Is neuroscience the key to protecting AI from adversarial attacks?

This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. Deep learning has come a long way since the days it could only recognize hand-written characters on checks and envelopes. Today, deep neural networks have become a key component of many computer vision applications, from photo and video editors to medical software and self-driving cars. Roughly fashioned after the structure of the brain, neural networks have come closer to seeing the world as we humans do. But they still have a long way to go and make mistakes in situations that humans would never err.