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This paper identifies and measures AI-related developments in science, algorithms and technologies using information from scientific publications, open source software (OSS) and patents. A three-pronged approach relying on established bibliometric and patent-based methods, and machine learning (ML) implemented on purposely collected OSS data, unveils a marked increase of AI-related developments over time. Since 2015, AIrelated publications increased at 23% a year; in 2014-18, OSS commits related to AI grew about three times as other OSS contributions; in 2017 the share of AI-related IP5 patent families averaged more than 2.3%. The growing role of China in the AI space emerges throughout.