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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:
photo courtesy of adam fields Show notes: Nathaniel will deliver a keynote address at the upcoming CCN conference.Check out his lab website.Follow him on...
Support the show to get full episodes and join the Discord community. Welcome to another special panel discussion episode. I was recently invited to...
It’s generally agreed machine learning and AI provide neuroscience with tools for analysis and theoretical principles to test in brains, but there is less...