Jiangsu Data Science and Cognitive Computational Engineering Centre
The AOA was established on the foundation of the Jiangsu Data Science and Cognitive Computational Engineering Centre , with the core philosophy of integrating industry and education, and fostering collaborative innovation. It combines academic research with industrial practice resources. The Academy is committed to advancing frontier research and innovation in artificial intelligence. Through an integrated industry-academia-research-application platform, it conducts high-level fundamental research and industrial application projects in artificial intelligence. Additionally, the academy actively organises a variety of events such as academic forums and industry summits, creating an open and collaborative innovation ecosystem for students, scholars, and industry partners, thereby significantly promoting breakthroughs in AI research and application.
In the context of the booming artificial intelligence industry, XJTLU collaborated with government and enterprises to strengthen university-industry links. Drawing on its expertise in artificial intelligence algorithms, big data analysis, virtual reality, and digital intelligence, the XJTLU Artificial Intelligence University Research Centre was honoured with the Jiangsu Data Science and Cognitive Computational Engineering Centre award in 2020 and successfully awarded the Suzhou Industrial Park Artificial Intelligence Innovation Enhancement Platform project in 2022.
Jiangsu Data Science and Cognitive Computational Engineering Centre adopts a management structure that integrates advisory boards, teaching committees, and international technical advisory committees. It integrates the high quality educational and research resources of XJTLU, fully leveraging its international characteristics and advantages. The institute is committed to strengthening the close connection between academic research in artificial intelligence and its related industries. Within the institute, there are three Suzhou Municipal Key Laboratories: the Suzhou Key Laboratory of Cognitive Computing Applications, the Suzhou Key Laboratory of New Energy Technology, and the Suzhou Key Laboratory of Intelligent Virtual Engineering. Additionally, it houses an Internet of Things Research Centre and a Laboratory for Intelligent Computing and Financial Technology. The Centre actively fosters an open, integrated, and innovative research atmosphere, fully supporting and encouraging innovative thinking and practical transformation among faculty and students, thereby aiding students in applying theory to practice.
Key Research Areas
The Centre is committed to enhance XJTLU’s research and teaching in AI by integrating the University’s key resources. The institute has established two core research directions: intelligent recognition and system intelligence, with a research framework that encompasses the following dimensions:
In technological development, AI-URC focuses on innovative breakthroughs in artificial intelligence algorithms and models, emphasising core technology research in cutting-edge areas such as cognitive computing and application technology, new energy technologies, Internet of Things sensing and virtual reality interaction technology.
In application innovation, the Centre advances the integration of AI and virtual technologies, focusing on developing a new generation of embedded intelligent integrated circuits. Concurrently, it actively promotes the industrial application of artificial intelligence technology in key fields such as information technology, smart healthcare, and intelligent manufacturing, aiming to construct an integrated innovation ecosystem that combines industry, academia, research, and application.
Localised AI New Hardware Proof of Concept Laboratory
The XJTLU localised AI New Hardware Proof of Concept Laboratory focuses on the fields of artificial intelligence and large-scale model technologies, aiming to support transformation of academic research into industry. Its core mission is to provide research teams with comprehensive services, including technical feasibility assessment, market demand alignment, business model design, and risk management, thereby addressing the bottleneck in transitioning from lab to market.
Leveraging the research resources of XJTLU, Xi’an Jiaotong University, China, and the University of Liverpool, UK, as well as the industrial ecosystem advantages of Suzhou’s manufacturing sector, the laboratory prioritises the development of technical prototypes in areas such as intelligent signal detection, industrial large models, and localised new hardware adaptation. By establishing a multi-dimensional service framework, the laboratory not only evaluates the technical feasibility of research outcomes and optimises technical prototypes but also analyses target market demands and competitive landscapes to identify commercialisation potential. It assists in building sustainable business models and identifies technical, market, and policy risks, formulating corresponding mitigation strategies.
Furthermore, by lowering the barriers to transformation, the laboratory provides end-to-end support for research teams, shortening the “technology-to-product” cycle and strengthening the commercial foundation. This ensures that technical prototypes possess investable and scalable potential, bridging the gap to industrialisation and laying a solid groundwork for subsequent financing, collaborative development, and market promotion. Its service areas are extensive, covering energy, embodied intelligence, scientific and educational instruments, healthcare, education, advanced materials, and advanced semiconductors, among others.
Jiangsu Data Science and Cognitive Computational Engineering Centre
The AOA was established on the foundation of the Jiangsu Data Science and Cognitive Computational Engineering Centre , with the core philosophy of integrating industry and education, and fostering collaborative innovation. It combines academic research with industrial practice resources. The Academy is committed to advancing frontier research and innovation in artificial intelligence. Through an integrated industry-academia-research-application platform, it conducts high-level fundamental research and industrial application projects in artificial intelligence. Additionally, the academy actively organises a variety of events such as academic forums and industry summits, creating an open and collaborative innovation ecosystem for students, scholars, and industry partners, thereby significantly promoting breakthroughs in AI research and application.
In the context of the booming artificial intelligence industry, XJTLU collaborated with government and enterprises to strengthen university-industry links. Drawing on its expertise in artificial intelligence algorithms, big data analysis, virtual reality, and digital intelligence, the XJTLU Artificial Intelligence University Research Centre was honoured with the Jiangsu Data Science and Cognitive Computational Engineering Centre award in 2020 and successfully awarded the Suzhou Industrial Park Artificial Intelligence Innovation Enhancement Platform project in 2022.
Jiangsu Data Science and Cognitive Computational Engineering Centre adopts a management structure that integrates advisory boards, teaching committees, and international technical advisory committees. It integrates the high quality educational and research resources of XJTLU, fully leveraging its international characteristics and advantages. The institute is committed to strengthening the close connection between academic research in artificial intelligence and its related industries. Within the institute, there are three Suzhou Municipal Key Laboratories: the Suzhou Key Laboratory of Cognitive Computing Applications, the Suzhou Key Laboratory of New Energy Technology, and the Suzhou Key Laboratory of Intelligent Virtual Engineering. Additionally, it houses an Internet of Things Research Centre and a Laboratory for Intelligent Computing and Financial Technology. The Centre actively fosters an open, integrated, and innovative research atmosphere, fully supporting and encouraging innovative thinking and practical transformation among faculty and students, thereby aiding students in applying theory to practice.
Key Research Areas
The Centre is committed to enhance XJTLU’s research and teaching in AI by integrating the University’s key resources. The institute has established two core research directions: intelligent recognition and system intelligence, with a research framework that encompasses the following dimensions:
In technological development, AI-URC focuses on innovative breakthroughs in artificial intelligence algorithms and models, emphasising core technology research in cutting-edge areas such as cognitive computing and application technology, new energy technologies, Internet of Things sensing and virtual reality interaction technology.
In application innovation, the Centre advances the integration of AI and virtual technologies, focusing on developing a new generation of embedded intelligent integrated circuits. Concurrently, it actively promotes the industrial application of artificial intelligence technology in key fields such as information technology, smart healthcare, and intelligent manufacturing, aiming to construct an integrated innovation ecosystem that combines industry, academia, research, and application.
Localised AI New Hardware Proof of Concept Laboratory
The XJTLU localised AI New Hardware Proof of Concept Laboratory focuses on the fields of artificial intelligence and large-scale model technologies, aiming to support transformation of academic research into industry. Its core mission is to provide research teams with comprehensive services, including technical feasibility assessment, market demand alignment, business model design, and risk management, thereby addressing the bottleneck in transitioning from lab to market.
Leveraging the research resources of XJTLU, Xi’an Jiaotong University, China, and the University of Liverpool, UK, as well as the industrial ecosystem advantages of Suzhou’s manufacturing sector, the laboratory prioritises the development of technical prototypes in areas such as intelligent signal detection, industrial large models, and localised new hardware adaptation. By establishing a multi-dimensional service framework, the laboratory not only evaluates the technical feasibility of research outcomes and optimises technical prototypes but also analyses target market demands and competitive landscapes to identify commercialisation potential. It assists in building sustainable business models and identifies technical, market, and policy risks, formulating corresponding mitigation strategies.
Furthermore, by lowering the barriers to transformation, the laboratory provides end-to-end support for research teams, shortening the “technology-to-product” cycle and strengthening the commercial foundation. This ensures that technical prototypes possess investable and scalable potential, bridging the gap to industrialisation and laying a solid groundwork for subsequent financing, collaborative development, and market promotion. Its service areas are extensive, covering energy, embodied intelligence, scientific and educational instruments, healthcare, education, advanced materials, and advanced semiconductors, among others.