Semantic Scholar disrupts academic research with AI power
A decade ago, a small team at the Allen Institute for AI asked a simple question: what if a search engine could actually read? The answer changed how millions of researchers navigate 200 million scientific papers.
On a November morning in 2015, a research team at the Allen Institute for Artificial Intelligence quietly released a tool that would eventually index more than 200 million scientific papers. The release attracted little attention outside Seattle. But the question the team had asked was audacious: what if a search engine could understand what a paper actually says, not just whether certain words appear on its pages? The answer, over the following decade, reshaped how scholars discover research. The Problem Nobody...
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