AI science search engines expand their reach

Stuart Isett/Polaris/eyevine The AI-based ‘Semantic Scholar’ is led by Oren Etzioni, chief executive of the Allen Institute for Artificial Intelligence in Seattle, Washington. A free AI-based scholarly search engine that aims to outdo Google Scholar is expanding its corpus of papers to cover some 10 million research articles in computer science and neuroscience, its creators announced on 11 November. Since its launch last year, it has been joined by several other AI-based academic search engines, most notably a relaunched effort from computing giant Microsoft. Semantic Scholar, from the non-profit Allen Institute for Artificial Intelligence (AI2) in Seattle, Washington, unveiled its new format at the Society for Neuroscience annual meeting in San Diego. Some scientists who were given an early view of the site are impressed. “This is a game changer,”…


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