Artificial Intelligence

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.

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.

A research team led by Osaka Metropolitan University focused on generative AI as an information-gathering tool in the medical field. The results showed that one of the generative AIs suggested mostly fictitious references, while the other suggested multiple references with the same level of accuracy as the researchers. The use of generative AI in literature search suggests the possibility of efficiently collecting a vast amount of medical information, provided that users are well aware that the performance of generative AI is still in its infancy and that not all information presented is necessarily reliable. It is advised to use different generative AIs depending on the type of information needed.

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.

Asia Research News monitors the latest research news in Asia. Some highlights that caught our attention this week are sea cucumbers that glow in the dark, a needle that softens at body temperature, and the real size of our sun.

New shrimp species in ancient hot spring, Super sprouts, How "warm-ups" work, New antiviral candidate, Solving voltage decay and from our blog: A sustainable future shines in TIE 2023. Read all in the latest Editor's Choice.

SINGAPORE, November 7, 2023 – TechInnovation 2023, IPI's flagship event and a premier technology-matching platform, successfully concluded on Thursday, 2 November 2023, profoundly impacting audiences with insights into Sustainability, Health & Well-being, and AI in Healthcare. Over 5,000 people registered to attend TechInnovation, which brought together industry leaders, innovators, and technology experts alike to share and discover opportunities to partner and collaborate to create a sustainable future.

They say two heads are better than one. But in the world of fish, it appears two fins are better than one. Researchers have produced a theoretical model that demonstrates the underlying mechanisms behind how fish will synchronize their fin movements to ride each other’s vortices, thereby saving energy.

- Professor Park’s research team at DGIST successfully develops AI for pathological image analysis that can accurately segment overlapping cell nuclei using only rough labels - Improved efficiency in diagnosing diseases and predicting the prognosis of patients by analyzing the microenvironment of pathological images... published in MICCAI, a top journal in the field of artificial intelligence

- Professor Sung-hoon Im’s research team at DGIST has developed automated search technology that can find an optimal deep learning network architecture by learning the relationship between tasks. - It is expected to greatly contribute to advances in AI technology, such as autonomous driving, which simultaneously performs multiple tasks, including object detection, lane recognition, and distance estimation.

- Successfully developed federated learning AI, which can enable large-scale model learning and work without violating privacy with only a single model transfer - Collaborated with Stanford University on a model for generating high-quality brain MRI images... Published 2 papers in MICCAI

- Professor Park’s research team at DGIST has successfully developed domain-adaptive AI specialized in medical images - Contributes to saving cost and time in developing deep learning models for multi-center medical image analysis

- The developed image translation model can yield accurate classification results despite the use of biased data for the training of a deep learning model. - This solution is expected to be applied in various fields, such as self-driving, content creation, and medicine.

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

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

Asia Research News monitors the latest research news in Asia. Some highlights that caught our attention this week are radiation blasts that come from outer space, a new way of seeing the Earth’s core, and a prosthetic socket that fills in the gaps.

In a recent publication in EPJ Quantum Technology, Le Bin Ho from Tohoku University’s Frontier Institute for Interdisciplinary Sciences has developed a technique called "Time-dependent Stochastic Parameter Shift" in the realm of quantum computing and quantum machine learning. This breakthrough method revolutionizes the estimation of gradients or derivatives of functions, a crucial step in many computational tasks.

Asia’s premier technology-matching platform returns for its 11th edition from 31 October to 2 November at Marina Bay Sands.

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

Insect cyborgs may sound like something straight out of the movies, but hybrid insect computer robots, as they are scientifically called, could pioneer a new future for robotics. It involves using electrical stimuli to control an insect’s movement. Now, an international research group has conducted a study on the relationship between electrical stimulation in stick insects' leg muscles and the resulting torque (the twisting force that causes the leg to move).

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 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.

Scientists have revealed that the outer part of our brain (the cortex) is skilled at managing all the info it gets from the outside world thanks to special groups of nerve connections called modules, which work together but also independently.

The physical laws of everyday water flow were established two centuries ago. However, scientists today struggle to simulate disrupted water flow virtually, e.g., when a hand or object alters its flow. A research team from Tohoku University has harnessed the power of deep reinforcement learning to replicate the flow of water when disturbed. The replication allowed for recreating water flow in real time based on only a small amount of data, opening up the possibility for virtual reality interactions involving water.

To address the lack of suitable training data for deep-learning semantic segmentation models in urban landscaping, researchers from Osaka University developed a method that generates a training dataset without the need for real images or a model of an existing city. The method, which is based on procedural modelling and image-to-image techniques, enables segmentation models to achieve comparable performance under some conditions at a fraction of the cost of real dataset generation.

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.

Precisive real-time prediction of the movement of nearby vehicles or the future trajectory of pedestrians is essential for safe autonomous driving. A research team led by City University of Hong Kong (CityU) recently developed a novel AI system that improves predictive accuracy amid dense traffic and increases computational efficiency by over 85%, offering great potential for enhancing the safety of autonomous vehicles.

Machine learning model provides quick method for determining the composition of solid chemical mixtures using only photographs of the sample.