PIXABAY, GERALTLook out Google Scholar—there’s a new kid on the block. Semantic Scholar, a free, online tool developed under the guidance of Microsoft cofounder Paul Allen, is using machine learning and other aspects of artificial intelligence (AI) to make the monumental task of parsing the scientific literature less onerous. Launched last year, Semantic Scholar can now comb through 10 million published research papers, its creators announced last week (November 11). “This is a game changer,” Andrew Huberman, a neurobiologist at Stanford University not involved in the project, told Nature. “It leads you through what is otherwise a pretty dense jungle of information.”
When the nonprofit Allen Institute for Artificial Intelligence (AI2) launched Semantic Scholar last November, the search engine indexed 3 million published research articles in the field of computer science. The service now searches 10 million papers in both computer science and neuroscience. “Semantic Scholar puts AI at the service of the scientific community,” Oren Etzioni, chief executive officer of AI2, said in the statement. “The brain continues to mystify the scientific and medical research community and harbors some of the diseases that are the most challenging to cure. Our hope is that the field of neuroscience can benefit from AI methods to ensure the best and most relevant studies are easily queried so medical research can move with maximum speed and efficiency.”
The main benefit ...
