- Two Minute Papers - short videos showcasing the latest and greatest AI research.
- Fermat’s Library Journal Club is a platform for illuminating academic papers.
- the morning paper presents an interesting/influential/important paper from the world of CS every weekday morning.
- SciRate is a free and open access scientific collaboration network.
- Papers We Love papers from the computer science community to read and discuss.
Kevin Kelly on understanding technical papers:
The best way I’ve found to understand a very technical or scientific paper is to search YouTube for someone to explain it. The ideal is to find a journal club report. Journal clubs are informal groups who share the task of explaining an interesting paper to each other. Each member rotates in picking a paper to explain to their peers. This is 100 times better than having the author explain it, because authors assume too much prior knowledge. It is better to have a newbie who just figured it out. If you are lucky, a journal club will video their reports and post. Search YouTube with the paper’s title or topic and add the term “journal club.”
{% hint style="warning" %} Create a new bookmark. Paste the code below in the URL box. When you are on a site with a paper behind a paywall, click on the new bookmark you've created. It's a quicker way of typing http://sci-hub.tw/ in front of the article's URL. {% endhint %}
javascript:(function(){window.location.href = "http://sci-hub.tw/"+window.location.href;})();
I don't use sci-hub unless the paper was financed through public means and ended up behind a paywall.
- The Dark Rule Utilitarian Argument for Science Piracy by Scott Alexander
- How to read science papers: How to read an academic article, How to read and understand a scientific paper, Advice on reading academic papers, Should I Read Papers?
- arXiv Vanity renders academic papers from arXiv as responsive web pages so you don’t have to squint at a PDF.
- How I Research by Aceso Under Glass
- Awesome Research Tools
- Academic Torrents - a distributed system for sharing enormous datasets - for researchers, by researchers.