Undermind's discovery process tracks the number of papers on a specific topic and ensures all have been found, making it 10-50x more accurate and comprehensive than Google Scholar. It sources its 200+ million articles from the Semantic Scholar database, covering all fields of science. The use of Undermind's deep search is said to drastically improve the quality of research.
Key takeaways:
- Undermind offers a deep scientific search engine that can understand complex topics and provide highly accurate results.
- The search engine uses language models to automate systematic and thorough literature searches.
- Undermind's results are 10-50x more accurate and comprehensive compared to Google Scholar, making it a valuable tool for researchers.
- The search engine has access to over 200+ million articles covering all fields of science, sourced from the Semantic Scholar database.