Computer Science Artificial intelligence

Potential benefits of method include subjecting patients to fewer exams and reducing health care costs

Machine learning helps find advantageous combination of salts and organic solvents

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To improve innovation and technology education, Lingnan University and Alibaba Cloud, the digital technology and intelligence backbone of Alibaba Group, have announced a partnership and recently held a Memorandum of Understanding (MoU) signing ceremony at Lingnan University. The MoU, a milestone in their collaboration, was signed by Prof Leng Mingming, Dean of the Faculty of Business and Chair Professor of Operations and Risk Management of Lingnan University, and Mr Leo Liu, Vice-President of International Business and General Manager of North APAC Region at Alibaba Cloud.

Walking and running is notoriously difficult to recreate in robots. Now, a group of researchers has overcome some of these challenges by creating an innovative method that employs central pattern generators - neural circuits located in the spinal cord that generate rhythmic patterns of muscle activity - with deep reinforcement learning. The method not only imitates walking and running motions but also generates movements for frequencies where motion data is absent, enables smooth transition movements from walking to running, and allows for adapting to environments with unstable surfaces.

Lingnan University in Hong Kong has participated in the two-day QS China Summit 2024 from 17 to 18 April in Shanghai to explore how universities can contribute to China’s global leadership in higher education. The main theme of the summit is “Remaining Distinct in Global Higher Ed: China’s Place in the New World of Education”. As part of efforts to strengthen Lingnan’s international visibility, the University hosted a President Panel Discussion titled "Fostering Distinction in Chinese Higher Education Through Digital Innovation". The Panel provided an exceptional platform for discussions on Chinese higher education within the rapidly evolving field of digital innovation.

Lingnan University’s Teaching and Learning Centre held its annual “Inno-GBA: Empowering education with Generative Artificial Intelligence tools” from 16 to 19 April. The four-day event examined the latest Generative AI (GAI) tools for teaching and learning in higher education, and sophisticated state-of-the-art GAI tools to facilitate academic research and student learning, and assist jobseekers. The first day of the event, which was conducted in hybrid mode, over 200 people came to hear leading professors from the main universities in the Greater Bay Area (GBA) and industry experts from high-tech companies speak.

GPT-4 shows promise as an aid to chemistry researchers, yet its limitations reveal the need for further improvements.

Researchers have developed a proof-of-concept system that allows robotic experiments to run without any human intervention.

Researchers have developed an AI-driven system that can design novel molecules with any desired properties and suggest methods to create them using readily available materials.

Lingnan University held a Chinese New Year media reception today (27 February) at its Tuen Mun campus, where Prof S. Joe Qin, President and Wai Kee Kau Chair Professor of Data Science of Lingnan University, together with Prof Xin Yao, Vice-President (Research and Innovation), who joined Lingnan in January; Prof Sam Kwong Tak-wu, Associate Vice-President (Strategy Research); Prof Lau Chi-pang, Associate Vice-President (Academic Affairs and External Relations); and Ms Margaret Cheung Wai-fong, Registrar, shared the latest developments of the University with the media.

To strengthen collaborative ties with prestigious institutions on the mainland, Lingnan University recently welcomed a delegation from Zhejiang University. The delegation, consisting of 31 outstanding students participating in the Morningside Cultural China Scholars Programme, along with three accompanying teachers, engaged with Prof S. Joe Qin, President and Wai Kee Kau Chair Professor of Data Science of Lingnan University, who also delivered a keynote address titled "The Emerging Era of Data Science and AI".

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A trained AI system learns to design cellular materials with specific target properties for a wide range of potential uses, including tissue engineering and energy storage.

The Council of Lingnan University approved the Search Committee’s recommendation to appoint Prof Yao Xin as Vice-President (Research and Innovation) and concurrently Tong Tin Sun Chair Professor of Machine Learning, effective from 22 January 2024, for a term of five years. Prof Yao is also appointed as Tong Tin Sun Chair Professor of Machine Learning and will oversee and steer the development of research, innovation and knowledge transfer at the University, and provide leadership for the research institutes and centres with the Associate Vice-President (Strategic Research). He will oversee the School of Graduate Studies and the Office of Research and Knowledge Transfer directly.

A research team led by Lingnan University's School of Interdisciplinary Studies Assistant Professor Xiao Hang recently devised a “crystal language” that enables artificial intelligence (AI) to create new materials with desired properties (Figure 1). This groundbreaking discovery holds the potential for creating the next revolutionary semiconductor material that makes solar energy abundant and affordable, and opens possibilities for the development of novel superconductors that effortlessly transport clean electricity with zero losses. The findings of this breakthrough research have been published in the prestigious academic journal Nature Communications, which is also the first time Lingnan University scholar published a lead-author paper on the esteemed Nature series.

Prof Joe Qin, President and Wai Kee Kau Chair Professor of Data Science of Lingnan University, and Prof Sam Kwong Tak-wu, Associate Vice-President (Strategic Research) and Chair Professor of Computational Intelligence, have been elected Fellows of the Hong Kong Academy of Engineering Sciences (HKAES) for the year 2023. This recognition highlights their exceptional contributions and expertise in the field of engineering.

The Distinguished Scholars Seminar Series organised by Lingnan University’s School of Graduate Studies presented its fourth session on 7 December “Creating a better future: harnessing AI for social and environmental responsibility” was delivered by Prof Sam Kwong Tak-wu, Chair Professor of Computational Intelligence and Associate Vice-President (Strategic Research) at Lingnan University. Prof Kwong was recently on the “Highly Cited Researchers 2023” list and in the seminar, he analysed how the rapid rise of artificial intelligence and robots in recent years will affect human work and daily life.

Lingnan University held the opening ceremony for Lingnan@WestKowloon and Lingnan Arts Biennale 2023 Digital Art Exhibition “Digital Matter” at M+ Tower of West Kowloon Cultural District (WKCD) today (7 December). The unveiling ceremony of it was officiated by Council Chairman Mr Andrew Yao Cho-fai, Council Treasurer Ms Katherine Cheung Marn-kay, Chairman of the Court Dr Patrick Wong Chi-kwong, and Prof S. Joe Qin, President and Wai Kee Kau Chair Professor of Data Science of Lingnan University. They marked the launch of the Lingnan@WestKowloon by presiding over the switching-on ceremony.

On 14 November 2023, Lingnan University and the Shenzhen Technology and Innovation Commission signed an agreement at the 2023 Assembly of Shenzhen Virtual University Park, announcing that Lingnan University will officially become a member of the Shenzhen Virtual University Park.

The latest ‘large language model’ artificial intelligence system, GPT-4, could aid chemistry researchers, but limitations reveal the need for improvements.

Researchers from Osaka University have developed a data-driven AI algorithm for controlling the heating and cooling of an office building. The system does not require ambient sensors or specific knowledge of the building’s rooms. During heating operations, the system was able to achieve energy savings of up to 30%, which can represent significant reductions to cost and environmental impact.

Lingnan University’s Faculty of Business signed a Memorandum of Understanding (MoU) with Lenovo PCCW Solutions (LPS), announcing a shared commitment to cultivating the next generation of tech talents. The partnership aims to capitalize on LPS’ experience as a leading technology solutions powerhouse to provide students with additional experience in AI and digital technologies, connecting the dots from academia to technology field adoption.

The search for innovative materials will be greatly assisted by software that can suggest new experimental possibilities and also control the robotic systems that check them out.

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Osaka Metropolitan University scientists have developed an AI model that accurately estimates a patient’s age, using chest radiographs of healthy individuals collected from multiple facilities. Furthermore, they found a positive relationship between differences in the AI-estimated and chronological ages and a variety of chronic diseases, such as hypertension, hyperuricemia, and chronic obstructive pulmonary disease. In the future, it is expected that AI biomarkers will be developed to predict life expectancy, estimate the severity of chronic diseases, and forecast surgery-related risks.

Osaka Metropolitan University scientists have successfully developed a model that utilizes AI to accurately classify cardiac functions and valvular heart diseases from chest radiographs. The Area Under the Curve, or AUC, of the AI classification showed a high level of accuracy, exceeding 0.85 for almost all indicators and reaching 0.92 for detecting left ventricular ejection fraction—an important measure for monitoring cardiac function.

Two key challenges in chemistry innovation are solved simultaneously by exploring chemical opportunities with artificial intelligence.

Philip M. Parker, INSEAD Chaired Professor of Management Science and founder of the INSEAD AI lab called TotoGEO, has developed TotoPoetry – a poetry generator trained on a rule-oriented approach to AI.

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