An academic search engine that utilizes artificial intelligence methods to provide highly relevant results and novel tools to filter them with ease. Semantic Scholar is a project that uses machine learning and natural language processing to analyze scientific journal articles. It helps researchers find better publications faster and explore figures, entities, and venues from papers. Semantic Scholar is an AI-powered research tool that lets you search through scientific literature and academic papers. Developed by the Allen Institute for AI, this free platform utilizes AI to analyze and understand the semantics of over 220 million scientific papers across various fields. About Semantic Scholar is an AI-powered research tool developed by the Allen Institute for AI, designed to help users efficiently search and access scientific literature. It provides a platform that covers over 224,835,568 papers from various scientific fields. With features like an enhanced API for developers and the new Semantic Reader, it aims to revolutionize the way scientific research is accessed by offering more accessible and contextual reading experiences. The tool is free and ...
