In the third and final installation of our podcast miniseries on artificial intelligence, produced in association with Darktrace, we delve into the realm of AI fighting AI--or what researchers refer to as "adversarial AI." Adversarial artificial intelligence can take many forms--as a tool for hacking through AI-powered security of other systems, for example, or deceiving another algorithm with input that causes a specific, fake result. Ars editors Sean Gallagher and Lee Hutchinson spoke with the leader of the winning team from the 2016 Defense Advanced Research Projects Agency's Cyber Grand Challenge, ForAllSecure CEO David Brumley, about advancements in AI-driven hacking. Lujo Bauer, a professor of electrical and computer engineering at the Institute for Software Research at Carnegie Mellon, joined Lee and Sean to talk about his research into ways to use AI to defeat technologies such as facial recognition. And Max Heinemeyer, director of threat hunting at Darktrace, discussed research already being done into how to stop AI-driven attacks on computer networks.

Artificial Intelligence, machine learning, and other technologies are changing the world in which we live and work in some subtle, and not-so-subtle, ways. And we're diving into just a few of them in this podcast series produced in association with Darktrace. One of the most visible places where analytics based on AI and machine learning are working their way into our popular awareness is in the realm of professional sports. From the virtual lines drawn on a football field to show the line of scrimmage and first-down markers to Major League Baseball stat casts predicting the probability of successful base stealing, AI has become part of how we consume sports. In this episode, Ars editors Sean Gallagher and Lee Hutchinson talk with Tim Wade, vice president at NTT's Advanced Technology Group, about how NTT provides AI-based analytics for the Tour de France, the iconic 21-stage cycling competition.