AI的下一站：从技术破壁到产业共融

Core Insights - The article discusses the transition of the AI industry towards practical applications, emphasizing the importance of hardware, computing power, and real-world scenarios in driving AI commercialization [2][3] - The Chinese AI core industry has surpassed 1.3 trillion yuan, reflecting a growth of approximately 28% compared to 2024, indicating a shift from technical competition to efficiency in real-world applications [2] - The upcoming "AI Hui Ju · Chuang Ling Xin Ju" event aims to explore deep integration within the AI industry, featuring prominent figures from investment, industry, and academia [2][3] Group 1: AI Technology and Applications - The first step in AI application is perception, with advancements in machine vision and multi-modal sensing becoming crucial for intelligent systems to understand the physical world [4] - Innovations like the "stretchable multi-modal flexible electronic skin" developed by Tu Jian Technology enable robots to not only "see" but also "touch" and "sense," enhancing physical interaction capabilities [4] - The integration of perception, imagination, and execution is essential for robots to perform non-standard tasks, exemplified by HyperBrain EAI system from Haibolian [5] Group 2: Material and Knowledge Breakthroughs - Long-term AI development relies on breakthroughs in foundational materials and the construction of knowledge systems, with companies like Gai Chuang Future focusing on fourth-generation semiconductor materials [6] - New Research Materials aims to shorten R&D cycles through an "AI for Science" approach, driving industry upgrades from the ground up [6] - The trend indicates that mere technological breakthroughs are insufficient; future winners will be those who can integrate sensing, control, materials, and knowledge into real industry ecosystems [6] Group 3: Industry Ecosystem and Collaboration - The event emphasizes the need for collaboration within the industry ecosystem to create sustainable business barriers, with companies' technological value heavily dependent on their integration within the supply chain [8] - The AI closed-door roadshow on October 30 in Beijing will explore how AI transitions from laboratories to production lines across various sectors, focusing on supply chain matching and sustainable business models [8] - The future of AI is seen as one of co-creation and integration, with expectations for a collaborative effort to develop a new blueprint for industry implementation [9][10]