Recent Developments in Artificial Intelligence - Lessons from the Private Sector

NIH Frontiers in Data Science Series

Lecture Title: Recent Developments in Artificial Intelligence - Lessons from the Private Sector

Andrew Moore
Dean of the School of Computer Science
Carnegie Mellon University

When: Monday, September 21, 2015, 12:00-1:00 pm
Where: Building 10, Lipsett Auditorium

The lecture will be archived and videocasted at: https://videocast.nih.gov
Please join us for a lecture sponsored by the NIH Office of the Associate Director for Data Science in conjunction with the National Library of Medicine. Dr. Andrew Moore will discuss some of the big developments in computer science from the perspective of someone crossing over from industry to academia. He will talk about roadmaps for AI-based consumer and advice products in the commercial world and contrast with some of the potentially viable roadmaps in healthcare. Dr. Moore will also touch on entity stores (aka knowledge graphs), question answering and ultra-large data center architectures. Please visit the event page at https://datascience.nih.gov/community/datascience-at-nih/frontiers for more information.

Andrew Moore is the Dean of the School of Computer Science at Carnegie Mellon University. His areas of research and expertise include decision and control algorithms, statistical machine learning, artificial intelligence, robotics, and statistical computation for large volumes of data. Dr. Moore previously served as the VP of Engineering at Google Pittsburg where he was responsible for the retail segment: Google Shopping. He was involved with a number of Google/University activities, two examples of which were Google Sky (in collaboration with CMU, Hubble Space Telescope Center and University of Washington) and the Android SkyMap app.

Reasonable Accommodation: Individuals with disabilities who need Sign Language Interpreters and/or reasonable accommodation to participate in this event should contact Sonynka Ngosso, at 301-402-9816 and/or the Federal Relay(1-800-877-8339). Requests should be made at least 5 business days in advance of the event.