Researchers measure reliability, confidence for next-gen AI

A team of Army and industry researchers have developed a metric for neural networks--computing systems modeled loosely after the human brain--that could assess the reliability and confidence of the next generation of artificial intelligence and machine learning algorithms. Deep neural network, or DNNs, are a form of machine learning that use training data to learn. Once trained, they can make predictions when given new information or inputs; however, they can be easily deceived if the new information is too far outside its training. Researchers said given the diversity of information in training data and potential new inputs, coming up with a solution is challenging. "This opens a new research opportunity to create the next generation of algorithms that are robust and resilient," said Dr. Brian Jalaian, a scientist at the U.S. Army Combat Capabilities Development Command's Army Research Laboratory.