Cut through the clutter

Explore peer-reviewed research from the world's most trusted sources

Semantic Scholar is a free, nonprofit, scientific search engine from AI2.

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How it works

papers

We've pulled over 40 million scientific papers from sources like PubMed, Nature, and ArXiv.

highlighted paper

Our AI analyzes research papers and pulls out authors, references, figures, and topics.

connected network

We link all of this information together into a comprehensive picture of cutting-edge research.

The potential of AI for scientific research

What if a cure for an intractable cancer is hidden within the results of thousands of clinical studies? We believe that in 20 years’ time, AI will be able to connect the dots between studies to identify hypotheses and suggest experiments that would otherwise be missed. That's why we're building Semantic Scholar and making it free and open to researchers everywhere.

Semantic Scholar is a project at the Allen Institute for Artificial Intelligence (AI2). AI2 was founded to conduct high-impact research and engineering in the field of artificial intelligence. We're funded by Paul Allen, Microsoft co-founder, and led by Dr. Oren Etzioni, a world-renowned researcher and professor in the field of artificial intelligence.

Work with us at AI2