AlphaGalileo: Generative AI Paves New Way for Semantic Communication in 6G Networks
Semantic Scholar uses groundbreaking AI and engineering to understand the semantics of scientific literature to help Scholars discover relevant research.
Semantic Scholar providing infrastructure for the research ecosystem is exciting as it enables partners like Litmaps to focus on creating great experiences for end users. We found the Semantic Scholar API and bulk data, clear and straightforward to use. The documentation, examples, and easy access to the raw data allowed us to move quickly on data integration, and get back to solving problems ...
About Semantic Scholar Helping Scholars Discover New Insights Semantic Scholar provides free, AI-driven search and discovery tools, and open resources for the global research community. We index over 200 million academic papers sourced from publisher partnerships, data providers, and web crawls.
Semantic Scholar provides free, AI-driven research tools and open resources for all researchers. Search and cite any papers, manage your reading lists in your personal library, and get AI-powered paper recommendations just for you.
Semantic Scholar's corpus includes nearly 200 million academic papers across all domains, including biomedicine, computer science, business, history, and economics. Our system extracts key information from papers and presents it on the Paper Page for review. Learn how to: Browse videos, presentations, code libraries, and clinical trials
The Semantic Scholar REST API uses standard HTTP verbs, response codes, and authentication. This tutorial will teach you how to interact with the API by sending requests and analyzing the responses. All code examples are shown in Python. If you prefer a code-free experience, follow along using the Semantic Scholar Postman Collection, which lets you test out the API on Postman, a popular and ...