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Show notes:
Raia and I discuss her work at DeepMind figuring out how to build robots using deep reinforcement learning to do things like navigate cities and generalize intelligent behaviors across different tasks. We also talk about challenges specific for embodied AI (robots), how much of it takes inspiration from neuroscience, and lots more.
Galit and I discuss the independent roles of prediction and explanation in scientific models, their history and eventual separation in the philosophy of science,...
In this second part of my discussion with Wolfgang (check out the first part), we talk about spiking neural networks in general, principles of...
Kyle and I talk about his work modeling the basal ganglia and its circuitry to control whether we take an action and how we...
