U.S. Army Research Laboratory scientists and University of Maryland researchers recently published a study showing how they combined two different quantum technologies to produce a timing synchronization tool for future quantum networks, the Army has announced. The breakthrough could lead to a hybrid quantum network that combines the best features of different types of quantum systems.
U.S. Army Research Laboratory
Native plant life could join traffic cameras, motion detectors and enemy sensor systems as future sources of battlefield information if the U.S. Army Research Laboratory has its way. The laboratory is applying the Internet of Things approach to theater command, control, communications, computers and intelligence as it plans to equip soldiers and their leaders with vital knowledge from nontraditional information sources, and it is leaving no stone—or crop—unturned in its efforts.
Scientists with the U.S. Army Research Laboratory discovered what officials have touted as a startling new finding for jet engine technology in their search for nanomaterials.
The researchers stabilized a copper alloy microstructure and found it to be strong at very high temperatures, a key discovery because the Defense Department depends on jet turbine engines that can operate at high temperatures and maintain structural strength. The potential materials applications could be huge, including inside turbine engines, where temperatures can rise to more than 2,500 degrees Fahrenheit.
Analysts and warfighters may not have to sift through reams of footage from a stationary surveillance system if the camera itself is programmed to determine exactly what's happening within its view. Maryann Lawlor's article, "Seeing Eye Systems Learn to Discern," in this issue of SIGNAL Magazine, describes the Mind's Eye program, a visual intelligence project underway at the Defense Advanced Research Projects Agency (DARPA) in cooperation with the U.S.
|Ronald E. Meyers delves into quantum physics research at the U. S. Army Research Laboratory. Meyers, fellow researcher Keith Deacon and Gert Cauwenberghs, a professor of bioengineering and biology at the University of California at San Diego, earned a patent for a futuristic neural computer chip.|