Hefei, ChinaMay 21, 2026 /PRNewswire/ — On May 18, the signing and unveiling ceremony of the “IAI-Dahua Video IoT Intelligent Agent Joint Laboratory” was grandly held between the Hefei Comprehensive National Science Center Artificial Intelligence Research Institute (hereinafter referred to as the “AI Research Institute”) and Dahua Technology. Wu Feng, Member of the Standing Committee of the Party Committee and Vice President of the University of Science and Technology of China, Academician of the Chinese Academy of Engineering, and Executive Director of the AI Research Institute; Chen Li, Vice President of the AI Research Institute; Zhao Yuning, President of Dahua Technology; and Liu Ming, Senior Vice President and President of the R&D Center, along with other representatives from both institutions, attended the meeting and jointly witnessed the signing and unveiling ceremony.
Leaders from both sides jointly unveil the joint laboratory
Wu Feng pointed out that the AI Research Institute, as a national strategic scientific and technological force in the fields of brain-inspired intelligence and large models, joining forces with Dahua Technology is a vivid practice of “integrating theory and practice.” He expressed hope that both sides would use the joint laboratory as a bridge to deeply integrate cutting-edge research achievements with the most authentic industrial scenarios, produce influential original technological innovations, and promote the application of video IoT intelligent agent technology in fields such as education, healthcare, and manufacturing, jointly creating a benchmark for industry-academia-research integration that is domestically leading and industry-guiding.
Chen Li stated that the AI Research Institute is committed to becoming a source of original innovation at the national level, while Dahua Technology has deep expertise in the field of smart IoT sensing technology. The joint laboratory will focus on directions such as large-scale cross-temporal video deep cognition and smart campus and park data fusion computing, with key breakthroughs in three core technologies: multi-agent collaboration, optimized computing scheduling, and cross-temporal data-image fusion cognition, aiming to build a domestically leading “video + data + large model” collaborative innovation platform.
Zhao Yuning put forward three expectations for this collaboration: First, to closely align with market demands for collaborative research, focusing on breaking through key core technologies and building a self-controllable technological “moat” for the enterprise; second, to establish a regular project evaluation and dynamic adjustment mechanism, along with periodic joint expert seminars, to ensure the effective implementation of various collaborations; and third, to leverage platforms such as the “Postdoctoral High-Quality Employment Base” and the “Outstanding Engineer Base” to jointly cultivate high-level composite talents tailored to industry needs.
Liu Ming systematically elaborated on the core layout of this collaboration: comprehensively building core capabilities for large models, collaboratively tackling frontier key technologies, starting with campus scenarios and replicating them across multiple industries, jointly undertaking major provincial and ministerial-level projects, and fully promoting the transition of video IoT large models from the “laboratory” to “productization,” jointly serving the national AI strategy and industrial upgrade needs.
Looking ahead, both sides will fully leverage their respective advantages, continuously expand cooperation areas, innovate collaboration models, and promote the deep integration of technological innovation, talent cultivation, and achievement transformation. They aim to build a high-level demonstration platform for industry-academia-research collaboration, enabling cutting-edge technologies to better empower real-world scenarios and serve industrial upgrades, jointly fostering stable, long-term, and mutually beneficial cooperation.