AI-driven academic search engine for scientific papers.

Screenshot of Semantic Scholar

About Semantic Scholar

Semantic Scholar is an AI-powered tool designed to help researchers quickly find and understand scientific papers. It provides advanced search capabilities, paper recommendations, citation insights, and summary generation, saving researchers time while offering deep insights into academic fields.

Agentic

Developer
Allen Institute for AI
Added
57 days ago

Analytics

81
Impressions
8
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AI Agent Categories

Research Assistants

AI agents designed to support research activities by gathering relevant information, analyzing data, summarizing findings, and even generating hypotheses. These agents assist in academic research, market analysis, scientific studies, and more, helping researchers to save time and focus on critical aspects of their work.

Science

AI agents focused on advancing scientific research and discoveries across various fields, including biology, physics, chemistry, and environmental science. These agents assist in data analysis, simulation, hypothesis generation, and experimental design, helping researchers accelerate innovation and gain deeper insights.

Search Engines

AI agents designed to optimize, enhance, and automate search engine interactions. This includes content optimization, keyword analysis, and automated queries to improve search visibility.

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