Semantic Scholar is a free AI-powered research tool that aggregates scientific literature from various fields, such as nanotechnology and moral reasoning. With over 211 million papers archived, it utilizes AI and engineering to understand research semantics, aiding scholars in discovering relevant publications. The platform offers a beta program, Semantic Reader, enhancing the reading experience for better accessibility to scientific literature.

Developed by the Allen Institute for AI, Semantic Scholar provides an improved API for developers, enabling efficient paper searches, enhanced documentation, and increased stability. Researchers can sign up to receive alerts on relevant papers, updates on new features, and releases. The platform is open to publishers, boasts a team of expert researchers, and provides detailed FAQs and tutorials for users.