Computer Science

Eye-contact has a significant impact on interpersonal evaluation, and online job interviews are no exception. In addition to the quality of a resume, the direction of the interviewee’s gaze might help (or hinder) their chances of securing the job.

Researchers from Tohoku University and Kyoto University have succeeded in developing a DNA–based molecular controller. Crucially, this controller enables the autonomous assembly and disassembly of molecular robots, as opposed to manually directing it.

Machine learning helps find advantageous combination of salts and organic solvents

Blue energy future, Off switch for brain cells, New Japanese lily species, Generative AI in motion, Economies take off with new airports and Braille-shaped electrodes for retinal implants. Read all in the latest Editor's Choice. Plus SciCom Coffee with Catriona Child.

Rapidus and Hokkaido University Sign Comprehensive Collaboration Agreement aiming to enhance scientific and technological capabilities and develop human resources through the semiconductor industry.

Expected to enable rapid and accurate verification of videos collected and distributed online. - Professor In-kyu Moon’s research team received about 4.8 billion KRW over 2 years and 9 months from the Ministry of Science and ICT, and the project commenced in April 2024.

An SUTD professor and his collaborators propose a new tree-inspired one-time password scheme that provides security and privacy while supporting changing user environments.

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.

Lingnan University held the Lingnan University Institute for Advanced Study (LUIAS) conferment ceremony today (20 May). Prof Alain Bensoussan, Lars Magnus Ericsson Chair and the Director of International Centre for Decision and Risk Analysis (ICDRiA) at the University of Texas at Dallas, had the title of Lingnan Fellow conferred upon him, and Prof Joshua Mok Ka-ho, Vice-President and Lam Man Tsan Chair Professor of Comparative Policy of Lingnan University, and Prof Tsui Kwok-leung, Professor of the Grado Industrial and Systems Engineering of Virginia Polytechnic Institute and State University (Virginia Tech), were named Senior Lingnan Scholars in recognition of their important achievements in scholarly accomplishments.

Calculations consider how a dozen metals such as titanium combine with nitrogen or carbon to form bonds

- Professor Sanghyun Park’s research team in the Department of Robotics and Mechatronics Engineering successfully developed a novel AI model that can effectively utilize medical images from multiple healthcare institutions with the knowledge distillation technique based on federated learning - Findings were published in Medical Image Analysis (MedIA), one of the top journals in medical AI

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.

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

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

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

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

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.