Frank Rosenblatt

scientist · 9 mentions across 3 readings

In this course

Frank Rosenblatt was a US Air Force psychologist and AI pioneer who published foundational papers on the Perceptron, establishing neural networks as a central technology in machine learning that would eventually enable deep learning systems. The course readings trace his work as a crucial waypoint in AI history—his early neural network research represents a path not taken when the field pivoted toward symbolic AI in the 1960s, making his Perceptron both historically significant and conceptually important for understanding contemporary ML's "return" to connectionist approaches. His work thus matters for interrogating how AI's genealogy shapes what counts as innovation and how technological paradigms shift between competing visions of machine intelligence.

Mentioned in 3 readings

Minsky

Papert - from Perceptrons_ An Introduction to Computational Geometry

By the end of the 1950s, the field of neural-network research had become virtually dormant. In part this was because there had not been many important discoveries for a long time. But it was also partly because important advances in artific…Arthur Samuel’s two questions can help us see why perceptrons worked as well as they did. First, Rosenblatt’s credit-assignment method turned out to be as effective as any such method could be. When the answer is obtained, in effect, by add…had no way to represent the knowledge required for solving certain problems. The moral was that one simply cannot learn enough by studying learning by itself; one also has to understand the nature of what one wants to learn. This can be exp…

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I.J. Good

Speculations Concerning the First Ultraintelligent Machine

If we abandon interpretations of meaning in terms of linguistic transformations, such as dictionary definitions, or, in the case of statements, the two interpretations mentioned before; and if also we do not regard the behavioral interpreta…One of the advantages that an ultraintelligent machine would have over most men, with the possible exception of millionaires, would be that it could record all its experiences in detail, on photographic film or otherwise, together with an a…

Dan McQuillan

from Resisting AI, an Anti-fascist Approach to Artificial Intelligence

Deep learning is a kind of machine learning based on multi-layer neural networks. Neural networks may be the cutting edge of contemporary AI, but they are not a new technology. US Air Force research psychologist and AI pioneer Frank Rosenbl…

Appears alongside

People mentioned in the same passages — sorted by co-occurrence weight.

Donald Olding Hebb 2 Arthur Samuel 1