News Story
Iris.ai and CORE cooperate to build AI Chemist
Catherine Kuliavets, Tuesday 22 February 2022 | Annotate
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.
Related Links:
Connected
CORE - COnnecting REpositories
Linking semantically similar publications from Open Access repositories using text mining from full-text and representing the relations as Linked Data
Latest News
SPARC funds CORE in a new research project to enhance the discoverability of Open Access content
SoFAIR: CORE to Coordinate New Project to Facilitate the Reproducibility of research studies
