Ryota and I discuss his two goals – to implement the functions of consciousness, and to figure out how to measure whether a given system (human, AI, etc) has consciousness. We also talk about his paper implementing curiosity and empowerment as intrinsic motivation in a reinforcement learning AI agent. Plus much more.
Terry and I talk about his new book, The Deep Learning Revolution, about the past, present, and future of deep learning. Plus his super-popular online course Learning How To Learn with Barbara Oakley.
Konrad and I discuss his work automatically detecting potential image fraud in scientific papers, his take on consciousness, and plenty more.
Dileep and I talk about how his company, Vicarious, aims to create general artificial intelligence for robots, using tons of inspiration from brain structure and function. We also discuss his recent graphical model that, among other things, breaks CAPTCHAs with very few training examples.
Niko and I discuss cognitive computational neuroscience as an emerging fusion between cognitive science, computational neuroscience, and artificial intelligence – and how it all fits together. Plus we talk about the conference by that name.