The perceptron

Frank Rosenblatt builds a machine that learns to recognise simple patterns from examples instead of having every rule written for it.

Why it is in the museum

Here the basic questions of modern AI take shape: how can thought be described, how can a machine learn, and what does it mean for a machine to hold a convincing conversation?

What supports this exhibit

Primary scientific paper

The perceptron as a model that adjusts its parameters from examples.

Main source: Rosenblatt, F. (1958), Psychological Review 65(6), 386–408.

Open the source

What to keep in mind: Primary source.

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This small guide uses only the information documented on this exhibit page. If your question goes beyond that evidence, it will say so instead of inventing an answer.

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