Research from Kobe University Broadens Understanding of Machine Learning (A Topi c Modeling Approach to Determine Supply Chain Management Priorities Enabled by D igital Twin Technology)
Research from Kobe University Broadens Understanding of Machine Learning (A Topi c Modeling Approach to Determine Supply Chain Management Priorities Enabled by D igital Twin Technology)
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Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligenc e is the subject of a new report. According to news originating from Kobe, Japan , by NewsRx correspondents, research stated, “This paper examines scientific pap ers in the field of digital twins to explore the different areas of application in supply chains.” Financial supporters for this research include Jsps Kakenhi. Our news editors obtained a quote from the research from Kobe University: “Using a machine learningbased topic modeling approach, this study aims to provide in sights into the key areas of supply chain management that benefit from digital t win capabilities. The research findings highlight key priorities in the areas of infrastructure, construction, business, technology, manufacturing, blockchain, and agriculture, providing a comprehensive perspective.”
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