Collection of Best papers in Computer Science conferences since 1996

An interesting historical resource and one for getting general insights on the trends - good job for the authors of the list. I notice that it's missing the AGI conference though, if it counts as CS.https://jeffhuang.com/best_paper_awards.html?fbclid=IwAR0Yc_0K689o8OhmfB0oUI5VKcWg6bg3MuG95yHgcyIc8TU5ItkMw4IzKj4Thanks to the source: https://www.facebook.com/groups/MontrealAI/permalink/63141919398658...

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Neural Networks are Also Symbolic - Conceptual Confusions in ANN-Symbolic Terminology

Todor's remark to: G.H. - On the Nature of Intelligence  on Creative Destruction Lab Публикуван на 1.11.2018 г. This talk is from the Creative Destruction Lab's fourth annual conference, "Machine Learning and the Market for Intelligence", hosted at the University of Toronto's Rotman School of Management on October 23, 2018. https://youtu.be/MhvfhKnEIqM The Hinton's message that there should be processing at different time scales is correct, but yet known and obvious. In my "school" it's about working at different resolutions...

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DeepCode's Martin Vechev's recent interview

An interview from March 2019 on code synthesis, automatic code reviews and suggestions for improvement etc. and the product they already offer: https://sifted.eu/articles/ai-is-coming-for-your-coding-job/ Demo for tensorflow suggestions As of Vechev's claims in the end about what is hard to be automated (maybe in order not to offend the developers too much), and the explanations that sophisticated software such as Word Processors, 25 or 45 million lines of code etc. are not supposed to be coded automatically in another related...

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