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How can AI ID a cat?


Neural networks power today’s AI boom. To understand them, all we need is a map, a cat and a few thousand dimensions.

Neural networks can also generate text with startling fluency, master complex games and solve problems in math and biology — all without any explicit instruction. Some classification tasks are much simpler than telling “cat” from “not cat.” Let’s consider a fanciful example involving two fictional regions, Triangle Territory and Square State. A single neuron works pretty well for our simple example, but only because the true border between Triangle Territory and Square State was close to a straight line.

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