New method of US Army accelerates AI decision-making

U.S. Army DEVCOM Army Research Laboratory Public Affairs explains. Notice that some information is not captured in the compressed image, e.g., the orange cone in the original frame does not appear to have the orange color in the compressed frame. The point though is that the information needed to maintain detection performance is preserved and other information is thrown out to reduce the image size. The compressed/reconstructed image is 48.5kB compared to the 2.5MB for the original, which is only 2% of the original size. Researchers from the U.S. Army Combat Capabilities Development Command, known as DEVCOM, Army Research Laboratory and university partners from the Internet of Battlefield Things Collaborative Research Alliance, or IoBT CRA, developed a new solution to provide battlefield applications with pressing machine intelligence, even when the local environment is not able to facilitate AI processing.