What is Semantic Scholar?

Semantic Scholar is a free and powerful AI-powered research tool designed to aggregate and organize scientific literature across diverse fields of science, including nanotechnology, computer science, biomedicine, and moral reasoning. Utilizing advanced artificial intelligence and engineering capabilities, Semantic Scholar comprehends the semantics of scientific research, enabling scholars to discover the most relevant publications efficiently.

The platform currently archives over 211 million scientific papers, providing users with unprecedented access to vast amounts of data and delivering valuable insights into cutting-edge research developments. Additionally, Semantic Scholar offers a beta program called Semantic Reader, which provides an augmented reading experience designed to make scientific literature more accessible, comprehensible, and informative.

Overall, Semantic Scholar serves as an invaluable resource for researchers, graduate students, academics, and anyone committed to staying current with the latest scientific advancements and breakthroughs across multiple disciplines.

Use Cases and Features

• Quickly search for scientific papers relevant to specific research topics across multiple disciplines.
• Discover the most relevant publications for particular fields of science using AI-driven recommendations.
• Utilize the Semantic Reader to gain enhanced understanding and deeper insights into scientific literature.