Computer Science

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.

199 Gold, 188 Silver and 56 Bronze were awarded

Neurone-like junctions made of mixed oxide-based materials could reduce the massive energy consumption of artificial intelligence operations.

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.

Computer game uses a camera and AI-based movement recognition to teach sign language to a broader public.

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.

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.

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.

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.

Prof. Jae Youn Hwang, DGIST, developed a domain-adaptive deep learning technology for object segmentation with state-of-the-art performance

A new agreement between Japan’s Research Organization for Information Science and Technology (RIST) and National Supercomputing Centre (NSCC) Singapore opens the path for Singapore researchers to regularly access and request for supercomputing resources from the world’s most powerful supercomputer, Japan’s Fugaku system. In the first such arrangement of its kind outside of Japan, Singapore researchers can now apply for available resources through an annual Call for Projects to Fugaku, which will be coordinated by NSCC and RIST.

Scientists develop new algorithm for rapid, computerized diagnosis of COVID-19, overcoming the limitations of reverse transcription polymerase chain reaction

Scientists propose an advanced network architecture that promises to overcome the drawbacks of traditional networks.

As part of its aim to improve business and government agency efficiencies through the use of Information and Communications Technology (ICT), the Advanced Science and Technology Institute (DOST-ASTI), a research and development institute of the Department of Science and Technology, has signed a 3-year partnership with Bizooku Philippines on 27 August 2021.

An algorithm that detects events occurring across different time and geographical scales on social media could enable a more timely response to emerging events.

Researchers have developed a general quantum algorithm that can directly calculate the energy difference of an atom and molecule using a quantum computer. By avoiding the need to calculate the total molecular energies, the general algorithm is expected to be applied not only to quantum chemical calculations but also to various physical and mathematical problems, which are intractable with nowadays classical computers.

Prof. Jae Youn Hwang's team, DGIST, develops deep learning technology to segment buildings from aerial images

Scientists create a new process control model to protect systems from assailants and natural fluctuations

Development of a deep learning technique that reduces the difference between image domains by separating and converting domain information of image capturing environments

Combining two magnetic effects can manipulate the magnetic behaviours of a device, offering a novel opportunity for the next generation IT technologies.

Researchers from The University of Tokyo Institute of Industrial Science develop an experimentally supported mathematical model that defines the velocity jump mechanism in crack propagation

Scientists design an innovative file system that overcomes current performance bottlenecks when using solid state drives

M.S. Student Sejin Kim & Jungwoo Kim, won the “Outstanding Paper Award” at the largest computer society conference

Recognized for its Research Outcome Related to PIM-based AI Processor Using TSMC’s Multi-bit RRAM

Researchers from The University of Tokyo Institute of Industrial Science report a machine learning-based model for predicting the bonding properties of materials

A research project led by Hong Kong Baptist University (HKBU) entitled “Building Platform Technologies for Symbiotic Creativity in Hong Kong” has been awarded HK$52.8 million in research funding from the Theme-based Research Scheme (11th round) under the Research Grants Council (RGC) for a five-year project. This is the first time that major funding has been allocated by the RGC for an art-tech project.

- Joined by 140 researchers from 9 countries

By virtually reproducing physical reservoir computing, a new information processing technology, using numerical simulation, the present study reveals that vortices in fluid flow phenomena in the downstream region of a cylinder are the key to information processing capability. It is expected that this result concerning fluid flow vortices and information processing capability will be useful in enhancing the information processing capability of the physical reservoir using fluid flow.

Japan recorded a whopping 3459 #landslides in 2018. To reduce the risks of landslides, researchers have developed a new #mapping system that accurately predicts their damage.

Researchers from the Institute of Industrial Science at The University of Tokyo, Kobe Steel, Ltd, and Kobelco Research Institute, Inc, develop high-density, energy-efficient 3D embedded RAM for artificial intelligence applications.