This podcast series will provide an overview of the Air Force Research Lab (AFRL) Information Directorate’s open innovation initiative and the Innovare Advancement Center. AFRL envisions Innovare becoming a global catalyst to converge world-class talent with cutting-edge facilities and focused technology challenges to accelerate the development of
Topic: Machine Learning (ML)
U.S. Northern Command hosted a global information dominance exercise and the results point to the tremendous advantages the Defense Department would receive by applying machine learning and artificial intelligence to all-domain information, Air Force Gen. Glen D. VanHerck said yesterday.
Join CSIAC Tuesday, March 23 at 1100 – 1200 EDT for a webinar titled “Deep Learning for Radio Frequency Target Classification.” Please register in advance at: https://www.anymeeting.com/PIID=E052DA83834C3C This webinar will present modern deep learning (DL) techniques for radio frequency (RF) imagery and signals (i.e., Synthetic Aperture Radar/SAR data,
Dr. Uttam K. Majumder received a Ph.D. in electrical engineering from Purdue University, an M.S. in electrical engineering from the Air Force Institute of Technology, and a B.S. in computer science from the City College of New York, CUNY. Dr. Majumder is senior electronics engineer at U.S. Air Force Research Laboratory (AFRL). His research interests include
This webinar presents modern deep learning (DL) techniques for radio frequency (RF) imagery and signals (i.e., Synthetic Aperture Radar/SAR data, communication signals) classification. First, Dr. Majumder provides a short overview of machine learning (ML) /DL theory and an understanding of SAR imagery and RF signals. Then he demonstrates detailed
Join CSIAC Tuesday, January 26 from 1100 to 1200 EST for a webinar presentation titled, “Agile Condor: Supercomputing at the Edge for Intelligent Analytics.” Please register in advance at: https://www.anymeeting.com/PIID=EF59DF86894D3E Future military conflicts will take place in contested environments where remote sensors deployed in the field will
ADELPHI, Md. -- Multi-domain operations, the Army's future operating concept, requires autonomous agents with learning components to operate alongside the warfighter. New Army research reduces the unpredictability of current training reinforcement learning policies so that they are more practically applicable to physical systems, especially ground robots.
The Autonomous Vehicle Vision 2021 (AVVision’21) workshop aims to bring together industry professionals and academics to brainstorm and exchange ideas on the advancement of visual environment perception for autonomous driving. This one-day workshop will include regular paper presentations and invited speakers to present the state of the art as well as the
Future military conflicts will take place in contested environments where remote sensors deployed in the field will employ advanced artificial intelligence and machine learning technology to reason about the battlespace in the absence of connectivity to manned ground stations. The Air Force Research Laboratory has developed Agile Condor, a flexible airborne
Mark Barnell received the B.S. degree in optical engineering from the University of Rochester, Rochester, N.Y. in 1987, and the M.S. degree in computer science from SUNY Polytechnic Institute, Utica, N.Y., in 2000. He is a Senior Computer Scientist with the U.S. Air Force Research Laboratory, High Performance Computing Systems Branch (AFRL/RITB),