The National Institute of Industrial Property (INPI) of Brazil and CAS, a division of the American Chemical Society that specialises in scientific information solutions, have initiated a collaboration to speed the processing of patent applications at INPI by improving the efficiency of the patent examination process.
CAS will apply data from its human-curated content collection in a new artificial intelligence (AI) solution. The technology combines scoring similarity, workflow classification and knowledge-space exploration capabilities to uncover a reliable set of prior art, or previously published information relevant to the subject innovation, which expedites patent examiners' work.
As the new process is deployed, the INPI team will be able to significantly improve application pendency; however, this technology is likely to have broader implications. At a meeting in Brazil, Manuel Guzman, CAS President, commented that he believes the new technology can make a difference for patent pendency worldwide.
AI techniques, including graph database neighbours and other similarity and machine learning techniques are used to present examiners with a set of relevant publications to inform their evaluation of the application novelty and inventive step considerations.
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