Tag Archives: UNSILO

UNSILO AI in academic publishing survey released

(1 Nov 2019)  Today, UNSILO has released the results of a survey on AI usage in academic publishing. How is it used? What factors impede its adoption? More than 3,000 new academic journal articles are published every day, and yet many of the tools for processing content through the academic workflow are frequently very manually […]


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OECD confirms deal to use AI-based UNSILO Classify for Sustainable Development Goals collections

(26 Sep 2019)  UNSILO and the Organisation for Economic Co-operation and Development (OECD) this week confirmed a multi-year partnership using UNSILO AI tools. The partnership, which was successfully trialled last year, is to improve content discovery and collection-building of thousands of reports, papers and data available on the OECD’s iLibrary publishing platform, using UNSILO’s artificial […]


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Cambridge University Press and UNSILO partner to deliver AI-based related links

(16 Sep 2019)  Cambridge University Press, one of the world’s largest and most prestigious academic publishers, and UNSILO, Denmark-based AI company, today signed an agreement by which UNSILO will use machine-learning tools to identify related content across around one million journal articles and book chapters from the vast Cambridge corpus. UNSILO applies machine learning and […]


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Wiley and UNSILO will pilot AI to transform how manuscripts are submitted and screened

(23 May 2019) John Wiley and Sons Inc. (NYSE:JWa) (NYSE:JWb) and UNSILO have partnered in a pilot to boost researcher capacity for simplified submission and screening of research content using UNSILO’s artificial intelligence tools. An increasing amount of time is spent by authors, editors, and reviewers on submitting and screening research for publication – rather […]


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BMJ and UNSILO partner to create AI-based subject collections

(4 January 2019)  Today, BMJ and UNSILO announce an agreement by which UNSILO will supply its market-leading concept extraction tools across the whole of BMJ content. UNSILO applies machine learning and AI tools to identify significant concepts from a corpus of text. These concepts form the basis of a wide range of solutions to publishing workflows, including […]


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OECD trials with UNSILO a new way to build subject collections

(25 January 2018, Paris, France / Aarhus, Denmark) UNSILO and the Organisation for Economic Co-operation and Development (OECD) have worked together on a proof of concept designed to improve content discovery and collection-building from the hundreds of  thousands of books and papers available on the OECD Publishing platform, using UNSILO’s artificial intelligence technology. The solution […]


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Karger Publishers partners with UNSILO machine learning for content enrichment

(23 March 2017, Aarhus, Denmark) UNSILO and Karger Publishers signed an agreement to create a number of artificial intelligence-based content enrichment solutions for its growing range of digital biomedical content services. The new solutions will be based on UNSILO’s unique concept extraction engine, which uses machine learning to identify core concepts in scientific book chapters […]


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