2020: A Year Full of Amazing AI papers- A Review Machine Learning Times – The Predictive Analytics Times

Posted: January 1, 2021 at 9:51 am

Originally published in GitHub.com.

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, andcode

Even with everything that happened in the world this year, we still had the chance to see a lot of amazing research come out. Especially in the field of artificial intelligence. More, many important aspects were highlighted this year, like the ethical aspects, important biases, and much more. Artificial intelligence and our understanding of the human brain and its link to AI is constantly evolving, showing promising applications in the soon future.

Here are the most interesting research papers of the year, in case you missed any of them. In short, it is basically a curated list of the latest breakthroughs in AI and Data Science by release date with a clear video explanation, link to a more in-depth article, and code (if applicable). Enjoy the read!

The complete reference to each paper is listed at the end of this repository.

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2020: A Year Full of Amazing AI papers- A Review Machine Learning Times - The Predictive Analytics Times

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