New technology allows U.S. Soldiers to learn 13 times faster than conventional methods, and Army researchers said this may help save lives. At the U.S. Army Research Laboratory, scientists are improving the rate of learning even with limited resources. It's possible to help Soldiers decipher hints of information faster and come up with quicker solutions, such as recognizing threats like a vehicle-borne improvised explosive device or potential danger zones from aerial war zone images. The researchers relied on low-cost, lightweight hardware and implemented collaborative filtering, a well-known machine learning technique on a state-of-the-art, low-power Field Programmable Gate Array platform to achieve a 13.3 times speedup of training compared to a state-of-the-art optimized multi-core system and 12.7 times speedup for optimized GPU systems. The new technique consumed far less power too.

New technology allows U.S. Soldiers to learn 13 times faster than conventional methods and Army researchers said this may help save lives. At the U.S. Army Research Laboratory, scientists are improving the rate of learning even with limited resources. It's possible to help Soldiers decipher hints of information faster and more quickly deploy solutions, such as recognizing threats like a vehicle-borne improvised explosive device, or potential danger zones from aerial war zone images. The researchers relied on low-cost, lightweight hardware and implemented collaborative filtering, a well-known machine learning technique on a state-of-the-art, low-power Field Programmable Gate Array platform to achieve a 13.3 times speedup of training compared to a state-of-the-art optimized multi-core system and 12.7 times speedup for optimized GPU systems. The new technique consumed far less power too.

At the U.S. Army Research Laboratory, scientists are improving the rate of learning even with limited resources. It's possible to help Soldiers decipher hints of information faster and more quickly deploy solutions, such as recognizing threats like a vehicle-borne improvised explosive device, or potential danger zones from aerial war zone images. The researchers relied on low-cost, lightweight hardware and implemented collaborative filtering, a well-known machine learning technique on a state-of-the-art, low-power Field Programmable Gate Array platform to achieve a 13.3 times speedup of training compared to a state-of-the-art optimized multi-core system and 12.7 times speedup for optimized GPU systems. The new technique consumed far less power too. Consumption charted 13.8 watts, compared to 130 watts for the multi-core and 235 watts for GPU platforms, making this a potentially useful component of adaptive, lightweight tactical computing systems.

New technology allows U.S. Soldiers to learn 13 times faster than conventional methods and Army researchers said this may help save lives. At the U.S. Army Research Laboratory, scientists are improving the rate of learning even with limited resources. It's possible to help Soldiers decipher hints of information faster and more quickly deploy solutions, such as recognizing threats like a vehicle-borne improvised explosive device, or potential danger zones from aerial war zone images. The researchers relied on low-cost, lightweight hardware and implemented collaborative filtering, a well-known machine learning technique on a state-of-the-art, low-power Field Programmable Gate Array platform to achieve a 13.3 times speedup of training compared to a state-of-the-art optimized multi-core system and 12.7 times speedup for optimized GPU systems. The new technique consumed far less power too.

The US Army is using AI to try and give soldiers super-learning capabilities. The experimental system would allow American troops to analyse new information far faster than they can at the moment. Initial tests have found U.S. Soldiers can learn 13 times faster than conventional methods using the system. The U.S. Army Research Laboratory project is designed to'help Soldiers decipher hints of information faster and more quickly deploy solutions, such as recognizing threats like a vehicle-borne improvised explosive device, or potential danger zones from aerial war zone images.' It uses a combination of computers and AI software to analyse information on the battlefield.