Computer Science

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

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.

Researchers at Tohoku University and the University of California, Santa Barbara have unveiled a probabilistic computer prototype. Manufacturable with a near-future technology, the prototype combines a complementary metal-oxide semiconductor (CMOS) circuit with a limited number of stochastic nanomagnets, creating a heterogeneous probabilistic computer.

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.

- Professor Jaeyoun Hwang’s team at DGIST, in collaboration with Dabeeo Inc., has developed a deep learning technology for object detection using aerial and satellite images. - The technology is anticipated to find applications in various fields, including defense, autonomous driving vehicles, and medical imaging.

- Prof. Sang Hyun Park of the Department of Robotics and Mechatronics Engineering has developed a logical anomaly detection technology that utilizes segmentation results through artificial intelligence (AI). - The research results were published by the Association for the Advancement of Artificial Intelligence (AAAI), the premier AI conference, in February 2024.

- A team led by DGIST Professor Jeongho Kwak proposes VisionScaling algorithm, enhancing user experience in 6G vision services while conserving energy in mobile devices - Efficient technology development anticipated to enhance user experience in various vision services of the upcoming 6G era (AR/XR, autonomous driving, etc.)

Recreating the action of opening doors in the virtual world requires engineering ways in which to provide the equivalent haptic feedback and steer users away from walls in the real world. A research group has done just this; developing RedirectedDoors+, which employs door robots and rotation to create a more realistic experience.

Researchers at Tohoku university have addressed one of the key challenges of electromagnetic waves in the terahertz frequency range by developing a new type of tuneable filter for signals in the terahertz wave band.

A group of Tohoku University researchers has developed a theoretical model for a high-performance spin wave reservoir computing (RC) that utilizes spintronics technology. The breakthrough moves scientists closer to realizing energy-efficient, nanoscale computing with unparalleled computational power.

A novel method for studying genes in testicular cells of living animals could lead to breakthroughs in male contraception and fertility treatments.

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.

Experimental analysis and computer simulations reveal how woven fabric composite materials are deformed by heat.

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

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

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.

Researchers have combined machine learning with robotic process automation to speed up and simplify a time-consuming process.

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".

AI records rare bird footage, Lighting up IoT and smart cities, Crystal language designs new materials, Detecting toxins with mobile phones, and Dragonfly wings for better aerodynamics. Plus join us for SciCom coffee. Read all in the latest Editor's Choice.

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.

Yokohama National University scientists are working towards creating a better tomorrow by addressing diverse challenges, from snow algae and tropical cyclones to AI cyberthreats, and much more.

We may not think about it while doing it, but our nervous system is directing our bones, joints, muscles, tendons, and more to move as efficiently as possible at varying speeds. Replicating this in robots is notoriously difficult. But now, Tohoku University researchers have created a model that makes this possible, thanks in large part to an innovative algorithm.

Non-Heisenberg-type approximant crystals have many interesting properties and are intriguing for researchers of condensed matter physics. However, their magnetic phase diagrams, which are crucial for realizing their potential, remain completely unknown. Now, for the first time, a team of researchers has constructed the magnetic phase diagram of a non-Heisenberg Tsai-type 1/1 gold-gallium-terbium approximant crystal. This development marks a significant step forward for quasicrystal research and for the realization of magnetic refrigerators and spintronic devices.

7000 forever chemicals (PFAS) and human PPARa binding properties predicted using AI technology

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.

Prof Sam Kwong Tak-wu, Associate Vice-President (Strategic Research) and Chair Professor of Computational Intelligence of Lingnan University, co-authored the research paper that has received the Best Paper, Chester W. Sall Memorial Awards 2024 from the Institute of Electrical and Electronics Engineers (IEEE), the world's largest technical professional organisation dedicated to advancing technology for the benefit of humanity. This honour was published in their monthly peer-reviewed scientific journal “IEEE Transactions on Consumer Electronics”. Only three Best Paper Awards are given each year, and the competition is extremely fierce.

What actually happens is much weirder, and may help us understand more about quantum mechanics