Annotated history of modern AI and deep neural networks
Jürgen Schmidhuber, “Annotated history of modern AI and deep neural networks”. arXiv:2212.11279v1 (submitted 21 December 2022). A retrospective history; secondary for the events it reports.
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- No authorship claim recorded yet. The source records list Jürgen Schmidhuber and Juergen Schmidhuber.
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- Annotated history of modern AI and deep neural networks (arXiv:2212.11279v1) arXiv · published 2022-12-21 · Retrieved for the candidate pack on 2026-10-29 (SHA-256 a3608b5a66fb4ffc30ccabc3f0302b7cdfef6140538e9cbba2ec013e23798c0b). arXiv version 1 (Technical Report IDSIA-22-22 v1), a print of the HTML version dated 21/12/2022.
- Annotated history of modern AI and deep neural networks (arXiv abstract page) arXiv · published 2022-12-21 · Retrieved for the candidate pack on 2026-10-29 (SHA-256 ae46496219e65981a4bd724dd7434fb154e402080ff4b63dd613af762363ba00). arXiv abstract page with submission history, as served on 2026-10-29.
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- Multi-Valued and Universal Binary Neurons: Theory, Learning and ApplicationsAccording to Schmidhuber's 2022 history, the term "deep learning" was introduced to neural networks by Aizenberg et al. (2000).2022-12-21 · event · Stated in source · Supported Inspect claim & evidence ↗Multi-Valued and Universal Binary Neurons: Theory, Learning and Applications: document page →
- Learning While Searching in Constraint-Satisfaction-ProblemsAccording to Schmidhuber's 2022 history, the term "deep learning" was first introduced to machine learning by Dechter (1986).2022-12-21 · event · Stated in source · Supported Inspect claim & evidence ↗Learning While Searching in Constraint-Satisfaction-Problems: document page →
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