NASA has collaborated with the Johns Hopkins University Applied Physics Laboratory to test a wideband polylingual terminal prototype for use in the agency’s Space Communications and Navigation program. The Polylingual Experimental Terminal,
MoreThe Johns Hopkins Applied Physics Laboratory and the University of Colorado Boulder have expanded their partnership on technology research and development to address critical national security needs. Under the partnership, APL will
MoreAndrew Mara, most recently executive vice president at the Center for Naval Analyses, has joined the Johns Hopkins University Applied Physics Laboratory as head of its national security analysis department, commonly referred
MoreTwo projects supported by the Johns Hopkins Applied Physics Laboratory have secured funding from the National Institutes of Health to accelerate neuroscience research and inform new approaches to treating human brain disorders.
MoreNASA’s Interstellar Mapping and Acceleration Probe has begun its integration and testing phase, installing its propulsion system and commencing thermal tests. The propulsion system was installed by Aerojet Rocketdyne on Tuesday, while
MoreThe Johns Hopkins University Applied Physics Laboratory is using large language modeling to develop technology that can help soldiers with no medical training to administer care to injured comrades on the battlefield.
MoreA research team at the Johns Hopkins Applied Physics Laboratory has developed a tool to help the U.S. Air Force test and evaluate autonomous vehicles in interactive environments. The Safe Testing of
MoreA study being conducted by Johns Hopkins Applied Physics Laboratory and the U.S. Army aims to combine human and artificial intelligence capabilities to improve emergency medical response during combat. The Army’s Telemedicine
MoreJohns Hopkins University’s Applied Physics Laboratory has collaborated with the University of Colorado Boulder on an independent research and development project that aims to predict wear and damage of thermal protection systems
MoreJohns Hopkins Applied Physics Laboratory researchers designed a technology based on artificial intelligence and machine learning to help forecast the formation of sea ice in the Arctic regions. The AI/ML model shows
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