Speakers: Daniel Klingmann & Max Dietsch
In this talk, Senior Consultant Daniel Klingmann and Software Consultant Max Dietsch compare artificial intelligence with the human brain. To make complex ideas easy to grasp for people not familiar with AI, they use intuitive, everyday analogies that simplify key concepts. Their goal is to build an intuitive understanding of AI, highlight similarities and contrast the differences with human cognition.
Drawing on insights from neuroscience and AI research, the speakers illustrate how foundational architectural concepts, such as functional specialization and sparse activation, are directly mirrored in modern systems like Mixture-of-Experts (MoE) models. They go on to highlight striking parallels in how biological and artificial minds learn. Finally, they dive into how thoughts actually form – a process we still barely understand – and what's really going on beneath the surface during inference and internal representation.