HKUST and China Telecom Launch Joint AI Lab to Bridge Research and Telecom Commercialisation

By Trinzik•
The HKUST–China Telecom Joint Laboratory on AI for Telecommunications has moved into its implementation phase, aiming to translate frontier AI research into commercial outcomes and support Hong Kong's innovation hub ambitions.
HKUST and China Telecom Launch Joint AI Lab to Bridge Research and Telecom Commercialisation

The Hong Kong University of Science and Technology (HKUST) and China Telecom Global (CTG) have formally launched the HKUST–China Telecom Joint Laboratory on AI for Telecommunications, holding a signing ceremony at the HKUST campus followed by the laboratory's first Scientific Advisory Committee meeting. The milestone marks the transition of the two parties' industry–academia–research collaboration in AI for telecommunications from planning into implementation, according to an announcement carried by Media OutReach Newswire.

Chen Kai, Executive Vice President of CTG, and Prof. Guo Yike, Provost of HKUST and Director of the Joint Laboratory, delivered key addresses and executed the cooperation agreement on behalf of the two parties. The laboratory is a key outcome of a strategic cooperation agreement signed between China Telecom and HKUST in March 2025, under which both committed to deepening industry–academia–research collaboration and advancing frontier technology research and commercialisation.

The significance of the announcement lies in its structured attempt to close the gap between AI research and real-world telecom deployment. The laboratory will define research topics around CTG's business scenarios in global networks and its AI-powered intelligent computing cloud, explore joint talent development, and build a closed-loop pathway from business scenarios through research topics to commercialised outcomes. That model matters because it gives academic researchers direct access to operational telecom data and problems, while giving the company a pipeline to translate findings into deployable products.

"China Telecom is accelerating its development into a technology-driven enterprise," said Chen Kai. "Leveraging the company's business scenarios in global networks and the AI-powered intelligent computing cloud, the joint laboratory will work with HKUST on frontier research, drive collaborative innovation across telecommunications and artificial intelligence, and serve the development of Digital China and the Greater Bay Area."

Prof. Guo Yike said: "The joint laboratory is an important platform for HKUST to advance the deep integration of AI research with real-world industry scenarios. We will give full play to the university's research strengths, accelerate the translation of research outcomes, and contribute to building Hong Kong into an international innovation and technology hub."

At its first meeting, the Scientific Advisory Committee approved the laboratory's first batch of research projects and adopted the Laboratory Charter and its Rules of Procedure, with in-depth discussions on 2027 research and development directions and the translation of telecommunications business scenarios into research topics. The laboratory will operate a mechanism combining quarterly written reports with biannual review meetings to ensure that research remains aligned with industry needs and that outcomes are measurable and translatable. That governance structure is notable because it imposes commercial accountability on academic work from the outset, a factor that often determines whether joint laboratories produce deployable technology or remain exploratory.

Looking ahead, the two parties will deepen their long-term cooperation in AI for telecommunications through the joint laboratory, accelerate the industrialisation of research outcomes, support Hong Kong's development into an international innovation and technology hub, and inject fresh momentum into the high-quality growth of the digital economy in the Greater Bay Area. For the wider region, the laboratory's emphasis on commercialisation and measurable outcomes could serve as a template for how universities and telecom operators structure long-term AI partnerships.

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