
Want to stay current with the latest tech, but only have 5 minutes to spare each day?
No problem. Just browse our daily review, customized for you.
Every day, we crawl new papers published on major academic paper websites (like arxiv, medrxiv, pubmed) as well as hundreds of conferences/journals. We are eager to share the results with our subscribers on a daily basis! We sort papers by potential impact and generate a one sentence summary for each to capture the paper highlight. Our daily paper digest service started in May, 2018, and has been very well received in the community. Currently, more than 200 areas under the following subjects are tracked: Biology, Computer Science, EE and System Science, Finance, Health Science, Math, Physics, and Statistics.
Sign up for the Daily Paper Digest using your interested areas to get the daily paper update straight to your inbox. You can also choose not to receive emails and instead read the daily updates and daily reviews online.
Easy to Sign Up
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Sign Up Paper Digest.
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Sign in and then go to Account | Update Interests.
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Select your interests from dropdown menus and/or specify keywords and authors to track.
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Daily digest will be sent to your email daily and can also be accessed online.
Advanced Setting: Filter by Author and Keyword
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Our default setting is to send you all papers under the categories you signed up with. Many users can browse hundreds of papers everyday using the one-sentence highlight.
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If you do not have time to browse all papers, you can either filter papers using keywords on our console, or update the tracking list by including some authors and keywords.
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When time is limited, users can choose to read the papers that can pass the filters. Such papers are marked with * in email and put in a separate list (called tracking results) online.
example
John Smith signed up with 6 categories: cs.AI; cs.CL; cs.CV; cs.IR; cs.LG; cs.SI, and receive >100 papers under them. He also added two authors and two keywords to tracking list: Michael I. Jordan ; Huan Liu ; multi-task learning ; reinforcement learning’ and will receive ~10 papers in the tracking results. When John only has 5 minutes for reading on a day, he reads daily review.
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