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Semanticscholar
Semanticscholar

Semanticscholar

Efficiently explore the scientific literature.
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Description

This artificial intelligence, developed by Ai2, offers a free and powerful search tool called Semantic Scholar to explore the scientific literature. With the ability to search 221,686,047 articles from various fields of science, this software offers its users an enhanced experience thanks to Semantic Reader, a beta version that makes scientific reading more accessible and contextually enriched. Semantic Scholar stands out not only for its advanced search features but also for an interface that welcomes developers via a API enhanced including document search, more complete documentation and increased stability. Join the beta program to build scholarly applications by leveraging the software's vast database. Resources such as tutorials and an API gallery are also available to promote smooth and efficient integration. Engage with a growing community that uses Semantic Scholar to advance research while minimizing the carbon footprint, thereby supporting inclusivity and sustainable innovation in the field of artificial intelligence.

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€/month
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€/month
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A demo
When using
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€/month
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A demo

Features

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Web app

Features

Optimized access to scientific documentation

This feature offers users easily navigable access to a vast database of scientific documents. By leveraging the artificial intelligence, it simplifies the search for relevant articles, thereby increasing the efficiency of research activities.

Augmented reading tool for publications

Thanks to the integration of augmented reading, users benefit from an enriched experience that highlights contexts and key details in real time. This innovative approach makes it easier to assimilate complex information, making scientific studies more accessible and interactive.

Enhanced API for developers

This update provides developers with improved access to document search via a stable and well-documented API. Ideal for creators of academic applications, this resource enables integrating advanced features into various digital tools, thereby enriching the ecosystems of technological research.

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