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华泰股份:公司全资子公司瞬捷数字科技(山东)有限公司聚焦造纸行业实际场景落地AI技术
Zheng Quan Ri Bao Zhi Sheng· 2026-01-16 15:15
Core Viewpoint - Huatai Co., Ltd. is leveraging AI technology in the paper industry through its wholly-owned subsidiary, Shunjie Digital Technology (Shandong) Co., Ltd., creating a specialized corpus and industry model for practical applications [1] Group 1: AI Technology Integration - The company focuses on implementing AI technology in real-world scenarios within the paper industry [1] - It has developed core applications such as industry brain, digital twin factories, and AR digital workshops [1] - The integration of AI algorithms with production, supply chain, logistics, and equipment maintenance is emphasized [1] Group 2: Data Analysis and Decision-Making - The company utilizes data analysis, reasoning, and decision-making to achieve specific functions and address practical industry challenges [1] - This approach leads to a mature application model that combines AI technology with the paper industry [1]
以大模型系统化创新推动“人工智能+”行动走深向实
Xin Lang Cai Jing· 2025-09-16 00:02
Core Viewpoint - The State Council has issued the "Opinions on Deepening the Implementation of 'Artificial Intelligence+' Action," marking a new phase in the systematic promotion and deep integration of artificial intelligence with the economy and society [1] Group 1: Systematic Promotion of AI - The issuance of the Opinions signifies a shift towards a systematic approach in advancing artificial intelligence, aiming to transform China's industrial scale, data resources, and application scenarios into national intelligent advantages [1] - The implementation will focus on systematic innovation, emphasizing the collaboration of technology, industry, and mechanisms, with key breakthroughs in frontier areas such as industrial models and embodied intelligence [1] Group 2: Scientific Large Models - The Opinions prioritize "Artificial Intelligence + Science and Technology," highlighting the importance of solid scientific foundations for technological breakthroughs and global competitiveness [2] - Scientific large models are crucial for the intersection of artificial intelligence and basic sciences, showing disruptive potential in fields like protein structure prediction and new material discovery [2] - There is a recommendation to support the development of large models addressing major scientific issues and to establish collaborative platforms among high-level research institutions, universities, and enterprises [2] Group 3: Industrial Large Models - The transition from general large models to industrial large models is reshaping research and development modes across various industries, enhancing understanding of complex business scenarios [3] - Industrial large models can accelerate technological insights and knowledge discovery, optimizing research and development routes through intelligent analysis of global patents and technical reports [3] - The Opinions emphasize the need for integrated development of technology research, engineering realization, and product landing, with industrial large models being a key driver [3][4] Group 4: Low-altitude and Embodied Intelligence Models - Low-altitude economy and embodied intelligence are identified as critical areas for technological application, expected to significantly impact China's economic transformation [5] - Low-altitude large models will serve as core infrastructure for the intelligent upgrade of the low-altitude economy, integrating various domain knowledge for enhanced environmental perception and risk warning capabilities [6] - Embodied intelligence models are essential for bridging virtual intelligence and the physical world, focusing on developing models that support complex task planning and human-machine collaboration [6] Group 5: Collaborative Innovation System - The establishment of a collaborative innovation system is crucial for advancing the "Artificial Intelligence+" initiative, with a focus on foundational research and intelligent infrastructure [7] - There is a strong emphasis on interdisciplinary integration and the creation of collaborative research platforms to address major scientific and engineering challenges [7] - The development of a governance framework covering the entire lifecycle of large models is necessary to ensure compliance and safety in sensitive areas like low-altitude economy and medical AI [7] Group 6: Future Directions - The issuance of the Opinions is expected to accelerate the robust development of "Artificial Intelligence+" in China, with a continued focus on key areas such as scientific large models and industrial applications [8]