Tag: Audience: ML
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Numbers without a Zero — Representation in the Brain
There is a mystery at the heart of computational neuroscience. It concerns the nature of representation and raises questions from abstract algebra. This post is about the brain, but it has implications for how we think about ML. You probably know that “neural networks” originally took inspiration from biological networks of actual wet, squishy neurons,…
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Diversity of Mechanism in the 👁️👁️
A theme of this blog is that intelligent behavior of humans, animals, and AI systems is made up of mechanisms that we can understand individually. It’s commonly understood that the mechanisms of artificial intelligence mirror the functionality that we find in biological behavioral systems like the brain, but I find that computer scientists underestimate the…