Enabling the efficient exchange of scientific ideas in AI/ML

Reading scientific papers is hard!

If you are working in the field of AI, you are aware of how fast the pace of progress has become. With hundreds of new papers published every day, there are countless new ideas, methods, and architectures which move the whole field forward. If you want to keep your knowledge/project/job competitive, you have to at least follow the basics of new discoveries.

But reading those papers is not an easy job. Scientific papers are written by experts in their fields. They usually write information-dense texts which are sometimes not easy to fully grasp. This is especially true for newcomers who are just interested in following the latest advancements.

Even if you have been reading those papers for years, there are still struggles. It is not rare that new concepts that paper suggests are poorly explained or when authors assume that every reader has their knowledge and do not bother to go into the details.
To solve those problems we created Artigo.


Artigo is a platform that aims to enable the efficient reading of scientific papers. Currently, we are focusing on AI/ML papers.

If you think about it, there is no standardized place on the web for people to search for a paper, annotate it, read other’s suggestions or simply engage in the discussion. We decided to build the whole ecosystem for everyone interested in AI, be it either a student or an experienced data scientist.

First, we allow easy and efficient paper search from a couple of hundreds of papers. Each paper is represented by a card where each card has basic information about the paper such as title, abstract, date of release, and authors. By clicking on the card, the paper is shown on the new page.

Frontpage of artigopapers.io

On Artigo, every paper has a discussion where readers can ask whatever they need an explanation for, be it either an interpretation of specific detail or a general concept of the paper’s idea. Also, we offer Annotations, which are selected parts of the text, where readers can add a comment, pick a color or define custom tags for it. All annotations are available in the right sidebar where they can be reviewed, upvoted, or deleted.

But their biggest strength is that they can be shared with other readers. If a user decides, he can make an annotation public, which can help the next person who may have the same doubts, questions or answers.

Scientific article opened on of artigopapers.io with annotations

Other reading tools we found very practical are Notes where anyone can write and save longer texts that can be very useful for additional explanations of concepts or just for writing sum-ups. They support mathematical formulas or code snippets and can also be shared with the community.
To get the full overview of his activities, every user has his own Library where he can find all of his annotations, notes and comments. 

View of personal library containing a collection of scientific papers

The future of exchanging scientific ideas

This is just the first phase of what we plan to do. There is so much potential, we believe, in trying to make ideas from scientific papers accessible to everyone and we plan to add numerous new features to support that goal. At the same time, we are sure that the whole community can benefit from sharing and discussing a diverse set of ideas and opinions.If you would like to be a part of that journey, you can sign up for the Artigo Beta on our website: artigopapers.io.

We would like to hear your thoughts. suggestions and feedback so feel free to contact us and let us know what you think. Help us improve the exchange of scientific ideas!

WRITTEN BY Filip from artigopapers.io | LinkedIn | Twitter | Email