第五屆玉山與圖靈尤拉研討會

關於
玉山研討會
本次會議探討了AIoT(物聯網人工智慧)、智能製造和數位金融的強大融合——這些都是工業4.0革命的關鍵支柱。通過專家演講、小組討論和互動環節,我們將研究教育如何跟上這些快速發展領域的步伐。參與者將深入了解AIoT如何改變生產線,金融科技如何重塑工業交易和供應鏈,以及綜合技能發展如何為學習者準備一個以數據驅動、超連接的經濟未來。本次活動匯聚了教育工作者、行業領袖和技術專家,共同創建面向未來的教育路徑和勞動力轉型。本次玉山會議旨在解決這些挑戰並刺激相關領域進一步研究。在活動期間,將重點突出並深入討論主要問題及研究方向。
圖靈尤拉
TuringEular is a core member enterprise of TUMC, focused on guiding AI-driven transformation for businesses. Its central strategy is built around the "Plato Graph System" known as TheGAP—One-Graph, One-Array, One-Process—which serves as the digital brain of the enterprise. The One-Graph component maps out the enterprise’s product structure, acting as the core driver of its digital intelligence. The One-Array links the Q2 graph from Humboldt University and the Coursera graph, supporting both R&D and marketing talent development. Meanwhile, the One-Process uses the SEMA-ARCH/Aol system to integrate technology development with business models, covering a full innovation lifecycle from macroeconomic trends to product design, pricing, customer feedback, and regulatory compliance.
TuringEular utilizes modular knowledge units formed through the Plato Graph System to ensure knowledge can be sustainably inherited. These are organized under the 5MX5F framework—Mindset, Math, Model, Method, and Money—to simulate and manage flows of thought, logic, data, work, and capital within the enterprise. This allows for dynamic decision-making processes that reduce innovation risk and drive industrial transformation.
Furthermore, TuringEular supports founders and management teams in publishing eBooks that integrate the Plato system, turning their R&D and supply chain know-how into competitive assets within the TUMC platform. The system also enables a co-constructed enterprise brain network using terminal PKB accounts, serving as a quantifiable HR platform for recruiting and training AI-collaborative talent. Looking ahead, TuringEular plans to integrate generative AI into this system, building a "Metaverse of Digital Twin" to enhance talent training. Finally, through G2G (Graph-to-Graph) integration, core member enterprises form a collaborative AI-driven supply chain brain, fostering efficient industry-academic partnerships and strengthening global competitiveness in the Industry 4.0 era.
委員會
Scientific Program Committee
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Cathy Yi-Hsuan CHEN, Glasgow U, UK
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Qingfu LIU, Fudan U, CN
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Chuan-Ju WANG, Academia Sinica, TW
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Stefan LESSMANN, HU Berlin, DE
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Tian-Shye DAI, NYCU, TW
Local Organising Committee
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Wolfgang Karl Härdle (Yushan Fellow)
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Henry Horng-Shing LU, NYCU+ Kaoshiung University, TW
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Jenher JENG