Semantic Scholar
Semantic Scholar uses groundbreaking AI and engineering to understand the semantics of scientific literature to help Scholars discover relevant resear
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. We are a Research and Product Development team within Ai2 building a better way to search and discover scientific knowledge. With Semantic Scholar, researchers can understand a paper at a glance. Our system extracts meaning and identifies connections from within papers, then surfaces these insights to help Scholars discover and understand research. Our Values reflect who we are, why we are building Semantic Scholar, and guide us through hard decisions. We are motivated to use AI in novel ways for a dramatic impact. Tackling our problems with AI not only helps our community, it also improves the quality of our AI research by grounding it in real-world application. Scientific knowledge should be available to everyone. We recognize that the status quo disproportionately benefits certain groups of scholars over others. As a non-profit, we evaluate the impact of our choices and pursue directions that help balance the scales. Collaboration makes us stronger. We make a conscious effort to collaborate with our teammates, and by doing so, we will both improve the quality of our work and distribute the burden of support. We are small, but mighty. We stand behind our convictions when we believe they are the right direction, even if that is a more difficult path. We question what has been done historically, never satisfied with the status quo. We aim to gain knowledge sooner by starting conversations early and by prototyping our ideas quickly. When we realize a path we have chosen is not working, we are willing to recognize it openly and do the work to learn from it. We aim to establish a higher standard for applying AI in a trustworthy and transparent way. By educating and building trust in our AI-driven solutions, we will foster a community who are invested in our success and patient with our mistakes. We provide a free, reliable source of scholarly data for developers to build projects that accelerate scientific progress. Reach millions of scholars by integrating your academic content into Semantic Scholar's knowledge graph Join our Beta Program to provide feedback and help scholars around the globe Download logos, illustrations, and brand guidelines
Research Rabbit
Accelerate your literature reviews with ResearchRabbit – explore, organize, visualize, and stay up-to-date.
Based on these social mentions, users view Research Rabbit AI primarily through YouTube content, though specific user feedback isn't detailed in the provided data. The tool appears to be gaining attention in AI research contexts, with users discussing it alongside other AI research and coding tools. Users seem to be exploring Research Rabbit as part of broader AI agent workflows and research automation systems, suggesting it's being integrated into more comprehensive AI-powered research pipelines. However, without detailed reviews, it's difficult to assess specific strengths, complaints, or pricing sentiment from this limited social mention data.
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