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Episode 26: Sugandha Sharma, MIT, on biologically inspired neural architectures, how memories can be implemented, and control theory

Generally Intelligent

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Scaling Your Models Across Environments

I'm already thinking about running those models across environments and thinking about how you can use the same underlying grid across different environments. Conceptually, I think of this in terms of resetting the grid hole. So there's, you know, place cells are interacting with the sensory stimulants. And then once you are in an environment that looks remotely similar to what you've been in before, then you can re anchor your representation through place cells to reuse the same local map that you've had been in before. That makes us really crazy to have to relearn everything. The maps in the individual components are pretty. Are retained. Can you see? I see. You're still using the including

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