Computer Science

News

10 Mar 2023
Researchers from the Université de Lorraine and Tohoku University have demonstrated sub-picosecond magnetization reversal in rare-earth-free spin valves. To date, ultra-fast magnetization control without using magnetic fields was only seen in material systems using rare-earth materials. But the recent breakthrough is expected to open up new pathways for developing ultra-fast and energy efficient applications.
08 Mar 2023
Tactile sensations could soon be coming to virtual reality, surgical robotics and prosthetic sensing.
03 Mar 2023
Machine learning algorithms allow analysis and characterization of the atomic arrangement of silicon surface superstructures without the need for human expertise.
03 Mar 2023
Moving parts in mechanical come into regular contact, leading to wear and tear. Now, researchers at Tohoku University have developed a contact control system, driven by artificial intelligence, to greatly reduce contact between damaged parts.
09 Feb 2023
A research team led by an associate professor at Tohoku University has developed a microscopic fiber equipped with actuators and biochemical sensors. The breakthrough could be used to develop smart catheters and lead to further advancement in robotics.
A schematic of the beam diameter measurement using transmitted X-rays old and new methods
07 Feb 2023
A research group at Osaka Metropolitan University has derived a new evaluation method for the measuring the size X-ray microbeams (diameter) through mathematical analysis. The group then verified the validity of the mathematically derived evaluation method by measuring the diameter of X-ray microbeams using metal wires of various diameters with an X-ray fluorescence analysis system for small areas and found that it was possible to calculate the beam diameter more accurately than the previous conventional evaluation method.
A process of continual learning for a synthetic multi-label dataset
31 Jan 2023
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.
29 Dec 2022
- 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
Continuous respiratory sound monitoring device-Respiratory failure prediction
16 Dec 2022
Scientists developed a novel device that predicts whether an ICU patient taken off mechanical ventilation is likely to suffer from respiratory emergencies, helping critical care teams to provide immediate life-saving interventions.
14 Dec 2022
- 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
07 Dec 2022
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.
07 Dec 2022
A research group has announced a new iPMA-type Hexa-technology in Magnetic Tunnel Junctions (MTJ) that unlocks the door to improving ultra-low power in IoT edge-devices, mobile, automotive, consumer electronics, and applications operating in harsh environments, such as autonomous vehicles, industrial robots, and space applications.
29 Nov 2022
Using a quantum computer, Osaka Metropolitan University researchers utilized quantum logic circuits to directly calculate, in a single calculation, the energy difference between two molecular geometries. The developed method was then applied to execute the molecular geometry optimization of typical molecular systems. On a classical computer, calculations based on the finite difference method require at least two evaluations of the energy for one-dimensional systems, but previous research has shown that a quantum computer can be used to calculate the energy derivatives based on this method in a single calculation. However, quantum circuits relevant to quantum algorithms capable of performing the energy derivative calculations had not been implemented. The research group has successfully created a quantum circuit to calculate the energy derivatives by modifying the quantum circuit used in the previously developed quantum phase difference estimation algorithm.
18 Nov 2022
Exploring virtual human-agent relationships, A fly protein gives clue for human cancers, Rare earth elements formed in neutron star mergers 💥, One-stop process for hydrogen production. Read all in the November's Editor's Choice plus Upcoming event K4DM KNOWLEDGE MARKETPLACE – Bangkok 2022: Exchanging Ideas for a Democratic Myanmar.
Schematic illustration of this research
03 Nov 2022
Researchers from Osaka University have demonstrated a proof-of-concept for a novel use of artificial intelligence for enzyme engineering that does not require an enzyme’s crystal structure. By analyzing the amino acid sequences of malic enzymes from various living organisms, the researchers identified the amino acids that are pertinent to using different redox cofactors. The results of this work will facilitate retooling enzymes in research laboratories and the biotech industry.
Research team explores virtual romantic relationships
30 Oct 2022
New research identifies a unique way that people find connection in the modern world and provides novel insight into the fields of anthropomorphism, virtual interactions, and relationship science.
Blueprint for Satellite Edge Computing Server Network
19 Oct 2022
- A joint research team led by Professor Jeongho Kwak of DGIST and Professor Jihwan Choi of KAIST developed efficient edge-computing offloading and network-slicing techniques for next-generation LEO satellite networks. - This technology, which has drawn Elon Musk's attention, is expected to be used for high-speed streaming and computing services in communication-isolated areas during the era of “future satellite networks.”
14 Oct 2022
Researchers from Osaka University have developed a computational analysis tool called CAPITAL for comparative analysis of single-cell RNA sequencing data with complicated branching trajectories. As cells undergo a dynamic process, they can be placed on a “pseudotime trajectory” to analyze the gene expression changes throughout the process. While previously only straightforward linear trajectories could be compared, CAPITAL is proven to be able to accurately compare branching trajectories, significantly advancing the field of high-throughput single-cell sequencing.
11 Oct 2022
Researchers at The University of Tokyo simulated fractures in amorphous materials due to both cyclic fatigue and constant stress using course-grained dynamics, and demonstrated various failure modes, which can help improve reliability of materials
07 Sep 2022
To automatically generate data for training deep convolutional neural network models to segment building facades, researchers from Osaka University used a three-dimensional model and game engine to generate digital city twin synthetic training data. They found that a model trained on these data mixed with some real data was competitive with a model trained on real data alone, revealing the potential of digital twin data to improve accuracy and replace costly manually annotated real data.
Illustration of dynamical pattern formation in the model in this study where populated places and their inter-connections emerge naturally across the landscape. Transport links following least-cost paths across the landscape are strengthened between locations with large populations, whilst well-connected centers in turn tend to grow to a greater extent (Takaaki Aoki, et al. Scientific Reports. June 16, 2022).
04 Aug 2022
When the evolution of towns and of roads are modeled together, the natural landscape alone is enough to predict the actual arrangement of real towns.
The HKBU Symphony Orchestra and an AI virtual choir perform a newly arranged choral-orchestral version of the song Pearl of the Orient, with an accompanying cross-media visual narrative based on the lyrics and music created by an AI media artist.
02 Aug 2022
A pioneering and bold attempt to apply artificial intelligence (AI) technologies in the performing arts was carried out by Hong Kong Baptist University (HKBU) in a public concert held on 14 July in Hong Kong. The innovative performance was the first human-AI collaboration of its kind in the world, and it showcased how AI can be a creative force that can perform music, create cross-media art, and dance.
06 Jul 2022
The Hong Kong Baptist University Symphony Orchestra (HKBU Symphony Orchestra) will present an innovative performance showcasing human creativity alongside artificial intelligence at its Annual Gala Concert, to be held on14 July (Thursday) at 8:00pm in the Hong Kong City Hall.
20 Jun 2022
Atomic force microscopy (AFM) allows to visualize the dynamics of single biomolecules during their functional activity. All observations are, however, restricted to regions accessible by a fairly big probing tip during scanning. Hence, AFM images only the biomolecular surface with limited spatial resolution, missing important information required for a detailed understanding of the observed phenomena.
Participants rated the ethical decision of automated vehicles and human drivers.
03 Jun 2022
A research team has studied how humans react to the introduction of AI decision making. Specifically, they explored the question, “is society ready for AI ethical decision making?” by studying human interaction with autonomous cars.
Fig 1. Umbrella-mounted lightweight wind and rain sensor
13 May 2022
The new multi-tasking weather sensor simultaneously measures rain volume and wind speed. Incorporating machine learning to analyze the output data, a single sensor can provide localized weather data in a timely manner, improving disaster preparedness.
Better memristors for brain-like computing
07 Mar 2022
Neurone-like junctions made of mixed oxide-based materials could reduce the massive energy consumption of artificial intelligence operations.
Data Mover Challenge 2021
02 Mar 2022
The SupercomputingAsia Conference recognised key HPC pioneer-leaders with its annual SCA22 Awards. The winning teams from Asia, Australia and the US were also announced at the awards ceremony for the international Data Mover Challenge 2021 (DMC21) competition.

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