A team has developed a novel approach for comparing neural networks that looks within the ‘black box’ of artificial intelligence to help researchers understand neural network behavior. Neural networks recognize patterns in datasets; they are used everywhere in society, in applications such as virtual assistants, facial recognition systems and self-driving cars.
New method for comparing neural networks exposes how artificial intelligence works: Adversarial training makes it harder to fool the networks
