Core Insights - The global AI industry is at a critical turning point, with China's core AI industry scale exceeding 1.3 trillion yuan, representing a growth of approximately 28% compared to 2024, shifting competition from "technical parameter comparison" to "scene landing efficiency" [1] - The AI industry is facing new challenges, including how to effectively integrate AI with the real economy, overcome computing power bottlenecks, and unlock the value of data through hardware [1] - The "AI Hui Ju · Chuang Ling Xin Ju" 2025 AI Innovation Roadshow Conference aims to explore deep integration within the AI industry, featuring prominent figures from industry, investment, and academia [1] Industry Trends - The conference is expected to serve as an "annual testing ground for technology commercialization," emphasizing the importance of practical application scenarios for AI technology [2] - Advances in machine vision and the development of multi-modal sensing technologies, such as the stretchable multi-modal flexible electronic skin by Tujian Technology, are crucial for enabling robots to interact with the physical world [2] - The integration of perception, imagination, and execution is essential for the successful deployment of intelligent systems, as demonstrated by HyperBrain EAI system and Cloud Brocade Micro's focus on AI brain development [2] Material and Technology Innovations - Galliant Future Semiconductor focuses on fourth-generation semiconductor materials, specifically gallium oxide, breaking through foreign restrictions and laying the foundation for high-efficiency power devices [3] - New Research Smart Materials is leveraging "AI for Science" to reconstruct material research logic, significantly shortening development cycles, which is vital for industry upgrades [3] - The future winners in the industry will be those who can integrate sensing, control, materials, and knowledge into real industrial ecosystems, as highlighted by the role of BOE Technology Group in fostering a strong industrial ecosystem [3] Ecosystem Development - The AI closed-door roadshow held on October 30 in Beijing is a deep exploration of the industrial ecosystem, focusing on how AI can transition from laboratories to production lines across various sectors [4] - Discussions will not only cover algorithm performance but also the alignment of supply chains, the rigidity of application scenarios, and the sustainability of business models [5] - The next phase for AI is characterized by co-creation and collaboration, aiming to develop a comprehensive blueprint for industry implementation following technological breakthroughs [5]

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]