Military AI brought to you by the editors of Mil-Embedded.com focuses on artificial intelligence technology in the defense and aerospace domain, bringing readers coverage on machine learning, neural networks, and deep learning techniques leveraged in military and aerospace applications.
Scientists at the U.S. Army's corporate research laboratory are developing a new algorithm that could improve image and audio identification for intelligence gathering on the battlefield.
Scientists at HRL Laboratories have published their new framework for training computer deep neural networks to be able to classify synthetic aperture radar (SAR) images without a large labeled data set, solving the problem of SAR image identification when only a few labeled data were available.
As part of an effort to address the gap the U.S. Army faces in the need for long-lasting power and batteries for warfighters, the Army Research Office funded a research team who developed an artificial intelligence system that officials say identifies a material for creating more efficient fuel cells.
MacAulay-Brown, Inc., an Alion company, announced today that its subsidiary, Enlighten IT Consulting, LLC (EITC) has partnered with Business Enabled Acquisition & Technology on a contract award for the U.S. Air Force.
The F-35 Joint Program Office, U.S. Air Force, and Lockheed Martin have started integrating the Automatic Ground Collision Avoidance System (Auto-GCAS) on to Air Force F-35As in the fleet.
Hughes Network Systems has won an R&D contract worth $11.8 million from the U.S. Army to improve resiliency and interoperability among satellite communications systems used by the military..
The Defense Advanced Research Projects Agency’s (DARPA) Squad X Experimentation program aims to demonstrate a warfighting force with artificial intelligence as a true partner.
U.S. Army game-theory research using artificial intelligence may help treat cancer and other diseases, improve cybersecurity, deploy soldiers and assets with more efficiency, and even win a poker game.
As wireless protocols grow more complex, spectrum environments become more contested and electronic warfare grows more sophisticated. Read how artificial intelligence and deep learning can be combined with commercial off-the-shelf software defined radio to train algorithms to detect new threats faster, reduce development risk and support burden, and be deployed in SWaP-constrained (size, weight and power) signals intelligence and spectrum monitoring scenarios.
