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Jess and I discuss construction using graph neural networks. She makes AI agents that build structures to solve tasks in a simulated blocks and glue world using graph neural networks and deep reinforcement learning. We also discuss her work modeling mental simulation in humans and how it could be implemented in machines, and plenty more.
Show notes:
Support the show to get full episodes, full archive, and join the Discord community. The Transmitter is an online publication that aims to deliver...
Jim and I discuss his reverse engineering approach to visual intelligence, using deep models optimized to perform object recognition tasks. We talk about the...
Support the show to get full episodes, full archive, and join the Discord community. The Transmitter is an online publication that aims to deliver...