Artificial Intelligence

They say two heads are better than one. But in the world of fish, it appears two fins are better than one. Researchers have produced a theoretical model that demonstrates the underlying mechanisms behind how fish will synchronize their fin movements to ride each other’s vortices, thereby saving energy.

- Professor Park’s research team at DGIST successfully develops AI for pathological image analysis that can accurately segment overlapping cell nuclei using only rough labels - Improved efficiency in diagnosing diseases and predicting the prognosis of patients by analyzing the microenvironment of pathological images... published in MICCAI, a top journal in the field of artificial intelligence

- Professor Sung-hoon Im’s research team at DGIST has developed automated search technology that can find an optimal deep learning network architecture by learning the relationship between tasks. - It is expected to greatly contribute to advances in AI technology, such as autonomous driving, which simultaneously performs multiple tasks, including object detection, lane recognition, and distance estimation.

- Successfully developed federated learning AI, which can enable large-scale model learning and work without violating privacy with only a single model transfer - Collaborated with Stanford University on a model for generating high-quality brain MRI images... Published 2 papers in MICCAI

- Professor Park’s research team at DGIST has successfully developed domain-adaptive AI specialized in medical images - Contributes to saving cost and time in developing deep learning models for multi-center medical image analysis

- The developed image translation model can yield accurate classification results despite the use of biased data for the training of a deep learning model. - This solution is expected to be applied in various fields, such as self-driving, content creation, and medicine.

New perspective argues pursuing fair AI for healthcare requires cross-disciplinary collaboration to translate methods into real-world benefits.

The latest ‘large language model’ artificial intelligence system, GPT-4, could aid chemistry researchers, but limitations reveal the need for improvements.

Asia Research News monitors the latest research news in Asia. Some highlights that caught our attention this week are radiation blasts that come from outer space, a new way of seeing the Earth’s core, and a prosthetic socket that fills in the gaps.

In a recent publication in EPJ Quantum Technology, Le Bin Ho from Tohoku University’s Frontier Institute for Interdisciplinary Sciences has developed a technique called "Time-dependent Stochastic Parameter Shift" in the realm of quantum computing and quantum machine learning. This breakthrough method revolutionizes the estimation of gradients or derivatives of functions, a crucial step in many computational tasks.

Asia’s premier technology-matching platform returns for its 11th edition from 31 October to 2 November at Marina Bay Sands.

Sarawak also launches Digital Economy Blueprint 2030 as part of its vision to become a digital economy powerhouse in the region

Researchers from Osaka University have developed a data-driven AI algorithm for controlling the heating and cooling of an office building. The system does not require ambient sensors or specific knowledge of the building’s rooms. During heating operations, the system was able to achieve energy savings of up to 30%, which can represent significant reductions to cost and environmental impact.

Insect cyborgs may sound like something straight out of the movies, but hybrid insect computer robots, as they are scientifically called, could pioneer a new future for robotics. It involves using electrical stimuli to control an insect’s movement. Now, an international research group has conducted a study on the relationship between electrical stimulation in stick insects' leg muscles and the resulting torque (the twisting force that causes the leg to move).

Lingnan University celebrated the achievements of 50 faculty members during the Research and Knowledge Transfer Excellence Awards Presentation Ceremony 2023 held on 21 September. These awards recognise their outstanding performance in academic research and knowledge transfer in raising quality of life and contributions to society.

Scientists have revealed that the outer part of our brain (the cortex) is skilled at managing all the info it gets from the outside world thanks to special groups of nerve connections called modules, which work together but also independently.

The physical laws of everyday water flow were established two centuries ago. However, scientists today struggle to simulate disrupted water flow virtually, e.g., when a hand or object alters its flow. A research team from Tohoku University has harnessed the power of deep reinforcement learning to replicate the flow of water when disturbed. The replication allowed for recreating water flow in real time based on only a small amount of data, opening up the possibility for virtual reality interactions involving water.

To address the lack of suitable training data for deep-learning semantic segmentation models in urban landscaping, researchers from Osaka University developed a method that generates a training dataset without the need for real images or a model of an existing city. The method, which is based on procedural modelling and image-to-image techniques, enables segmentation models to achieve comparable performance under some conditions at a fraction of the cost of real dataset generation.

Lingnan University’s Faculty of Business signed a Memorandum of Understanding (MoU) with Lenovo PCCW Solutions (LPS), announcing a shared commitment to cultivating the next generation of tech talents. The partnership aims to capitalize on LPS’ experience as a leading technology solutions powerhouse to provide students with additional experience in AI and digital technologies, connecting the dots from academia to technology field adoption.

Precisive real-time prediction of the movement of nearby vehicles or the future trajectory of pedestrians is essential for safe autonomous driving. A research team led by City University of Hong Kong (CityU) recently developed a novel AI system that improves predictive accuracy amid dense traffic and increases computational efficiency by over 85%, offering great potential for enhancing the safety of autonomous vehicles.

Machine learning model provides quick method for determining the composition of solid chemical mixtures using only photographs of the sample.

The search for innovative materials will be greatly assisted by software that can suggest new experimental possibilities and also control the robotic systems that check them out.

Japanese fossil forest found, AI finds a way to people’s hearts, Language diversity and child social development & Supplement for kidney disease. Plus Submissions open for Asia Research News 2024. Read all in the latest Editor's Choice.

Innovators from 10 Countries Compete for the Coveted Advanced Healthcare and Life Sciences International Innovation Awards at MTE 2023

Newcastle University (UK) and the Energy Research Institute at Nanyang Technological University hosted a UK-Singapore symposium funded by the UK Government in April 2023. It aimed to foster partnerships and research for widespread electric vehicle adoption. The event featured discussions on technology, economics, and policy over three days, encouraging joint collaboration in advanced electric transport research and commercialization.

Asia Research News monitors the latest research news in Asia. Some highlights that caught our attention this week are the potential of harvesting energy from rainfall, a new method of geolocation that can see underground, and how AI can use a single photo to make you dance.

Asia Research News monitors the latest research news in Asia. Some highlights that caught our attention this week are sea sludge that documents human impact on the Earth, a cloak that could passively control temperatures, and an algorithm that can be used to help preserve a Philippine writing system.

A new method for connecting neurons in neuromorphic wetware has been developed by researchers from Osaka University and Hokkaido University. The wetware comprises conductive polymer wires grown in a three-dimensional configuration, done by applying square-wave voltage to electrodes submerged in a precursor solution. The voltage can modify wire conductance, allowing the network to be trained. This fabricated network is able to perform unsupervised Hebbian learning and spike-based learning.

Asia Research News monitors the latest research news in Asia. Some highlights that caught our attention this week are whether octopuses have dreams, an app that can tell you if your cat is in pain, and interchangeable arms for cyborg dancing.

The brain is a highly efficient, sophisticated information processing system. To achieve maximum efficiency, it can store reservoirs of interconnected nodes that transform input signals into a more complex representation. This has inspired a theoretical computational model known as reservoir computing. A research team has recently harnessed this model to analyze the computational capabilities of an artificially cultured brain composed of neurons derived from the cerebral cortex of rats.