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AI-assisted patent prior art searching - feasibility study

Setchi, Rossi ORCID: and Spasic, Irena ORCID: 2020. AI-assisted patent prior art searching - feasibility study. The Intellectual Property Office. Available at:

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This study seeks to understand the feasibility, technical complexities and effectiveness of using artificial intelligence (AI) solutions to improve operational processes of registering IP rights. The Intellectual Property Office commissioned Cardiff University to undertake this research. The research was funded through the BEIS Regulators’ Pioneer Fund (RPF). The RPF fund was set up to help address barriers to innovation in the UK economy.

Item Type: Monograph (UNSPECIFIED)
Date Type: Publication
Status: Published
Schools: Engineering
Computer Science & Informatics
Data Innovation Research Institute (DIURI)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Publisher: The Intellectual Property Office
ISBN: 9781910790809
Date of First Compliant Deposit: 4 June 2020
Last Modified: 06 Jul 2023 10:10

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