and remote sensing projects for over nine years within JHU/APL’s Research and Exploratory Development Department. Most recently, Ryan led JHU/APL’s support of IARPA’s functional Map of the World effort and is focused on providing easy and free access to associated tools and data.

Sessions

2:40pm–3:20pm Thursday, April 18, 2019
ImageNet for satellite imagery: Opportunities and risks
Implementing AI
 Location: Trianon Ballroom
Secondary topics:  Computer Vision, Data and Data Networks, Ethics, Privacy, and Security, Reliability and Safety
Ryan Mukherjee (JHU/APL), Neil Fendley (JHU/APL)
Average rating: *****
(5.00, 1 rating)
While deep learning has led to many advancements in computer vision, most research has focused on ground-based imagery. Ryan Mukherjee and Neil Fendley offer an overview of functional Map of the World (fMoW), an ImageNet for satellite imagery built to address this issue, and explain how you can attack or defend these deep learning models. Read more.