In this exciting episode of Podcasts 4 Brainport, host Iman Mossavat dives deep into the intriguing parallels between evolutionary science and artificial intelligence. Join us as we explore the insights of renowned researcher and Professor of Computer Science at the University of Helsinki, Indre Žliobaitė. She unpacks complex concepts like concept drift, adaptive models, and the No Free Lunch theorem. We discuss how these ideas from AI can help us understand the dynamics of evolution, including macroevolution, extinction, and competition among species. You'll learn about the challenges of evolutionary data, the nuances of causality, and the importance of experimental versus observational approaches. This episode is perfect for anyone curious about how the principles of evolution can inform AI strategies and vice versa. Tune in to gain a fresh perspective on the intersection of these two fascinating fields! Don't miss it—listen now on Podcasts 4 Brainport!