The digital transformation of the manufacturing industry continues to deepen, and the demand for intelligent capabilities in industrial scenarios is constantly upgrading. Industrial AI and industrial chips serve as the underlying support of the intelligent manufacturing system, and their development is deeply linked, jointly reshaping the operational logic of modern industrial production. Industrial chips are the hardware carrier for the implementation and operation of industrial AI. Industrial AI algorithms continue to tap into the computing power potential of chip hardware, and the two promote each other, becoming a key sector in promoting industrial upgrading and ensuring the security of industrial and supply chains. The industrial scene has significant characteristics that distinguish it from the consumer electronics environment, such as high temperature, high humidity, strong electromagnetic interference, and continuous uninterrupted operation, which determine that industrial chips cannot simply reuse the design concept of consumer grade chips. Industrial chips cover various categories such as microcontrollers, industrial processors, sensor chips, and power chips, and are widely used in automated production lines, CNC machine tools, industrial robots, energy equipment, and other equipment. For a long time, the high-end industrial chip field has been characterized by high technological barriers, long research and development cycles, and slow investment returns. The accumulation of materials, manufacturing processes, and underlying IP cores is insufficient, which restricts the large-scale application of domestic industrial chips. With the advancement of intelligent manufacturing and changes in market demand, industrial chips are no longer just responsible for simple data collection and command control tasks, but also have to undertake local inference work for industrial AI models, which forces the continuous iteration of industrial chip architecture.

Industrial AI is a new type of productivity formed by the landing of artificial intelligence technology in the manufacturing industry. It relies on machine vision, time-series data analysis, digital twins, reinforcement learning and other technologies to empower factory production, equipment operation and maintenance, quality control, energy consumption scheduling and other links, becoming the core driving force for the digital transformation of the manufacturing industry. Unlike general artificial intelligence aimed at the consumer end, industrial AI is rooted in complex industrial sites and has strict requirements for real-time, stability, and safety. Algorithms must adapt to industrial multi-source heterogeneous data to meet the practical needs of continuous production line operations. The landing of industrial AI is mainly divided into two paths: cloud and edge. Cloud AI is suitable for large-scale data aggregation and analysis, model training, and global production optimization, while edge AI deploys lightweight models on on-site devices to complete data inference locally, reduce transmission latency, ensure production data security, and is more suitable for industrial real-time control scenarios. The current application has covered multiple fields; The time-series AI model collects vibration and temperature signals to achieve predictive maintenance of equipment and reduce losses caused by sudden shutdowns; In industries such as metallurgy and chemical engineering, AI optimizes process parameters in real-time, stabilizes product quality, and reduces energy consumption. With the continuous improvement of industrial data governance and the continuous strengthening of industrial chain collaboration, industrial AI will gradually extend from single point detection applications to full process intelligent decision-making, continuously improve manufacturing efficiency, and help promote high-quality development of the real economy.

In the long run, the integration of industrial AI and industrial chips is an inevitable trend in the development of intelligent manufacturing. The current industry development still faces multiple practical challenges. The fragmentation characteristics of industrial scenarios are prominent, with significant differences in processes across different industries and production lines. There is no universal AI model or chip solution that can adapt to all industrial scenarios. This makes product development costs high and large-scale replication difficult. The ecological construction of industrial chips is relatively weak, with incomplete supporting compilers and development toolchains. When algorithm engineers deploy industrial AI models on chips, the difficulty of porting is high and the debugging cycle is long. Most domestic industrial AI algorithms are developed based on overseas frameworks, with underlying dependencies and chip adaptation issues overlapping, further raising the threshold for implementation. At the same time, the industrial sector has a long verification cycle for new technologies, and factories have extremely high requirements for equipment stability. New chips and AI solutions need to undergo long-term on-site testing to gain market recognition, and the pace of market introduction is slow. There are also talent gaps, such as a shortage of composite talents who not only understand industrial processes but also master chip hardware and AI algorithms, which restricts the speed of technology implementation. The continuous breakthroughs in industrial AI and industrial chips can not only improve the production efficiency and product quality of the manufacturing industry, but also help consolidate the underlying software and hardware foundation of the domestic industry, enhance the independent and controllable ability of the industrial chain, and provide lasting impetus for the high-quality development of the real economy.

The 2027 China (Shanghai) International Industrial AI and Industrial Chip Exhibition adheres to the principles of specialization, internationalization, and branding, and strives to create an internationally influential industrial digital industry event. The exhibition gathers guidance and empowerment from government regulatory units, collaborative participation from industry authoritative institutions, and gathers high-quality resources from upstream and downstream of the industrial AI and industrial chip industry chain. Its brand awareness and industry influence continue to rise, and it has become a core communication and docking platform for industry enterprises to gain insight into cutting-edge technologies, analyze market development trends, showcase brand hard core strength, broaden business cooperation channels, and explore strategic win-win opportunities. With excellent exhibition results, precise supply-demand matching, and high-quality commercial services, the exhibition has gained widespread recognition and high praise from participating enterprises and manufacturing industry professionals. Based on the highland of opening up to the outside world in the Yangtze River Delta and the core advantages of advanced manufacturing industry agglomeration, the exhibition focuses on the digital transformation of the manufacturing industry, independent innovation of industrial chips, and the landing and application of industrial AI technology. It deeply cultivates core areas such as industrial edge chips, industrial processors, industrial big models, machine vision, digital twins, industrial data platforms, and industrial control security, and is committed to promoting the deep integration of high-quality products, core technologies, and integrated solutions in China's industrial AI and industrial chip fields into the global industrial supply chain system. Strengthen deep linkage with relevant enterprises from around the world, uphold the concept of mutual benefit and win-win, and jointly build a new pattern of industrial development.

At the same time as the exhibition, the National Industrial AI and Industrial Chip Innovation and Development Summit Forum will be held, focusing on in-depth discussions on hot topics such as policy interpretation of industrial control industry, domestic substitution innovation of high-end industrial chips, empowerment of industrial edge AI computing power, integration of intelligent manufacturing software and hardware, and construction of industrial AI industry ecosystem. The conference will invite industry leaders, authoritative experts, scholars from research institutions, representatives of top enterprises, and industry experts to gather on site. Through keynote speeches, roundtable dialogues, technology sharing, case exchanges, and other forms, the conference will focus on technological innovation, product iteration, and business model upgrading in the field of industrial AI and industrial chips, and deeply analyze the pain points of industrial development, domestic technology bottlenecks, and future development trends. The conference aims to build an integrated high-end communication platform for industry, academia, research and application, accelerate the transformation of cutting-edge technological achievements in industrial AI and industrial chips, and promote the standardization, normalization and intelligent upgrading of the domestic industrial AI and industrial chip industry. It provides authoritative industry information, cutting-edge technology empowerment and precise business docking opportunities for participating enterprises, research institutions and practitioners, and comprehensively supports the high-quality innovation and development of China's industrial AI and industrial chip industry.

1、 Industrial chips and core components:

Industrial control chip, industrial edge AI chip, industrial MCU, industrial processor FPGA、 Industrial NPU, power semiconductor chips, sensing chips, signal processing chips, storage chips, IP cores, EDA design tools; Semiconductor characteristic processes, advanced packaging and testing technologies and solutions, semiconductor equipment and key materials, embedded core modules, industrial carrier boards, industrial grade sensors and other underlying hardware products.

2、 Industrial edge computing power and industrial control hardware:

◆ Industrial edge computing platform, industrial AI industrial control host, embedded computing board, industrial gateway, industrial server, fanless industrial machine, distributed computing node, industrial human-computer interaction terminal, intelligent acquisition module, industrial communication module, industrial bus hardware, etc., low latency, highly reliable computing hardware products facing the factory site.

3、 Industrial AI technology and algorithm models:

Industrial large-scale models, lightweight industrial AI models, machine vision algorithms, time-series data analysis models, predictive maintenance algorithms, intelligent process optimization algorithms, digital twin models, AIGC industrial application solutions; Software technology achievements such as model quantification, operator development, model training and deployment toolchain, industrial AI development platform, MLOps industrial system, etc.

4、 Intelligent Manufacturing Integrated Software and Hardware Solution Zone:

Machine vision inspection system, industrial AI quality inspection equipment, AI industrial robots, intelligent sensing and monitoring systems, digital twin factory solutions, intelligent production line scheduling systems, overall equipment predictive maintenance solutions, intelligent process optimization systems, and intelligent solutions for discrete manufacturing and process industries.

5、 Industrial supporting services:

• Company:Shanghai Yewen Exhibition Service Co., Ltd
• Telephone:021-54388602
• Contact:Li Cheng
• Mobile:13122870856
• Address:No. 333 Songze Avenue, Qingpu District, Shanghai (North Gate of the Exhibition Hall)

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