Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. A forward-operating Army unit is under heavy fire and poised to attack. The soldiers are armed with small arms weapons, shoulder-fired missiles, drones and even helicopter support, yet commanders need to know which among many targets to hit. Which targets should be hit first?
As the military tries to enable artificial intelligence on the battlefield, building databases and coding software are only part of the picture. AI goals like the Army's desires for autonomous vehicles or creating "hyper-enabled operators" will require computing systems to become more efficient, military technologists said during a recent panel. The challenge is in deploying "edge computing," where the high-power processors needed to run AI systems are dispersed in the field rather than located only in a central cloud system. Better hardware at the edge means less reliance on communications networks that can be denied, degraded or jammed by enemy forces. For example, sending raw data from the field to a central AI system just for an unmanned vehicle to determine if a road is turning right or left is not realistic, the experts said.
Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. What if artillery rounds, mini-drone swarms of explosives, rockets and even air-fired missiles are all approaching forward-positioned Army troops at the same time? Imagine that these incoming weapons are dispersed, varied and fast approaching. How do ground commanders avoid being overwhelmed and destroyed?
Over the past few decades, computers have seen dramatic progress in processing power; however, even the most advanced computers are relatively rudimentary in comparison with the complexities and capabilities of the human brain. Researchers at the U.S. Army Combat Capabilities Development Command's Army Research Laboratory say this may be changing as they endeavor to design computers inspired by the human brain's neural structure. As part of a collaboration with Lehigh University, Army researchers have identified a design strategy for the development of neuromorphic materials. "Neuromorphic materials is a name given to the material categories or combination of materials that provide both computing and memory capabilities in devices," said Dr. Sina Najmaei, a research scientist and electrical engineer with the laboratory. Najmaei and his colleagues published a paper, Dynamically reconfigurable electronic and phononic properties in intercalated Hafnium Disulfide (HfS2), in the May 2020 issue of Materials Today.
Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. The Chinese Army is preparing to deploy small, new, tracked war-robots armed with machine guns, night vision, missile loaders, and camera sensors to conduct attacks while leaving manned systems at safer stand-off distances. Citing a China Central Television segment on the robots, People's Online Daily reports that the "thigh-high robot looks like a small assault vehicle. Target practice results showed the robot has acceptable accuracy."
When Soldiers enter a new environment, their mission demands they stay one step ahead of the enemy; however, they may find it challenging to maintain a high level of alertness if they're driving a combat vehicle across unfamiliar or dangerous terrain.The U.S. Army Combat Capabilities Development Command's Army Research Laboratory designated several research programs as essential for future Soldier capabilities. Of these major flagship programs, the Artificial Intelligence for Maneuver and Mobility, or AIMM, Essential Research Program, endeavors to reduce Soldier distractions on the battlefield through the integration of autonomous systems in Army vehicles.Dr. John Fossaceca, AIMM program manager, said he seeks to develop the foundational capabilities that will enable autonomy in the next generation of combat vehicles. This include the construction of a robotic combat vehicle that operates independently of the main combat vehicle."The "We don't want Soldiers to be operating these remote-controlled vehicles with their heads down, constantly paying attention to the vehicle in order to control it.
Army researchers have designed a new drone that can transform mid-flight, making it capable of both high-speed flight and hovering in place at a target destination. The drone was a joint effort from the US Army Research Laboratory and engineers Texas A&M, who presented their research at the American Institute of Aeronautics and Astronautics Aviation Forum and Exposition. The drone transforms by either bending its wings upward or fully extending them depending on the needs of the mission and the types of maneuvers it needs to execute. For'dash' segments of missions, which require travel to and from a target, the wings will be folded inward to allow for faster and more efficient travel, while'loiter' phases of a mission will see the wings fully extended for increased stability. 'During dash segments, short wings are desirable in order to go fast and be more maneuverable, but for loiter segments, long wings are desirable in order to enable low power, high endurance flight.'
Limited fielding began in 1994 to select U.S. Army National Guard units and complete fielding to all M1 Abrams tank maintenance units started in 1997 and will finish by the end of 1998. The Army estimates that TED will save roughly $10 million a year through improved diagnostic accuracy and reduced waste. The development and fielding of the TED program represents the Army's first successful fielded maintenance system in the area of AI. Several reasons can be given for the success of the TED program: an appropriate domain with proper scope, a close relationship with the expert, extensive user involvement, and others that are discussed in this article.
Artificial intelligence is the next big military advantage. For example, in early 2019, the U.S. announced a strategy for harnessing AI in many parts of the military including. Intelligence analysis, decision-making, vehicle autonomy, logistics, and weaponry, reports Technology Review. In fact, according to the U.S. Army, "The AI market was more than $21 billion in 2018, and it is expected to grow almost nine times larger by 2025. AI systems provide predictive analysis to interpret human inputs, determine what we most likely want, and then provide us with highly relevant information."
When Doron Hazan '21 was drafted into the Israeli Defense Forces (IDF) after high school, he had the opportunity to join the army's intelligence unit. It was the obvious choice for the self-described "math and physics nerd" from Kiryat Shmona, a small town in Israel's Hula Valley just south of the Lebanese border. But Hazan was not one to make obvious choices. "All of my life I've been interested in human behavior," says Hazan, a junior who is enrolled in one of MIT's newest majors: computation and cognition, or Course 6-9. Launched in the fall of 2019, Course 6-9 is a joint curriculum offered by the Department of Electrical Engineering and Computer Science (EECS) and the Department of Brain and Cognitive Sciences (BCS).