Join us in Atlanta on April 10th and explore the landscape of security workforce. We will explore the vision, benefits, and use cases of AI for security teams. Request an invite here.
Some studies suggest that the number of scientific papers published in English each year exceeds 3 million, which amounts to thousands per day. Perhaps unsurprisingly, it’s estimated that only half of those papers are ever read by anyone other than the author (or coauthors) and the publishing journal’s editors.
To help sift through the deluge, The Allen Institute for Artificial Intelligence — the research organization founded by late Microsoft cofounder Paul Allen — released Semantic Scholar in 2015, a public search engine that uses a combination of machine learning, natural language processing, and machine vision to highlight figures from and identify connections among computer science and biomedicine journal papers. Over two million users have adopted Semantic Scholar to date to analyze the academic literature, surfacing phenomena from male bias in clinical studies to the accelerating pace of China’s AI research. And now, the Allen Institute hopes to lay the semantic groundwork for the next few million users to come.
Semantic Scholar previously spanned 40 million total research papers, plus associated blog items, news reports, videos, and other resources. But starting this week, it’s more than tripling its reach to over 175 million papers in all fields of science, including natural sciences like biology, chemistry, geology, materials science, and medicine physics; social sciences including art, business, economics, geography, history, philosophy, political science, psychology, and sociology; and formal/interdisciplinary sciences such as computer science, engineering, environmental science, and mathematics. According to the Allen Institute, the expansion makes Semantic Scholar the world’s most comprehensive search engine for locating academic content.
“Scientific research is not advanced by search engines that operate in the same way that we use them today to shop for goods, find restaurants or look-up a news article,” said Allen Institute general manager Doug Raymond. “Successful scientific search must utilize AI to understand scientific papers and then enable researchers to go far beyond keywords to find the right information. This is what we have built with Semantic Scholar. We are now at a critical point in history where every scientist now has a powerful, free AI search engine at their fingertips.”