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Iris.ai and CORE cooperate to build AI Chemist

Catherine Kuliavets, Tuesday 22 February 2022 | Annotate
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CORE and Iris.ai are extremely pleased to announce the initiation of a new research collaboration funded by the Norwegian Research Council.

Discovering scientific insights about a specific topic is challenging, particularly in an area like chemistry which is one of the top-five most published fields with over 11 million publications and 307,000 patents. The team at Iris.ai have spent the last 5 years building an award-winning AI engine for scientific text understanding. Their patented algorithms for identifying text similarity, extracting tabular data, and creating domain-specific entity representations mean they are world leaders in this domain. 

Follow this link and read the full blog post about this cooperation on the Jisc Research blog.



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CORE

The world's largest collection of open access research papers

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CORE - COnnecting REpositories

Linking semantically similar publications from Open Access repositories using text mining from full-text and representing the relations as Linked Data

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