Core Insights - The 25th China International Industry Fair showcased the highest concentration of AI technologies in history, indicating a significant penetration of AI across the entire manufacturing value chain [1] - The current enthusiasm for industrial AI mirrors the early days of the Industry 4.0 wave, characterized by hopes for efficiency and productivity improvements alongside rational concerns [1] - Industrial AI is not a new concept; it has evolved from early expert systems to machine learning, with recent advancements driven by large models [1][2] - The integration of AI in industrial settings faces challenges, particularly in data, industry knowledge, and the complexity of real-world scenarios [2][4] Company Developments - Siemens presented over 20 AI-powered products and solutions at the fair, including the Industrial Copilot system, emphasizing that the main limitation for industrial AI deployment is not the algorithms but the data and complexity of scenarios [2] - ABB introduced the OmniCoreTM EyeMotion vision system and online automatic path planning technology, enhancing robot autonomy significantly, although AI still faces reliability issues in high-precision industrial applications [2][3] - ABB's strategic investment in LandingAI aims to enhance the training speed of its AI vision systems by up to 80%, indicating a commitment to integrating advanced AI technologies into its robotics software [3] Industry Perspectives - Schneider Electric highlighted the vast potential applications of AI in the industrial sector, noting that the unique nature of industrial data poses challenges for effective AI model training [4] - The current state of AI in industrial applications is primarily supportive rather than central to decision-making, with AI providing optimization strategies that require conventional models for accurate execution [5] - China is positioned as a fertile ground for industrial AI development, with a high density of industrial robots and a strong acceptance of AI innovations, leading to a rich environment for training and application [5]

Core Viewpoint - The article discusses the future of AI and embodied intelligence, emphasizing the need for disruptive innovation to enable generalized action capabilities and the transition from technical feasibility to commercial success [2][4]. Group 1: Embodied Intelligence Development - The concept of embodied intelligence has evolved from simply giving machines a physical body to creating immersive perception processes [6]. - Current challenges in the field include data bottlenecks, which can be addressed through the establishment of training grounds that enhance robustness and generalization capabilities [7]. - The industry is witnessing a surge in the construction of training grounds, which offer benefits such as cost reduction, safety simulation, and unified standards [7]. Group 2: Data Collection and Utilization - Training grounds are described as new data factories in the AI era, crucial for collecting data to train embodied intelligence models [8][10]. - The development paradigm has shifted to a model where data collection occurs post-robot development, emphasizing the importance of large datasets for effective training [10][11]. - The use of synthetic data is highlighted as a viable solution to the challenges of obtaining real-world data, allowing for scalable and controllable training processes [18][19]. Group 3: Future Prospects and Challenges - The industry is exploring various paths for embodied intelligence, including the integration of real-world data and simulation data to enhance model performance [30][31]. - Discussions on the potential of humanoid robots reveal that while they may not be the only form of embodied intelligence, their development is crucial for achieving broader applications [34][35]. - The timeline for the integration of embodied intelligence into daily life is projected to be gradual, with significant advancements expected in the next 5 to 10 years [38]. Group 4: Industry Collaboration and Ecosystem - The need for collaboration across the industry is emphasized, with calls for the establishment of a robust ecosystem to support the development of embodied intelligence [48][49]. - Various stakeholders express the importance of integrating hardware and software capabilities to enhance the overall effectiveness of embodied intelligence solutions [47][49]. - The article concludes with a vision for a future where embodied intelligence significantly transforms industries and daily life, driven by collective efforts from academia and industry [51].

Core Insights - The concept of "Agent" has transitioned from being a topic of debate to a critical focus in the AI industry, as evidenced by its prominence at WAIC 2025, where over 800 companies showcased more than 3000 exhibits, doubling previous years' participation [1][2] Trend Summaries Trend 1: Agents as a Necessity - The term "Agent" has become ubiquitous across various exhibitors, indicating a widespread recognition of its importance in AI applications [2] - Siemens showcased its Industrial Copilot system, which integrates AI to enhance industrial processes, demonstrating the practical application of Agents in real-time operations [4] Trend 2: Evolution of AI Capabilities - AI is evolving from a mere chat tool to a more creative and productive tool, with companies like MiniMax highlighting the shift towards Agents that can perform complex tasks autonomously [5] - The AutoGLM model from Zhiyu AI exemplifies this trend by autonomously executing various tasks, indicating a move towards more interactive and capable AI systems [5] Trend 3: Multi-Agent Collaboration - The shift from single-agent systems to multi-agent collaboration is seen as a key to tackling complex tasks, with companies demonstrating how multiple Agents can work together to enhance efficiency [7] - The transition from "tool thinking" to "collaborative partner thinking" reflects a deeper integration of AI capabilities into business processes [7] Trend 4: Results Over Services - The focus has shifted from showcasing features to delivering tangible results, with companies prioritizing practical solutions that meet user needs [9][11] - MiniMax's Agent demonstrates the ability to execute tasks efficiently, highlighting the importance of outcome-oriented AI solutions [9] Trend 5: Rise of Consumer Products - The explosion of consumer-oriented AI products at WAIC 2025 signifies a new phase in AI development, where Agents are recognized as essential software products in the digital landscape [14] - WPS Lingxi, a standout product, showcases the ability to facilitate document creation through natural language processing, emphasizing user-friendly AI applications [14] Trend 6: Infrastructure Development for Agents - The foundational infrastructure for Agents is being strengthened, with companies like Alibaba Cloud introducing solutions like "Wuying AgentBay" to streamline AI development [16] - PPIO's launch of an Agentic AI infrastructure service platform aims to lower technical barriers for developers, facilitating broader adoption of AI technologies [17]

Core Viewpoint - The article emphasizes that artificial intelligence (AI) has transitioned from being an abstract concept to a tangible force that is increasingly penetrating everyday life, showcasing a significant shift towards practical applications and user engagement in the AI sector [21][23][70]. Group 1: Event Overview - The World Artificial Intelligence Conference (WAIC) attracted a record number of attendees, with an estimated 350,000 visitors, including 156 purchasing groups from over ten countries [4][12]. - The event implemented strict entry protocols, requiring advance ticket purchases and identity verification, reflecting the high demand and interest in AI technologies [5][6]. Group 2: AI Applications and Trends - The focus of AI development has shifted from merely enhancing computational power to applying AI in real-world scenarios, with companies competing to convert technology into productivity [10][21]. - The exhibition featured a wide array of robots capable of performing various tasks, indicating a growing interest in practical applications of robotics in everyday life [10][11][12]. Group 3: User Engagement and Market Response - Ordinary visitors showed significant interest in AI technologies, with many expressing a desire for more affordable robotic solutions after witnessing their capabilities [8][11]. - The popularity of AI products, such as smart glasses, highlights a trend where consumers are eager to engage with and utilize advanced technologies in practical settings [17][19][68]. Group 4: Industrial AI and Future Prospects - Industrial AI is gaining traction, with a focus on enhancing efficiency and flexibility in manufacturing processes, as evidenced by the introduction of systems like the Industrial Copilot, which can improve production efficiency by up to 50% [39][41][36]. - The article suggests that the future of AI will involve deeper integration into various industries, emphasizing the importance of collaboration and open-source initiatives to bridge the technological divide [28][30][31]. Group 5: Global Collaboration and Governance - The Chinese government proposed the establishment of a global AI cooperation organization, aiming to foster international collaboration and address ethical and governance challenges in AI development [30][31]. - The conference underscored the need for a unified approach to AI governance, promoting standards and ethical guidelines to ensure responsible AI deployment [47][48].

Group 1 - The 2025 World Artificial Intelligence Conference (WAIC 2025) will be held in Shanghai from July 26 to 28, showcasing Siemens' commitment to integrating generative AI technology into industrial scenarios, focusing on "Industrial Foundation Models" and "Industrial Intelligent Agents" [1] - Siemens presented its full value chain AI innovations and the latest Industrial Copilot intelligent agent system, demonstrating multiple "AI+" scenarios across manufacturing, energy, and building sectors [1] - Siemens' Global Executive Vice President, CEO of Siemens China, Xiaosong, emphasized that the era of industrial AI has begun, with China's diverse industrial system becoming a vibrant application scene for AI, driving a new wave of productivity leap [1] Group 2 - Siemens is accelerating the development of the foundational elements of AI, specifically the Industrial Foundation Model, aimed at the industrial world [2] - The company has been actively investing in the industrial AI sector, planning to establish a complete industrial AI ecosystem through strategic acquisitions and partnerships by 2025 [2] - Siemens aims to empower industry chain partners and customers to explore the limitless possibilities of industrial AI [2]

Core Insights - Siemens showcased its Industrial Copilot system at the 2025 World Artificial Intelligence Conference, which integrates large language models with industry knowledge to autonomously execute complex industrial processes, potentially increasing production efficiency by up to 50% for clients [1][2] Group 1: System Features - The Industrial Copilot represents an upgrade in AI applications within the industrial sector, evolving from a passive assistant to an active agent capable of sensing, analyzing, deciding, and executing complete workflows [1] - The system features a unique architecture that separates the user interface from the backend execution agent, allowing for flexible task management and maintaining user control over task delegation [1] Group 2: Operational Capabilities - Engineers can issue voice commands such as "add new order," enabling the system to autonomously manage production line resources and complete the entire process from order input to logistics scheduling without additional programming [2] - The system has been integrated into various industrial processes, including design (NX CAD), planning (generative AI analysis), engineering (TIA Portal for PLC code generation), operations (Insights Hub), and maintenance (Maintenance Copilot Senseye) [2] Group 3: Market Adoption - Over 200 companies globally have deployed the Industrial Copilot for tasks such as equipment installation, program debugging, and troubleshooting, significantly reducing task completion times from hours to minutes through deep data analysis and automated solution generation [2]

Group 1 - The 2025 World Artificial Intelligence Conference (WAIC) opened in Shanghai, showcasing cutting-edge AI achievements from top global tech companies [1] - The "Treasure of the Museum" award was given to eight notable AI products, including Huawei's Ascend 384 super node and Ant Technology's AI Health Manager AQ [1][2] - Over 600 companies participated in the exhibition, presenting more than 3,000 exhibits, with only eight items recognized as "Treasures of the Museum" [1] Group 2 - Ant Technology's AI Health Manager AQ has served over 100 million users since its trial run in September last year, providing health advice and expert-like diagnostic capabilities [2] - iFlytek's AI Learning Machine, another "Treasure of the Museum," offers personalized learning experiences for students across all educational stages [2] - Baidu's new digital human technology, NOVA, achieved a GMV of 55 million in a live stream and is set to be available to the public in October, enabling users to replicate professional live-streaming capabilities [2][3] Group 3 - Huawei showcased the Ascend 384 super node for the first time, highlighting its innovative computing capabilities and open-source hardware and software ecosystem [3] - Kuaishou's AI-generated video technology received an innovation award, while other companies were recognized for their advancements in AI models and applications [3]

Group 1 - The 2025 World Artificial Intelligence Conference (WAIC) has commenced, featuring the unveiling of eight significant "treasures" in AI technology [1] - Huawei's Ascend 384 super node showcases powerful computing capabilities, while Alibaba Cloud's Bailian Intelligent Platform is noted for its exceptional data processing abilities [1] - Kingsoft Office's WPS Lingxi leads the trend of intelligent office solutions, and Ant Technology's AI Health Manager AQ is recognized for its health management features [1] - iFlytek's AI Learning Machine brings innovation to the education sector, and OPPO's OPPO Fine N5 demonstrates cutting-edge design in smart devices [1] - Siemens' Industrial Copilot sets a new benchmark for industrial intelligence, and the WAIC Skills Stage offers a unique interactive experience [1] Group 2 - The WAIC also awarded several prestigious prizes, including the Innovation Technology Award to Kuaishou for its AI-generated video technology, which merges AI with video creation [5] - The Application Practice Award was given to Jiyue Xingchen for its next-generation intelligent cockpit, showcasing the broad application prospects of AI in the automotive sector [5] - Yuanwo Intelligent's RWKV-7 efficient AI model architecture received the Future Star Award for its forward-looking design concept [5] - Chapter Zero One Information Technology's foresight AI won the Internet Popularity Award due to its high popularity [5]

Core Insights - The 2025 World Artificial Intelligence Conference (WAIC) commenced on July 26, 2025, in Shanghai, focusing on the theme "Intelligent Era, Shared Future" [1] - The conference aims to position itself as a global hub for AI, fostering innovation and collaboration within the AI ecosystem [1] Exhibition Highlights - The exhibition area exceeded 70,000 square meters, featuring over 800 companies and more than 3,000 cutting-edge products, marking the largest scale in history [2] - Notable exhibits included 40 large models, 50 AI terminal products, and 60 intelligent robots, with many products making their global or national debut [2] - Siemens showcased its Industrial Copilot intelligent system, allowing attendees to experience its capabilities in real production scenarios [2] Industry Growth - According to iResearch, China's AI industry is projected to grow from 213.7 billion yuan in 2022 to 269.7 billion yuan in 2024, with an average growth rate of 25.7% [3] - By the end of 2025, the market size is expected to reach 352.2 billion yuan, indicating AI's increasing integration into various sectors [3] Autonomous Driving Developments - The conference featured an autonomous driving experience with L4-level smart connected vehicles, showcasing advancements in the industry [4] - Shanghai is accelerating the development of smart transportation, with plans to issue demonstration operation licenses for intelligent connected vehicles during the conference [4] Shanghai AI Ecosystem - The number of AI companies in Shanghai has surged from approximately 1,000 in 2018 to over 10,000 in 2025, with employment rising from 100,000 to nearly 300,000 [5] - The industry scale is expected to exceed 400 billion yuan by 2024, highlighting the rapid growth of the AI sector in Shanghai [5] Global Collaboration and Governance - The conference will host numerous forums focusing on AI infrastructure, intelligent terminals, and new industrialization, promoting international dialogue on AI advancements [7] - Initiatives such as the "International AI Open Source Cooperation Initiative" aim to foster global collaboration in AI technology and governance [8] - China is increasingly playing a significant role in establishing international cooperation frameworks for AI capability building [8]

Group 1 - The 2025 World Artificial Intelligence Conference (WAIC 2025) will be held in Shanghai from July 26 to 29, with preparations progressing smoothly [1][3] - The exhibition area will exceed 70,000 square meters for the first time, featuring over 800 global companies and more than 3,000 cutting-edge exhibits [3][4] - The conference will include nearly 150 forums focusing on ten key areas such as AI infrastructure, intelligent terminals, and AI in finance and healthcare [3][4] Group 2 - Key discussions will revolve around the "Model Question," "Mathematics Question," and "Science Question," exploring topics like model architecture innovation and AI's relationship with foundational sciences [4] - Notable attendees include over 1,200 guests from more than 30 countries, including 12 Nobel Prize and Turing Award winners, and over 80 academicians [4][8] - The event will feature innovative activities like the AI City Walk route and the introduction of the intelligent assistant "Hi! WAIC" to enhance attendee experience [4][8] Group 3 - Companies like Jieyue Xingchen and SenseTime will showcase new multimodal models and AI products across various applications, including finance and content creation [6][7] - Ant Group will present its latest AI applications in healthcare and finance, emphasizing over 100 AI functionalities for public health management [8] - Siemens will debut its Industrial Copilot intelligent system, integrating AI into the entire value chain from design to operation [9]