WIPO Technology Trends report on artificial intelligence

WIPO Technology Trends report on artificial intelligence

SCIENCE-MINER is dedicated to the development of Open Source tools for Technical and Scientific Information, with a focus on Open Science. We develop and exploit state-of-the-art machine learning techniques, for instance with GROBID, entity-fishing and DeLFT, that can make possible new usages and approaches to scientific information in a reliable and scalable manner. As an opportunity to put machine learning and scientific information in a larger perspective, we participated recently to the WIPO Technology Trends report on artificial intelligence, together with CNRS Innovation, where we analyzed scholar and patent literature on AI back to the 1950s. We identified nearly 340,000 AI-related patent families, over 1.6 million relevant scientific publications, and also considered market trends related to AI (data on acquisitions, funding, open source and patent litigation and oppositions). The team analyzes this corpus against various criteria, such as time, geographical distribution, techniques, application fields, public/private sectors, etc. to better understand how research and development on AI have evolved over time and to measure its current booming – 50 percent of all AI patents have been published in just the last five years. To our knowledge, it is the first time that such a comprehensive and heterogeneous corpus was exploited to better analyze trends in Artificial Intelligence and we hope that this vast quantitative analysis will be helpful for future AI studies. We introduced 103 thematic AI clusters and sub-clusters and considered several hundred classes from the three main patent classification schemes (CPC, IPC and FI/F-Terms) combined with hundred of terms/synonyms to organize the identified publications at a meaningful level of granularity. A detailed background paper is available, describing the...