Andreas Tolias, a Professor of Neuroscience at Baylor College of Medicine, discusses the shortcomings of learning algorithms compared to the brain. Topics include leveraging brain functions for AI advancement, data recording advancements in studying neuron activity, modeling the brain at various levels, data augmentation, bias, and brain-inspired learning in AI, challenges in bridging neuroscience and deep learning, and exciting directions in the intersection of biological systems and deep learning.