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Reading 
Reading 
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https://huggingface.co/papers/2212.11279
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2212.11279
https://huggingface.co/papers/2212.11279
Annotated History of Modern AI and Deep Learning (2212.11279)
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 by Jürgen Schmidhuber.
 by Jürgen Schmidhuber.
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new_line
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From the abstract: "A modern history of AI will emphasize breakthroughs outside of the focus of traditional AI text books, in particular, mathematical foundations of today's NNs such as the chain rule (1676), the first NNs (linear regression, circa 1800), and the first working deep learners (1965-)."
From the abstract: "A modern history of AI will emphasize breakthroughs outside of the focus of traditional AI text books, in particular, mathematical foundations of today's NNs such as the chain rule (1676), the first NNs (linear regression, circa 1800), and the first working deep learners (1965-)."
Reading https://huggingface.co/papers/2212.11279 by Jürgen Schmidhuber.

From the abstract: "A modern history of AI will emphasize breakthroughs outside of the focus of traditional AI text books, in particular, mathematical foundations of today's NNs such as the chain rule (1676), the first NNs (linear regression, circa 1800), and the first working deep learners (1965-)."