Artificial Intelligence

Automation in disease diagnosis is reliant on deep learning models that can accurately and efficiently identify measurements of tumors, tissue volume, or other sorts of abnormalities. Now, researchers from Tohoku University have unveiled a new, resource-light model capable of identifying many common eye diseases.

New dinosaur species used claws to graze along the coast, More accurate rainfall predictions, Magnetism helps futuristic cell research, Do compression garments facilitate muscle recovery? Science journalism and why it matters for democracy and our Image of the month. Read all in the June's Editor's Choice and this month's Asia Research News 2022 magazine pick - Lessons from the dead.

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.

Asia Research News monitors the latest research news in Asia. Some highlights that caught our attention this week are forest-flying autonomous drones, AI that predicts mental health, and hyperventilating cells.

In disaster mitigation planning for future large earthquakes, seismic ground motion predictions are a crucial part of early warning systems. The way the ground moves depends on how the soil layers amplify the seismic waves (described in a mathematical site “amplification factor”). However, geophysical explorations to understand soil conditions are costly, limiting characterization of site amplification factors to date. Using data on microtremors in Japan, a neural network model can estimate site-specific responses to earthquakes based on subsurface soil conditions.

The theme of MTE 2022 is "Embracing the New Norm and Moving to New Frontiers," and this prestigious event is expected to attract over 10,000 online visitors from all over the world via its virtual exhibition platform.

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

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

A specific deep neural network model called Bidirectional Long-Short-Term Memory can use cough sounds to distinguish sick from healthy children, paving the way for preliminary screening.

Following the theme "Agham at Teknolohiya: Tugon sa Hamon ng Panahon," the Department of Science and Technology (DOST) once again celebrated its annual National Science and Technology Week (NSTW) celebration virtually last 22-26 November 2021.

The University launches Node for Inclusive Fintech (NiFT) as thought leader in fintech sector that champions inclusivity issues to meet the United Nation’s 2030 Sustainable Development Goals.

With the upcoming field testing of the Gul.ai System prototype, the DOST-Advanced Science and Technology Institute (DOST-ASTI) and the University of Rizal System (URS) sealed a collaboration through the conduct of a virtual signing of the Memorandum of Agreement (MOA) last 26 November 2021.

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

Continuing its AI4EO initiative, the DOST Advanced Science and Technology Institute (DOST-ASTI), through the DATOS Project, PEDRO Center, and SARwAIS Project, has signed two separate memoranda of agreement with the Laguna Lake Development Authority (LLDA) and Libmanan Water District (LiWaD), respectively.

Roughly eight hours sitting in an office can be excruciating for your back. But now researchers at Tohoku University have developed a new smart chair that may solve office workers’ back problems. The new chair identifies sitting behavior associated with worsening low back pain, warning workers so they can get up and move around before the pain worsens.

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

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.

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

Researchers from the Daegu Gyeongbuk Institute of Science and Technology have developed a faster and more reliable way to print flexible digital devices.

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.

A new non-invasive technique scans “chemical fingerprints” to see if ordinary cells’ reprogramming into stem cells is on track and verify transformation success by matching “print” patterns.

Paris, June 11 – Spending on science worldwide increased (+19%) between 2014 and 2018, as did the number of scientists (+13.7%). This trend has been further boosted by the COVID crisis, according to UNESCO’s new Science Report, The Race against Time for Smarter Development.

The Asia Research News magazine brings you fascinating research stories from diverse voices in environment, technology, materials, medicine, space and social sciences. The 2021 edition is out now.

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

An artificial intelligence approach extracts how an aluminium alloy’s contents and manufacturing are related to specific mechanical properties.

Complex algorithms can be taught to predict steel corrosion rates in coastal regions, helping engineers choose the best materials for each location.

New algorithms are much better at estimating the security level of encrypted data.

The National Supercomputing Centre (NSCC) Singapore has awarded the tender for the development of the next generation national supercomputer system plus upgrades to the national storage and research network infrastructure. The new system is expected to provide up to 10 Petaflops (10 PFLOPS) of computing capacity and is eight times more powerful than the current supercomputer. The new supercomputer is the first in a series of systems that will form the backbone of the nation’s future supercomputing resources which will support research in areas like climate change, biomedical science and smart nation activities.