Big Data

Springer Nature’s latest survey, focused on Japan, shows a high proportion of Japanese researchers have access to research integrity training and builds on results from previous surveys that highlight data training as the greatest unmet need.

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.

Time series data and causal impact algorithm reveal the effectiveness of a new transit station over a four-year period

Asia Research News monitors the latest research news in Asia. Some highlights that caught our attention this week are where music affects our bodies, a battery powered by the oxygen inside our bodies, and the largest bird family tree to date.

Asia Research News monitors the latest research news in Asia. Some highlights that caught our attention this week are tiny tattoos for fish scales, how jellyfish can inspire forensics, and our intrinsic affinity for music.

Analysis of materials can be done quicker and with less expertise with the help of proven machine learning techniques established in biomedical fields.

MozzHub, a user-friendly dengue hotspot detector, could significantly assist the management and control of dengue.

Researchers from Osaka Metropolitan University assessed the correlation between human mobility restrictions and the medical costs associated with lifestyle-related diseases during the COVID-19 pandemic in Japan. A cross-sectional study revealed that an increase in walking and public transit use was associated with reduced medical costs of lifestyle diseases. These findings implicate governments to take measures other than restricting walking and public transit during pandemics and emphasize the importance of walkable cities.

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.

Lingnan University and Manchester University co-hosted a two-day China and Higher Education Conference 2023 on 13-14 December, exploring the theme "New Spaces and Places in Education: Technology and Innovation in Chinese Higher Education". The conference brought together distinguished representatives from the global academic community. The keynote address by Prof S. Joe Qin, the President of Lingnan University, at this event was particularly noteworthy, adding a touch of brilliance to the entire proceedings.

Researchers at Tohoku University and the University of California, Santa Barbara have shown a proof-of-concept of an energy-efficient computer compatible with current AI.

Prof Sam Kwong Tak-wu, Lingnan University's Associate Vice-President (Strategic Research) and Chair Professor of Computational Intelligence, has been elected as a 2023 class Fellow of the National Academy of Inventors (NAI). Prof Kwong is one of only two Hong Kong scholars to receive this prestigious recognition. The NAI Fellows Selection Committee chose Prof Kwong for induction for his spirit of innovation in creating or facilitating outstanding inventions that have made a tangible impact on the quality of life, economic development, and welfare of society. Prof Kwong will receive his medal at the NAI 13th Annual Meeting on 18 June 2024 in the US.

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.

According to the latest report by Clarivate, Lingnan University's Associate Vice-President (Strategic Research) and Chair Professor of Computational Intelligence Prof Sam Kwong Tak-wu, has been named on the list of "Highly Cited Researchers 2023”. Out of the 6,849 scholars from 67 countries and regions worldwide who were named as Highly Cited Researchers for 2023, this recognition is given to those whose work ranks in the top 1 per cent by citations for their fields and publication year over the past decade.

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.

New perspective argues pursuing fair AI for healthcare requires cross-disciplinary collaboration to translate methods into real-world benefits.

Scientists have theoretically predicted that light can be bent under pseudogravity. A recent study by researchers using photonic crystals has demonstrated this phenomenon. This breakthrough has significant implications for optics, materials science, and the development of 6G communications.

Sarawak also launches Digital Economy Blueprint 2030 as part of its vision to become a digital economy powerhouse in the region

Lingnan University celebrated the achievements of 50 faculty members during the Research and Knowledge Transfer Excellence Awards Presentation Ceremony 2023 held on 21 September. These awards recognise their outstanding performance in academic research and knowledge transfer in raising quality of life and contributions to society.

- Research team led by Professor Sanghyun Park at DGIST developed a deep-learning technology capable of accurately classifying the brain waves of a subject using only a small amount of data - Contributes significantly to improving the utilization of deep-learning models, which require a large amount of data from subjects to classify brain waves - Research findings have been published in IEEE Transactions on Neural Networks and Learning Systems, a world-renowned academic journal in the AI field

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.

Newcastle University (UK) and the Energy Research Institute at Nanyang Technological University hosted a UK-Singapore symposium funded by the UK Government in April 2023. It aimed to foster partnerships and research for widespread electric vehicle adoption. The event featured discussions on technology, economics, and policy over three days, encouraging joint collaboration in advanced electric transport research and commercialization.

succeeded in preparing atactic C1 polymers with a high melting point of up to 130 ℃ by utilizing a hydrogen-bonding interaction among amide-linkages incorporated into the polymer side-chains.

A new online platform to explore computationally calculated chemical reaction pathways has been released, allowing for in-depth understanding and design of chemical reactions.

A research group at the Osaka Metropolitan University Graduate School of Informatics has developed a new learning method for artificial intelligence that combines classification performance for data with multiple labels with the ability to learn continually from data. Numerical experiments on real-world multi-label data indicate that the new method outperforms conventional approaches. The simplicity of this algorithm makes it easy to integrate it with other algorithms to devise new ones.

- DGIST Professor Hwang Jae-yoon's team proposed a deep learning network and learning framework that allow the free composition of ultrasonic beam shape in real time - Published in the cover of the December edition of the international academic journal ‘IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control’ - Expected to lead to the development of patient-specific precision stimulation technology in the field of ultrasound brain stimulation and treatment for Alzheimer's disease, depression, and pain

- DGIST Professor Jin Kyong-hwan’s research team develops algorithm that has 3dB higher resolution than existing algorithms and compatible with various warping domains - Published in ‘ECCV’, an academic journal with global authority in the field of vision technology

As the revolution in machine learning and AI takes place, the limits of conventional computers are being reached. Probabilistic computers, which harness naturally stochastic building blocks called probabilistic bits, are likely to usher in an era of more sophisticated computing. Now, an international collaborative research group has announced the development of a scaled-up a spintronic probabilistic computer.

A new model explains that water evaporating from the Arctic Ocean due to a warming climate is transported south and can lead to increased snowfall in northern Eurasia in late autumn and early winter. This information will allow for more accurate predictions of severe weather events.

Scientists in Singapore show that restoring natural water availability to the Mekong’s floodplains is possible