AI tool scours all the science on the web to find new knowledge

It’s the proverbial needle in a haystack. The more information there is online, the easier it is to overlook the most important. Now an automated tool has been set the Herculean task of mining every science paper it can find online to help researchers come up with new ideas. Semantic Scholar, which launches today from the Seattle-based Allen Institute for Artificial Intelligence (AI2), can automatically read, digest and categorise findings from the estimated 2 million scientific papers published each year. Up to half of these papers are never read by more than three people. The system aims to identify previously overlooked connections and information. “Our vision is of a scientist’s apprentice, giving researchers a very powerful way to analyse what’s going on in their field,” says Oren Etzioni, director of…


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