首页|Studies from University of Queensland Further Understanding of Machine Learning (The Yin Yang of Ai: Exploring How Commercial and Non-commercial Orientations Sh ape Machine Learning Innovation)
Studies from University of Queensland Further Understanding of Machine Learning (The Yin Yang of Ai: Exploring How Commercial and Non-commercial Orientations Sh ape Machine Learning Innovation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting out of St. Lucia, Australia, by NewsRx ed itors, the research stated, “The scale of the potential implications of machine learning (ML) has prompted discussions on the issues of corporate control and te chnological openness. However, how commercial and non -commercially oriented org anisations each contribute to ML progress remains an open question.” Our news journalists obtained a quote from the research from the University of Q ueensland, “This study uses the recombinant innovation perspective as a lens to explore recombinant patterns across projects in an open source software (OSS) en vironment - where a great deal of ML innovation occurs - and assess how commerci al orientation influences such patterns. It builds on a unique dataset containin g data on 28,443 OSS projects, their code dependencies and the organisations own ing them. Exploratory analyses reveal that ML projects combine larger and more d iverse components, and produce more atypical combinations in shorter timeframes than other OSS projects, and that both company and non -company owned ML project s contribute to such recombinant atypicality. Regression analyses indicate that company owned ML projects tend to rely more on distant combinations of technical knowledge, whereas non -company owned ML projects tend to produce more novel co mbinations of application ideas.”
St. LuciaAustraliaAustralia and New ZealandCyborgsEmerging TechnologiesGeneticsMachine LearningUniversity of Queensland
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