-- On July 8, Dr. Yan Jun, Chairman and Chief Innovation Officer of AICT(Artificial Intelligent Interconnection Technology Co., Ltd.), was invited to the "Underlying Capabilities for New Growth" Forum at the Leap East Summit held in Hong Kong. He shared insights on core industry topics including opportunities for Chinese AI enterprises expanding to the Middle East, core strengths of Chinese companies, and challenges of global deployment. Combining the company’s practical application of “the high-precision physical AI and the integration of green energy computing technology”, he delivered an in-depth interpretation of the development philosophy and global value of high-precision physical AI.
Leap East Summit is co-hosted by the Ministry of Communications and Information Technology of Saudi Arabia and the Innovation, Technology and Industry Bureau of the Hong Kong. As the inaugural Asia edition of Saudi Arabia’s flagship tech event LEAP, the event aims to build bridges for technology, venture capital and enterprises between Asia and the Middle East, and serves as a core hub for linking hard-tech industries of the two regions.
High-Precision Physical AI Focuses on Real Demands of the Physical World
At present, statistical AI remains the mainstream of the global AI industry. Driven by massive data training and computing clusters, it fits standardized, logic-intensive and soft closed-loop digital online scenarios. However, real physical spaces for comprehensive governance feature highly dynamic, complex and heavily interfered environments, which traps traditional AI in deployment dilemmas including insufficient accuracy and poor stability. This is also a core pain point widely encountered in smart city spatial governance across the Middle East and the world.
"Statistical AI seeks solutions in the digital world, while high-precision physical AI solves real-world problems — this represents the ultimate value of AI development," Dr. Yan Jun stated in his speech. He pointed out that the next round of new growth for the AI industry will not merely revolve around cutthroat competition over algorithm model parameters, but deeper implementation in physical spaces.
In Dr. Yan’s view, statistical AI, plagued by inaccurate perception, disjointed decision-making and ineffective real-world deployment, cannot fundamentally resolve core pain points of AI application in the real economy. In contrast, high-precision physical AI breaks away from the inherent framework of data statistics and virtual deduction. Centered on high-precision spatial perception and real-time edge computing, it directly addresses practical challenges in the physical world marked by high complexity, strong interference, rigid demand, repetitive workload and heavy manual labor. It strengthens AI from limitations of online Q&A and data analysis, and expands the boundaries of AI applications. It can be deeply embedded in diverse and complex physical scenarios such as traffic road networks, roadside spaces, park management and urban governance, generating tangible industrial value through precise perception, local decision-making and real-time execution. This also constitutes the core growth logic for the global AI industry to shift from digital empowerment to physical entity empowerment.
Dr. Yan believes that backed by its Vision 2030 initiative, the Middle East keeps increasing investment in new city construction, comprehensive traffic networks and smart infrastructure, making it the most reliable overseas market for Chinese AI enterprises. Unlike traditional information-based renovation, the Middle East market demands integrated AI solutions adaptable to complex outdoor environments with balanced perception accuracy and green energy efficiency. Up to now, AICT has deployed high-precision physical AI perception products and the integration of green energy computing technologies in Dubai. Tailored to the regional and energy characteristics of the Middle East, distributed terminals realize roadside traffic condition sensing, incident identification and local control, upgrading the intelligent management capacity of local urban traffic.
"Comprehensive AI infrastructure adaptable to diverse environments should not be mere demonstrative pilot projects. Instead, it needs to operate stably around the clock over long cycles in real environments — this is the innate strength of high-precision physical AI," Dr. Yan stressed.
Large-Scale AI Application Across Full Scenarios: Core Competitive Moat for Chinese Enterprises Going Global
At the forum, "Why Gulf Countries Are Accelerating Cooperation with Chinese AI Enterprises" became a focus topic of discussion. Compared with overseas manufacturers, the differentiated competitiveness of Chinese AI companies does not lie in costs, but in their full-stack closed-loop technologies and large-scale cross-scenario application capabilities verified across multiple global regions — core strengths most valued by the Middle East market.
"The Middle East market has long left the era of low-price bidding. What we deliver to clients is not only hardware, but also intelligent infrastructure systems that deliver long-term empowerment, as well as replicable, iterable and self-governing long-term operation capabilities," said Dr. Yan. The biggest advantage of Chinese AI enterprises lies in their fully closed-loop system integrating technology, products, scenarios and operations, forming replicable large-scale deployment capacity — a competitive moat inaccessible to many overseas pure algorithm firms. The extreme climate in the Middle East imposes stringent requirements on heat dissipation, energy consumption and anti-interference perception of outdoor terminals. The product adaptability and large-scale delivery capabilities refined by Chinese enterprises through years of practice in diverse real-world scenarios are most valued by Gulf countries.
Dr. Yan introduced that thanks to long-term investment in high-precision physical AI, AICT has accumulated exclusive capabilities for multi-environment adaptation and mass deployment. The company has built a complete architecture consisting of the Green Vision product portfolio, the AI Station network, the distributed green-energy storage and edge-computing systems, the AI Station OS, and the closed-loop agent operations.It holds over 1,600 global core patents and more than 1,000 self-developed AI algorithms. Its full lineup of AI products covers all scenarios including roadside facilities, intersections, road networks and integrated parking-charging stations. Serving more than 70 cities and regional markets worldwide, the products have passed commercial verification in domestic cities including Beijing, Shanghai, Guangzhou, Shenzhen, Hong Kong and Macao, as well as Vietnam, Indonesia, the UAE and other regions.
"AICT was the first to put forward the development philosophy of high-precision physical AI, which fundamentally follows the general industry trend of AI shifting from digital virtual deduction to physical entity empowerment. Relying on distributed green energy storage-computing systems, we deeply integrate AI perception, edge computing power and green energy storage. This addresses pain points of insufficient accuracy and poor stability when traditional AI is deployed in complex scenarios, while aligning with global industrial demands for low-carbon computing and edge intelligence. It enables AI technology to fully adapt to large-scale deployment across all physical spaces, forming the core value anchor of AI empowering physical spaces," Dr. Yan stated. The company will continue replicating its mature deployment experience, promote high-precision physical AI technology and distributed green energy storage-computing networks globally, advance the construction of intelligent infrastructure for the real world, and spread intelligence to every corner of the physical world.
Contact Info:
Name: Jinna Wu
Email: Send Email
Organization: Artificial Intelligent Interconnection Technology Co., Ltd.
Website: https://www.aict.net/
Release ID: 89197507
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