Artificial Intelligence

Smart neural electrode, "Rhinoceros beetle" robot, Halting the thief of sight, Together at last & Lighting hardy plants. Plus latest SciCom Coffee talk. Read all in the latest Editor's Choice.

The Expert Report on the Fifth National Assessment Report on Climate Change Hong Kong and Macao Special Report, organised by the Administrative Center for China’s Agenda 21 (ACCA21) and co-hosted by Lingnan University, was held on Lingnan campus on April 26. Attendees included Vice President Lan Yujie of the National Natural Science Foundation of China (NSFC); Deputy Director Zhang Yongtao of ACCA21; Deputy Director Yan Jinding of the National High-tech R&D of NSFC; President and Wai Kee Kau Chair Professor of Data Science Prof S. Joe Qin; Vice-President & Pro-Vice-Chancellor (Academic Development) of The University of Hong Kong (HKU) Prof Gong Peng, Associate Provost (Teaching and Learning) of The Hong Kong University of Science and Technology (HKUST) Prof Jimmy Fung, as well as representatives from relevant departments and experts from mainland China, Hong Kong, and Macao.

Meta-analysis of medical research with LLMs reveals diagnostic accuracy

To further strengthen Lingnan University’s global academic network, Prof S. Joe Qin, President and Wai Kee Kau Chair Professor of Data Science of Lingnan University; Prof Bradley R. Barnes, Interim Associate Vice-President (Global Affairs) cum Director of Global Education; and Prof Li Jia, Associate Professor of the School of Interdisciplinary Studies, visited several well-known universities in the UK respectively. The itinerary in early April, included Imperial College London, London School of Economics and Political Science (LSE), the University of Sheffield, Queen Mary University of London, the University of York, the University of Surrey, Brunel University of London, the University of Kent and the University of Westminster. Several meetings took place with fruitful discussions, surrounding academic collaboration with these potential international partners.

Autonomous driving algorithm for robot using lidar shows promise with high-bed cultivation methods

New AI model explains the basis for its decisions and the intention behind actions

Lingnan University has achieved a historic milestone at the 50th International Exhibition of Inventions Geneva, winning a record-breaking number of five awards. A total of six groundbreaking inventions from Lingnan were showcased at the exhibition, earning one Gold Medal with Congratulations of the Jury―the first time the University has achieved this honour―along with two Silver Medals and two Bronze Medals, making the number of Lingnan University's participating and winning projects a record high.

Lingnan University held the conferment ceremony for the Lingnan University Institute for Advanced Study (LUIAS) today, 11 April, welcoming three leading international scholars―Prof Chen Shiyi , President of the Eastern Institute of Technology, Ningbo, and Prof Yang Qiang, Professor Emeritus of the Hong Kong University of Science and Technology (HKUST), who were made Lingnan Fellows, and the title of Senior Lingnan Scholar was conferred on Prof Zhou Dingxuan, Professor and Head of the School of Mathematics and Statistics of the University of Sydney—to recognise their important contributions to academic achievements.

- DGIST Professor Kyung-joon Park’s research team proposes a new concept, Cyber-Physical AI (CPAI), to effectively integrate AI and Cyber-Physical Systems (CPS). - Expected to be applicable in various industries such as autonomous driving, smart factories, and medical robotics.

The rise of Generative Artificial Intelligence (GAI), which includes technologies such as ChatGPT and DeepSeek, has sparked significant global discussion. To gain an in-depth understanding of the potential application of GAI technologies in education, Lingnan University’s Teaching and Learning Centre (TLC) organised its annual Inno-GBA Seminar: Revolutionising Education with Generative Technologies on campus today, 8 April. The series, held in a hybrid mode, brought together leading artificial intelligence (AI) scholars from the Greater Bay Area (GBA) as guest speakers to analyse how AI can best stimulate innovation in teaching, and improve students' academic performance from real-life case studies. The events included weekly sessions of the “Global InnovateEd Webinars” held from 18 March to 1 April, where members of eight UGC-funded universities’ faculty and staff were invited to participate, and addressed an audience of over 600.

New machine learning model cuts fluid simulation time from 45 minutes to 3

Lingnan University Library has recently signed a Memorandum of Understanding (MOU) with Fudan University Library at the Handan Campus, Fudan University. This MoU marks the first collaborative agreement between Lingnan and Fudan University, with the aim of fostering a closer partnership, harnessing complementary strengths, and facilitating in-depth exchanges across a wide array of academic and professional domains.

The Ateneo Laboratory for Intelligent Visual Environments (ALIVE) found a way to identify tooth and sinus structures with an accuracy of 98.2%

The research jointly conducted by Prof S. Joe Qin, President and Wai Kee Kau Chair Professor of Data Science at Lingnan University in Hong Kong, and the research team from Northeastern University, has been awarded the Second Prize of Liaoning Provincial Science and Technology Award. The research project, titled “Low-quality heterogeneous big data-driven monitoring theory and methods for complex dynamic systems”, represents a breakthrough in the field of AI-driven automation. This research systematically addresses data monitoring challenges in complex dynamic systems, particularly in industrial systems and automation technologies. It provides crucial technical support for the future development of industrial intelligence.

The current capabilities of large language models already qualify them to advise students on medical ethics

Using AI image recognition, deep learning model efficiently and accurately finds structures related to star formation

Lingnan University in Hong Kong is gaining ongoing recognition in the QS World University Rankings by Subject 2025, with more subjects being ranked, reinforcing its growing academic presence on the global stage. This year, the University has twice as many subjects recognised, increasing from five to ten, with new disciplines—Communication and Media Studies, Sociology, Modern Languages, Education and Training, and Business and Management Studies—being included. While some of the University's latest advancements have yet to be reflected in this round of rankings, these achievements reaffirm Lingnan's dedication to advancing teaching and research. With a strong commitment to integrating digital-age knowledge and innovation, the University continues to prepare for new heights in the future.

Gene mutations in acute myeloid leukemia (AML) cells can guide treatment options, and machine learning can rapidly guess the existence of gene mutations based on images of leukemia cells.

In line with the HKSAR Government’s decision to promote Artificial Intelligence (AI) as a key industry, Lingnan University held Career Expo 2025 - Imagine, Innovate, Initiate, and Invent on campus from 11 to 14 March. This year’s Emerging AI-powered tools in job hunting zone allowed free access by local and non-local graduates to improve the design of their résumés, and to practise impressing mock interviewers in order to be more competitive in this digital era. The event attracted more than 130 local organisations and multinational corporations, a 30% increase over last year. A virtual career fair will continue until mid-April, to give participants more time to master their job search strategies and find their ideal jobs.

Hyperspectral imaging and AI can identify individuals using blood vessels in palms

For International Women's Day, we have prepared a list of women experts who have agreed to share their expertise with journalists. Their expertise include AI, astronomy, medicine and public health, sustainability, women’s rights, and more.

Glaucoma is called the “silent thief of sight” as many don’t notice until significant, irreversible vision loss has already occurred. A revolutionary early screening tool using AI may stop this thief dead in its tracks.

Lingnan University held its inaugural Technology Transfer Forum today, 28 February, at the Qianhai International Talent Hub in Shenzhen. Supported by the Innovation and Technology Fund of the Innovation and Technology Commission, the forum focused on “Building a Smart Future for Sustainability”. It brought together over 160 government officials, leading scholars, and industry pioneers from Hong Kong and Mainland China to explore the latest research and practical applications in the four cutting-edge technological areas of New Energy, New Material, New Data, and New Humanity.

The intersection of technology and psychological health has become a critical area of enquiry in interpersonal, workplace and organisational contexts in the digital era. With the support of the Guangdong-Hong Kong-Macao University Alliance, the Department of Psychology at Lingnan University in collaboration with Sun Yat-sen University and Renmin University hosted the inaugural International Conference and Workshop on Health and Well-being in the Digital Era on the Lingnan campus yesterday, 21 February. The conference continues today, 22 February, on Sun Yat-sen University’s Shenzhen campus. It highlights the crucial role of psychological science in shaping AI applications across work, healthcare, and daily life, and attracted about 160 participants on the first day.

Lingnan University announced that, starting from yesterday (February 20), it has provided free access to the DeepSeek-R1 model for all Lingnanians. Faculty, staff, and students can conveniently select from GPT-3.5, GPT-4o, GPT-4 Turbo, or DeepSeek-R1 through the University’s ChatGPT portal, thus enhancing teaching, learning, research, and improving work efficiency.

Lingnan University held its 2025 Chinese New Year Media Reception today, 18 February, at its Tuen Mun campus. Prof S. Joe Qin, President and Wai Kee Kau Chair Professor of Data Science, presided for the first time with the three Vice-Presidents: Prof Raymond Chan Hon-fu, Vice-President (Academics) cum Provost and Lam Man Tsan Chair Professor of Scientific Computing; Prof Xin Yao, Vice-President (Research and Innovation) and Tong Tin Sun Chair Professor of Machine Learning; Mr Ernest Chan Chi-man, Vice-President (Administration), as well as Prof Lau Chi-pang, Associate Vice-President (Institutional Advancement and External Affairs) cum Director of Institutional Advancement and Public Affairs, and announced the University’s latest developments to the media, as well as the completion and official opening in February of its first High-Performance Computing (HPC) Data Centre, “Lingnan HPC NexT”, which represents the “Nexus of HPC technology”. The centre houses dozens of supercomputers comparable to some of the current top 100 supercomputers worldwide, providing approximately 6,000 TFLOPS of computing power to support the University’s researchers and students.

Today (12 February), in the second session of the “A Personal Perspective on Doing Good Research” seminar series organised by the School of Graduate Studies of Lingnan University, Prof Raymond Chan Hon-fu, Vice-President (Academics) cum Provost and Lam Man Tsan Chair Professor of Scientific Computing at Lingnan University, gave a talk entitled “Research Methodology—A Computational Mathematician’s Perspective”, attended by about 100 teachers and students.

AI transformational impact is well under way. But as AI technologies develop, so too does their power consumption. Now, researchershave developed a new spintronic device that can potentially revolutionize AI hardware through higher efficiency and lower energy costs.

A hedonic price model incorporating street view images processed by machine learning and existing property data achieves nearly 75% accuracy for rent prediction in Osaka City

The algorithm uses data from existing materials to accurately predict the strength and flexibility of new unknown polymers.