Computer Science

News

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.
SignTown
23 Feb 2022
Computer game uses a camera and AI-based movement recognition to teach sign language to a broader public.
14 Jan 2022
Just like explorers need maps, scientists require guides to better understand and advance new technology. A neuromorphic device, which can mimic the neural cells in our brain, has lacked such a guideline and created headaches for scientists trying to understand their operational mechanisms. That is until now after a research group created a map that provides rational design guidelines for neuromorphic devices, paving the way for advancements in brain-inspired computers.
Hokkaido University
22 Dec 2021
Scientists predict that continued global warming under current trends could lead to an elevation of the sea level by as much as five meters by the year 3000 CE.
30 Nov 2021
Despite significant advancements in computing technologies, they pale in comparison to the energy efficiency of human brains. Now, researchers from Tohoku University and the University of Gothenburg have developed a new spintronic technology for brain-inspired computing.
26 Nov 2021
In a continuing effort to improve upon previous work, a research team at the Graduate School of Science, Osaka City University, have applied their recently developed Bayesian phase difference estimation quantum algorithm to perform full configuration interaction (full-CI) calculations of atoms and molecules without simulating the time evolution of the wave function conditional on an ancillary qubit. Superior to conventional methods in terms of parallel execution of quantum gates during quantum computing, this new algorithm is expected to be much easier to implement in actual quantum computers.
23 Nov 2021
Prof. Jae Youn Hwang, DGIST, developed a domain-adaptive deep learning technology for object segmentation with state-of-the-art performance

Events

30 Jan 2023 to 31 Jan 2023
Discover advances in AI, machine learning, and deep learning from the world's leading innovators.
18 Aug 2022 to 20 Aug 2022
Participatory Design Conference (PDC) is a world-leading venue and an ACM SIGCHI conference, bringing together the latest debates in the collaborative and equitable design of technology, services and socio-technical systems.
07 Apr 2022
Design, Arts and Technology (DAT) Talk Series 2022 Speaker: Dr. Lizette Reitsma Associate Senior Lecturer Malmö University, Sweden
13 Apr 2022
In this Brown Bag seminar, the speaker will highlight the key challenges for digital inclusion faced by the indigenous and rural communities of Sarawak and will share some of the initial findings from the two most recently initiated research projects to further explore, document and address these challenges.
01 Feb 2022 to 10 Feb 2022
The International Network for Postgraduate Students in the area of ICT4D (IPID) is an academic network doing research in ICT4D. IPID operates through inter alia support to doctoral as well as master students and increased visibility at international conferences. The IPID-Asia Winter School 2022 is co-organised by the ipid-Asia chapter's members and it is a hybrid event from 1-10 February 2022. The school comprises of three sessions;
06 Sep 2022 to 07 Sep 2022
Themed “Security Transformation for the Next Normal – Evolution of Risk Management and Data Protection in a Post Pandemic World”, the 2-day Summit will focus on how the enterprises can transform their security successfully under the cyber security challenges and the escalating cyber threats for the next normal.
01 Jun 2021 to 03 Jun 2021
Prof. Kyung-Joon Park, the Department Chair of Information and Communication Engineering is to take the role as a Head of Joint Operation Committee at IEEE ISORC 2021
19 Aug 2020 to 20 Aug 2020
The annual gathering of 220+ Savvy Marketers, as well as senior level professionals from Technology, Digital, Strategy & Innovation fields.
14 Oct 2020 to 15 Oct 2020
Asia Pacific is the fastest growing global region for the identity market. Identity Week Asia is a world-class virtual event, to help create a more secure world, through the implementation of trusted identity solutions. FREE PASS available for Asia Research News readers!
26 Nov 2019
Interactive talk at the Singapore Science Centre, 26 November 2019, 2.30pm to 3.30pm
14 Jan 2020 to 17 Jan 2020
Organised by the National Research Foundation (NRF) Singapore, the Global Young Scientists Summit (GYSS) brings together distinguished scientists, post-graduates and academics for four days of learning and mentoring from 14 to 17 January 2020.
11 Nov 2019 to 15 Nov 2019
Singapore FinTech Festival (SFF) and the Singapore Week of Innovation and TeCHnology (SWITCH) will come together as SFF x SWITCH. Together, it will form a comprehensive showcase of innovative technologies across 5 key sectors to prime business transformation.
04 Aug 2020 to 06 Aug 2020
Join the First EmTech Asia Virtual Conference on the Emerging Technologies That Matter
09 Oct 2019 to 10 Oct 2019
Join us at Asia's biggest and best-attended B2B enterprise technology event, Cloud Expo Asia. The event will open its doors to over 18,000 technology professionals on 9th - 10th October 2019 at Marina Bay Sands Expo and Convention Centre.
South Korea's Ulsan National Institute of Science and Technology (UNIST) held a ceremony to mark the official opening of Smart Port Logistics Data Center.
24 Sep 2019 to 25 Sep 2019
Organised by BIGIT Sdn. Bhd, it will be held in Kuala Lumpur, Malaysia, 24-25 September 2019
25 Sep 2019 to 26 Sep 2019
Come see the future of commerce in the Philippines! Get your free pass.

Researchers

Jinhyo Joseph Yun
Dr. JinHyo Joseph Yun is a principal researcher at DGIST and a Professor at Open Innovation Academy of SOItmC.
Michihiro Okuyama is the principal data scientist at Konica Minolta, Tokyo.
 Liu Nan
Dr Liu Nan is an Associate Professor at Centre for Quantitative Medicine and Programme in Health Services and Systems Research, Duke-NUS Medicine School. His research focuses on health services research, emergency and prehospital care, cardiology, medical informatics, and health innovation
Syerina Azlin Md Nasir (PhD), Universiti Teknologi MARA Cawangan Kelantan, Malaysia
Dr. Syerina Azlin Md Nasir received her Ph.D. in Information Technology from Universiti Teknologi MARA (UiTM), Malaysia and her undergraduate studies at University of Salford, United Kingdom. She is a senior lecturer in Faculty of Computer and Mathematical Sciences at UiTM Cawangan Kelantan, Malaysia where she has been a faculty member since 2004. She has been engaged to research works such as conferences, workshops and become a member of Business Datalytics Research Group. She is a member of Microsoft Certified Professional, International Association of Engineers (IAENG), Certified RapidMiner Analyst and Certified Talend Data Integration. Her earlier publications are on database technology, ontology construction and mapping and actively involves in research, consultations and publications. The author’s current interest is on data mining, data analytics, text and web mining.
photo of Maria Ramila Jimenez
I am a faculty and the chair of the Department of Information Technology, College of Computer Studies Xavier University Ateneo de Cagayan. I am into security, networking, robotics, authentic assessment, technology and innovation.
Lian is an IT professional with a bachelor's in Computer Science at De La Salle University and a masters in Information Studies at The University of Tokyo. She had previously handled professional projects in culture-based conservation and blended learning. She is currently based in Chiba, Japan as a research student in Sustainability Science at UTokyo's Kashiwa campus. Her research focuses on educational technology for sustainable development (ICT4Ed and ESD). Aside from her day job, Lian enjoys painting and has participated in a number of exhibitions in her hometown, Davao City.
Dr. Winnie Lam Wai Man
Dr. Lam Wai Man Winnie (BScIT, PhD, IEEE member) joined The Education University of Hong Kong (EdUHK) in 2016 .Her research areas are bioinformatics, data analytics, e-learning and blended learning.
Picture of Franz de Leon
Dr. Franz Asunta de Leon is the Director for the DOST - Advanced Science and Technology Institute (DOST-ASTI). With interests in Digital Signal Processing for Audio and Communications, he was the project leader for the Development of a Philippine Indigenous Instrument Sounds Database, also known as KATUNOG (KAlipunan ng KaTUtubong TuNOG).
Picture of Kwan Hui Lim
Kwan Hui Lim is an Assistant Professor at the Information Systems Technology and Design Pillar, Singapore University of Technology and Design, and leads the Social and Urban Analytics Lab. He is a recipient of the 2016 Google PhD Fellowship in Machine Learning. His research interests are in Data Mining, Machine Learning, Artificial Intelligence, Social Network Analysis, and Social Computing.
Picture of Prof.Albert Ko
Prof. Albert is an experienced engineer, accomplished entrepreneur, innovative educator and a well-respected humanitarian worker. His research interests include artificial intelligence, robot-assisted search and rescue systems, humanitarian technologies and rural water and sanitation systems.
Prasanna Lakmal
Prasanna Lakmal is a lecturer at the Department for Commerce & Financial Management of the University of Kelaniya, Sri Lanka.
Hongsoo Choi
Hongsoo Choi is currently a professor at the Department of Robotics Engineering, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Korea.
Dr. Tariq is an Associate Professor in the School of Computing and Creative Media, University of Technology Sarawak, Sibu Malaysia. He has 20 years of experience working as a lecturer, researcher, consultant and development practitioner with indigenous and underserved communities of Malaysia, Namibia and Pakistan. His research interests include Indigenous Knowledge Management (Governance), Community-based Co-design (HCI), Rural ICT, Community Informatics and ICT4D.
Picture of Xuejiao Zhao
I got Ph.D. degree and published more than 15 top papers (including 1 best video, 2 best paper) on this topic. My project ‘Smart Home for Elderly’ was chosen to demo to Prime Minister of the Republic of India Narendra Modi, Teo Chee Hean, etc. I co-founded the charity for supporting professional woman called “Her Thought”.
Assoc Prof Tuncer is the Capstone program director at Singapore University of Technology and Design (SUTD) and Director of the Informed Design Lab, which works on using data for informed architectural and urban spaces. Using computation, the lab looks at how they can strengthen and automate some things in urban design by building models and testing them better for human use, human perception, human comfort before actual constructions.
Picture of Dorien Herremans
Dorien Herremans is an Assistant Professor at SUTD, where she is also Director of Game Lab. Her research interests include machine learning and music for automatic music generation, data mining for music classification (hit prediction) and novel applications in the intersections of machine learning/optimization and domains such as digital music and stock market prediction.
Dr. Mamta Agrawal BSc. (Maths, Physics, Chemistry), MSc. (Mathematics), DCA (Diploma in computer applications) MCA (Masters in computer applications) PHD (Mathematics and Computational Biology) POST DOC (Mathematics and Computational Biology) completed two research projects: 1. WOS-A (DST New Delhi) 2. Indo-Austria research Projuect (DST-BMWF) Visited Abrod four countries Thiland, South Korea, Austria, Nepal Paper Pulication-18 ChpterPublication-1 Book Publication-1 Patent- going on
Director of Tohoku University's Tough Cyberphysical AI Research Center and expert in rescue robotics.
We investigate the brain through visual functions to apply the knowledge to human engineering and image engineering.
Masanori Shimono is an associate professor at Kyoto University Graduate School of Medicine.
Cheah Yu-N is an associate professor at the School of Computer Sciences, Universiti Sains Malaysia.

Giants in history

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