Semantic Scholar is an AI-powered research tool designed to help researchers, scientists, and academics efficiently search and discover scientific literature. With a database of over 211 million papers, it provides a comprehensive platform for literature search across various scientific fields. Developed by the Allen Institute for AI, Semantic Scholar aims to enhance the efficiency and inclusivity of AI research while also reducing the carbon footprint associated with traditional research methods.
The platform offers several core features, including an API for developers to build custom Scholar apps, and a beta version of Semantic Reader, which augments the scientific reading experience by providing enhanced readability and comprehension tools. Semantic Scholar is a free tool, making it accessible to a wide range of users, from students to seasoned researchers. The platform is available on the web, ensuring easy access from anywhere. Its AI-driven search and discovery tools are designed to provide accurate and relevant results, making it an invaluable resource for anyone involved in scientific research.
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Seamless Science Literature Review Tool, Enhance your scientific research with Seamless Science, a cutting-edge AI tool that speeds up the literature review process by up to 100 times. By inputting a paper description, Seamless Science scours the Semantic Scholar database to find relevant papers and...
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Scireviewhub is an AI research assistant that revolutionizes the literature review process. With its powerful artificial intelligence technology, Scireviewhub sifts through thousands of scientific papers to identify relevant information that aligns with your research goals. Unlike traditional keywor...
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