Neuroscience and artificial intelligence work better together. I interview experts about their work at the interface of neuroscience and artificial intelligence. The symbiosis of the two fields, how they overlap, how they inform each other, where they differ, what the past brought us, and what the future brings. Topics include, supervised machine learning, unsupervised learning, reinforcement learning, deep learning, convolutional and recurrent neural networks, decision-making science, AI agents, backpropagation, credit assignment, neuroengineering, neuromorphics, consciousness, general AI, spiking neural networks, data science, and a lot more.