Computer Science Artificial intelligence

DGIST is creating AI that can physically collaborate with people, truly personalised healthcare, and quantum sensors which will perceive the world in entirely new ways.

The largest ever reported database of dielectric material properties could speed up development of electronics like smartphones and energy storage systems.

Understanding how tree-like structures that form in thin films could be the key to next-generation materials for beyond-5G communications technologies.

By identifying the ideal manufacturing conditions, machine learning reduces the need for expensive and time-consuming experimentation.

Lingnan University welcomed a delegation from the University Grants Committee (UGC) on its Tuen Mun campus on 8 January, and presented its latest developments as a research-oriented liberal arts university comprehensive in arts and sciences. The delegation toured Lingnan’s latest teaching facilities and viewed their research, speaking at length with senior management, academic staff, and students.

Researchers at NIMS have created Research Data Express (RDE) to automate data processing and create AI-ready datasets for materials research.

The Philippines is recruiting its first National AI Team to compete with students from over 60 countries in the annual IOAI.

Large language models accelerate construction of materials property databases.

Lingnan University participated in the two-day 5th Asia Exhibition of Innovations and Inventions Hong Kong (AEII), and delivered an outstanding performance. Among more than 140 innovative research projects presented by experts and inventors worldwide, all nine of Lingnan's participating projects received awards, securing two gold, four silver, and three bronze medals. This marks a remarkable leap from last year, when the University made its debut and achieved one gold and two silver medals.

Lingnan University’s Teaching and Learning Centre is proud to advise that its innovative IDEAL-Gen.AI (Instructional Design Enhanced Active Learning through Generative Artificial Intelligence) platform has garnered international recognition by winning the Bronze Award in the “Best Use of AI” category at the prestigious QS Reimagine Education Awards and Conference 2025.

Prof Song Yongduan, Dean of the School of Data Science and Chair Professor of the Division of Industrial Data Science at Lingnan University, has been elected as a Foreign Member of the Chinese Academy of Engineering (CAE). The result was announced today (21 November), naming him one of the 24 newly elected foreign academicians for 2025. The honour recognises Prof Song’s outstanding contributions to control science and engineering at the international level.

On November 17th, Lingnan University’s Teaching and Learning Centre (TLC) and The University of Sydney’s Educational Innovation (EI) Team co-hosted a pivotal seminar titled “The Transformation of Global Higher Education Learning Pedagogies: Harnessing the Innovation and Technology Revolution”. With an attendance of approximately 300 participants, both in person and online, the event highlighted the urgency to rethink and revolutionise educational practices to adapt to the AI era.

Three distinguished scholars from Lingnan University have been named Highly Cited Researchers 2025 in the annual list compiled by leading global analytics company in academia and research Clarivate. The list is of exceptional researchers who have demonstrated significant and wide-ranging influence in their respective fields through the publication of multiple highly cited papers reflecting their substantial contributions to advancing innovation and addressing global challenges.

Lingnan University and the Collège de Paris (CdP) have taken a large step towards improving educational opportunities by signing a Memorandum of Understanding (MoU) focused on joint projects. This partnership aligns with the Inter-institutional Agreement of Cooperation established in 2023, which promotes widespread understanding and friendship while stimulating educational, professional, and intercultural activities from both institutions.

Dr Rodrigo emphasized that AI in education must be grounded in culture—responsive to students’ lived experiences, classroom realities, and national contexts.

“The Development and Testing of a Virtual Patient for Philippine Medical Education” was presented in front of policymakers, industry professionals, and leaders from academia on the second day of the two-day conference.

The use of drones in search and rescue, patrolling, and environmental monitoring has become increasingly common. However, their performance is still constrained by complex environmental factors such as harsh weather conditions, and Prof Sam Kwong Tak-wu, a leading scholar in artificial intelligence (AI), Associate Vice-President (Strategic Research), Dean of the School of Graduate Studies and J.K. Lee Chair Professor of Computational Intelligence at Lingnan University in Hong Kong, and his research team have conducted a pioneering project titled “Key Technologies for Intelligent Enhancement and Content Understanding in Constrained Environments”.

Researchers from SANKEN at The University of Osaka have successfully developed a groundbreaking “self-evolving” edge AI technology that enables real-time learning and forecasting capabilities directly within compact devices. This innovation, termed MicroAdapt, achieves unprecedented speed and accuracy. It processes data up to 100,000 times faster and achieves up to 60% higher accuracy compared to conventional state-of-the-art deep learning methods. This achievement represents a major advance toward next-generation real-time AI applications across manufacturing, automotive IoT, and medical wearables, addressing critical limitations of existing cloud-dependent AI.

The regulatory directions of Agentic AI systems and Open-Source AI have become hot topics globally. In light of this, Lingnan University and the University of Bologna in Italy co-hosted the 2nd International Workshop on Technologies for AI Governance (TAIG) from 25 to 26 October, as part of the 28th European Conference on Artificial Intelligence (ECAI 2025). The workshop brought together numerous world-leading experts, academics, and policymakers, aiming to enhance governance in areas such as AI risk assessment, accountability tracking, and safety assurance, and to foster cross-regional exchange on AI governance between Asia and Europe. The two-day event attracted over 150 academics and students.

Lingnan University and Shenzhen Das Intellitech Company Limited (Das Intellitech), a leading company specialising in the research and application of Internet of Things (IoT) technologies, signed a Memorandum of Understanding (MoU) today, 23 October. This collaboration will use artificial intelligence (AI), big data, and IoT technologies to advance smart building and low-carbon development initiatives. The two parties will establish a pre-eminent international research laboratory to promote academia-industry-research collaboration, green innovation, and the development of smart city solutions in the Guangdong-Hong Kong-Macau Greater Bay Area, particularly in sustainable carbon-neutral technologies.

Lingnan University continues to participate in annual innovation and technology event the InnoCarnival 2025 (the Carnival), organised by the Innovation and Technology Commission (ITC). As one of the programme partners, Lingnan University is showcasing eight innovative "Smart Healthy City" research projects, integrating artificial intelligence (AI) and interdisciplinary research. These projects cover healthcare, transportation, sports training, environmental monitoring, and elderly care, and demonstrate how Lingnan’s innovation teams address societal needs and advancing smart city development through technology.

Researchers from The University of Tokyo have found that single cells in collective chemotaxis act like agents in distributed reinforcement learning, utilizing the environment as an “external memory” and exhibiting highly intelligent behavior.

Lingnan University in Hong Kong has entered the Times Higher Education (THE) World University Rankings 2026. In the latest published results, Lingnan ranked among the world’s top 301–350 out of 2,191 universities from 115 countries or territories, delivering a notable performance across several indicators. These include an impressive 47th place in International Outlook, recognising Lingnan’s achievement in fostering international diversity and collaborative research on a global scale.

With so many environmental issues arising, how can we even begin trying to solve them all? Perhaps, we can start by asking AI. This study highlights how AI can pinpoint viable action plans for these issues.

The University of Osaka researchers developed a reinforcement learning framework that lets dialogue systems efficiently learn new words while asking fewer questions. This approach enhances user experience and enables future systems to naturally acquire family-specific nicknames and expressions, becoming more familiar companions in everyday life.

Lightweight and high-performance framework for remote sensing object detection

Lingnan University has achieved another remarkable milestone in the 2025 edition of the World’s Top 2% Scientists list, published by Stanford University. This year, a total of 43 Lingnan scholars were named in the list, representing an increase of about 50 per cent compared with last year’s 29. Among them, 19 scholars were ranked among the global top 100 in their respective disciplines, underscoring the international recognition of Lingnan’s research excellence and its rising global impact.

Leading scholar in artificial intelligence (AI) Prof Sam Kwong Tak-wu, Associate Vice-President (Strategic Research), Dean of the School of Graduate Studies and J.K. Lee Chair Professor of Computational Intelligence at Lingnan University, has been honoured with the 2026 IEEE Transactions on Evolutionary Computation Outstanding Paper Award for his co-authored paper Learning-Aided Evolution for Optimization. It is the sole paper to receive this award this year, underscoring its importance in the fields of evolutionary computation and AI.