2020: A Year Full of Amazing AI Papers - A Review

A curated list of the latest breakthroughs in AI in 2020 by release date with a clear video explanation, link to a more in-depth article, and code.

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 explanationlink to a more in-depth article, and code (if applicable). Enjoy the read, and let me know if I missed any important papers in the comments, or by contacting me directly on LinkedIn!

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

Access the complete list in a GitHub repository

Tag the author on Twitter (@Whats_AI) or LinkedIn (Louis (What’s AI) Bouchard) if you share the article!

Watch a complete 2020 rewind in 15 minutes

YOLOv4: Optimal Speed and Accuracy of Object Detection [1]

Click here for the Yolo v4 code

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