Semantic Scholar is a free AI-powered research tool that aggregates scientific literature from various fields of science, including nanotechnology and moral reasoning, and uses AI and engineering to understand the semantics of the research to help scholars discover relevant publications. The platform currently archives over 211 million papers.
Also, the tool has a beta program, Semantic Reader, that provides an augmented reading experience to help increase accessibility and richness to scientific literature. Besides, Semantic Scholar has a newly improved API for developers, which allows searching for papers on the platform, better documentation, and improved stability.
Semantic Scholar was developed by the Allen Institute for AI, which focuses on creating efficiency in AI research to decrease carbon footprint and increase inclusivity. Researchers who use Semantic Scholar can sign up and stay connected to receive alerts about relevant papers, as well as receive updates about new features and releases.
The platform is open to publishers who want to contribute their research, and a team of expert researchers composes the Semantic Scholar team. The platform also offers a detailed FAQ section and tutorials to help users understand the tool’s full range of capabilities. Overall, Semantic Scholar is a highly useful research tool for scholars, allowing them to discover relevant scientific publications with the power of AI.
More details about Semanticscholar
What fields of science does Semantic Scholar specialize in?
Semantic Scholar specializes in scientific literature from all fields of science, including but not limited to areas like nanotechnology and moral reasoning.
What type of research can Semantic Scholar analyze?
Semantic Scholar can analyze research from various fields of science, including but not limited to nanotechnology and moral reasoning. It aggregates scientific literature on these and many other subjects to facilitate scholarly research, with its extensive library of over 211 million papers.
What is the Semantic Scholar team comprised of?
The Semantic Scholar team is composed of a team of expert researchers, indicating their professional competence in understanding, organizing, and making research literature accessible.
What is the Semantic Reader beta program?
The Semantic Reader beta program is an AI-powered tool that provides an augmented reading experience, making scientific literature more accessible and richly contextual. It is designed to revolutionize the way scientific reading is done.
How can researchers receive updates about new features in Semantic Scholar?
Researchers can receive updates about new features and releases in Semantic Scholar by signing up and staying connected to the platform. They can get alerts about relevant papers as well.
What is Semantic Scholar?
Semantic Scholar is a free, AI-powered research tool that efficiently analyzes and aggregates scientific literature from various fields of science. It utilizes advanced AI and engineering techniques to understand the semantics of scientific literature, aiding scholars in discovering relevant research publications.