Hong Kong Branch Night News|Hong Kong University of Science and Technology (Guangzhou) signed a strategic cooperation agreement with China Telecom Guangdong Company

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1The Hong Kong University of Science and Technology (Guangzhou) signed a strategic cooperation agreement with China Telecom Guangdong Company. According to the agreement, the two parties will focus on their respective technological innovation and development needs, integrate their high-quality resources and superior capabilities, and pragmatically carry out multi-faceted strategic cooperation. In this cooperation, the two parties will carry out all-round and in-depth industry-university-research strategic cooperation in the fields of data security, artificial intelligence, computing power, and telecommunication networks, and jointly build a joint laboratory of "cloud intelligent robot safe operation technology" and a large The Green Intelligent Computing Center of universities in the Bay Area jointly develops products, applies for patents, etc., and promotes the deep integration of technology and the real economy. (Click here for details)

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2. The Hong Kong University of Science and Technology (Guangzhou) signed a school-enterprise comprehensive cooperation agreement with Alibaba Cloud. The two parties will jointly build the country's first integrated educational administration system under the benchmark of higher education reform, aiming to explore the combination of innovative information technology and educational reform, reshape and improve the educational management process, improve the quality of educational teaching, and realize the modernization of educational governance. Form a new paradigm for the digital reform of higher education. The two parties will also explore the joint establishment of the "AI for Science Joint Innovation Center" to explore the construction of a future-oriented integrated innovative computing platform. (Click here for details)

3. Guangzhou Hong Kong University of Science and Technology Fok Ying Tung Research Institute Tianhe-2 assisted the team of Professor Zhang Qian to develop a lung function test system based on earphones. The team of Professor Zhang Qian of the Hong Kong University of Science and Technology found that some studies have shown that the gas flow rate is positively correlated with the airflow sound under certain circumstances, but it is very difficult to establish a conversion model from the airflow sound to the airflow velocity, which needs to be solved by deep learning. Through the supercomputing services provided by Guangzhou Supercomputing Nansha Branch Center, the team used the powerful computing power of "Tianhe-2" to conduct data analysis, which greatly shortened the time cost of iteratively designing the model structure and verified the feasibility of the idea. In the future, based on the "Tianhe-2" supercomputer, the team will use the deep learning model to model the human breathing pattern and realize the iterative design of the deep learning model. (Click here for details)

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4. Professors and graduates of HKUST are using generative AI to innovate teaching methods and business models. Many people are curious about ChatGPT. HKUST sees the potential of generative AI to improve the quality of education and becomes the first university in Hong Kong to actively encourage the adoption of generative AI. To further encourage members of HKUST to contribute ideas on innovative ways to use generative AI tools, the university recently established the "Education and Generative Artificial Intelligence Fund" to invite faculty to submit proposals on how to apply generative AI tools in teaching. The HKUST community is actively embracing the technological revolution. At present, HKUST scholars and alumni have made good use of this tool in teaching, such as creating new languages, analyzing business cases and checking program codes, or reshaping business models.

5The Hong Kong University of Science and Technology, Peking University and other research teams proposed a new session recommendation (SBR) model, Atten-Mixer, to efficiently utilize multi-level user intentions. In recent years, as users pay more and more attention to their own privacy, more and more users tend not to log in when using online platforms, which also makes anonymous session-based recommendation an important research direction. Recently, researchers from Hong Kong University of Science and Technology, Peking University, Microsoft Asia Research Institute and other institutions proposed a new model Atten-Mixer that efficiently utilizes multi-level user intent. The research paper was honorably nominated for the best paper in WSDM2023.

News source: Comprehensive compilation of various website platforms

Image source: Internet

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Origin blog.csdn.net/HKUSTchinaoffice/article/details/130377245
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