Semantic Scholar Utilizes Artificial Intelligence Methods to Transform Scientific Search for …

SEATTLE, Nov. 2, 2015 /PRNewswire/ — The Allen Institute for Artificial Intelligence (AI2) today officially launched its free Semantic Scholar service, which will allow scientific researchers to quickly cull through the millions of scientific papers published each year to find those most relevant to their work. Leveraging AI2’s expertise in data mining, natural-language processing and computer vision, Semantic Scholar provides an AI-enhanced way to quickly search and discover information. At launch, the system searches over three million computer science papers, and will add scientific categories on an ongoing basis.Photo – http://photos.prnewswire.com/prnh/20151029/281999″No one can keep up with the explosive growth of scientific literature,” said Dr. Oren Etzioni, CEO at AI2. “Which papers are most relevant? Which are considered the highest quality? Is anyone else working on this specific or related problem? Now,…


Link to Full Article: Semantic Scholar Utilizes Artificial Intelligence Methods to Transform Scientific Search for …