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“数智赋能、无限可能”——从第22届中国计算机大会看人工智能与经济社会深度融合
Xin Hua She· 2025-10-23 15:59
Core Insights - The 22nd China Computer Conference (CNCC2025) opened in Harbin, Heilongjiang Province, focusing on the integration of digital intelligence technology with economic and social development [1][3] Group 1: Artificial Intelligence Trends - The development of artificial intelligence is transitioning from computational intelligence and perceptual intelligence to cognitive intelligence, with future extensions towards behavioral and emotional intelligence, ultimately aiming for generalized strong intelligence [3] - The "Knowledge Forest" concept proposed by a research team has successfully organized fragmented knowledge and has been applied in civil engineering and test question generation [3] Group 2: Virtual Reality and AI Integration - The integration of artificial intelligence with virtual reality is expected to enhance production and daily life, with applications in manufacturing, healthcare, and education [3] - Virtual reality technology, which combines high-performance computing and graphics, can save significant time and costs in various fields, such as automotive destructive testing and medical simulations [3] Group 3: Industry Applications and Cost Savings - Huawei is exploring AI applications across multiple sectors, optimizing device interaction in consumer areas and improving quality, safety, and efficiency in industrial applications [4] - AI-enabled optimizations in steel production have resulted in annual cost savings of millions, with additional value generated in the rolling process [4] Group 4: Future Challenges and Collaborations - The next two to three decades will see accelerated movement towards an intelligent society, facing challenges in machine cognition and efficient creative intelligence [4] - Collaboration between hardware, software, and the industrial chain is crucial to address opportunities and challenges in AI development [4] - The rapid advancement of large models, particularly after the emergence of ChatGPT, is pushing AI capabilities closer to or beyond human levels in language and vision, while hardware challenges remain [4]