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Iris AI drastically expedites research through the power of artificial intelligence

Posted By on October 26, 2016 in Written Content | 0 comments

Iris AI drastically expedites research through the power of artificial intelligence

There are more than 30 million research papers out there, and more than 3,000 papers are published every day. Put simply, you havent a chance in hell to readall of them. So whats a poor researcher to do when set a challenge in a brand new field of research? Once the wave of blind panic and urge to drink copious amounts of gin has dissipated, you reach for a technology solution.Irisbelieves it has just the thing. The company launched a public beta to showoff its technology this week.

Were of course really excited with the first results, says Anita Schjll Brede, the companys CEO. But to be honest were running a marathon here. Our ultimate goal is an AI Scientist and were not done until we get there!

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The Iris AI cross-European team at 500 Nordics demo day. Anita Schjll Brede, the companys CEO, is third from the left.

With a product aimed at people who read research papers on a regular basis, Iris is trying to help R&D departments in big corporations ingest, process and analyze huge sets of data. The argument is that, especially when doing research into new fields, even experienced researchers dont necessarily know the appropriate keywords to be looking for. Iris takes that problem out of the equation by analyzing and summarizing information.

Our biggest competitor is Google Scholar, saysBrede, but points out that Scholar has a similar problem as most other research tools. If you have dedicated your life to a niche field of study, you probably know everything that is happening in your field. If you need to draw information from adjacent fields of study or even a brand new field, it can be a daunting challenge to get an overview.

The tool is deceptively simple. By giving Iris a research paper to read, itreads the abstract, maps out the key concepts and presents the user with the most relevant articles from more than 30 millionopen access papers. The results are visualized, explorable and help to quickly create an overview of the field of study. From there, researchers can dive deeper.

Read more: https://techcrunch.com/2016/10/25/iris-ai-for-science/