Artificial Intelligence

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.

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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.

Asia Research News monitors the latest research news in Asia. Some highlights that caught our attention this week are ice-free Arctic summers, how monkey malaria gets transmitted, and over 300 new species discovered in the lower Mekong.

Tests could soon identify patients who will respond well to the available treatment for chronic myeloid leukaemia and those who will be resistant to it—which could improve their chances of survival.

Two key challenges in chemistry innovation are solved simultaneously by exploring chemical opportunities with artificial intelligence.

Philip M. Parker, INSEAD Chaired Professor of Management Science and founder of the INSEAD AI lab called TotoGEO, has developed TotoPoetry – a poetry generator trained on a rule-oriented approach to AI.

To discover and preserve conservation laws in the data of physical phenomena, researchers from Osaka University developed FINDE, which uses a neural network to represent the underlying conservation laws of a system as opposed to its superficial dynamics. Experiments demonstrated that energy and mass conservation laws, spatial symmetries, and constraints were discovered and preserved, indicating the potential of FINDE to contribute to the development of computer-aided engineering and physics simulations.

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Atopic dermatitis skin lesions and the lesions produced by infectious complications of the disease look so similar that it makes it impossible for patients to spot the difference and know when to visit their doctor for treatment. But an AI-powered mobile app developed by dermatologists now puts the power of diagnosis in the hands of patients.

Asia Research News monitors the latest research news in Asia. Some highlights that caught our attention this week are how hanging out with friends can keep you healthy, eggs made from male mice, and taking one step closer to a machine that can read our minds.

Asia Research News monitors the latest research news in Asia. Some highlights that caught our attention this week are the discovery of a dinosaur larynx, 3D-printed contact lenses that use AR, and a leggy robot spider that can fly.

Researchers used a chemical synthesis robot and computationally cost effective A.I. model to successfully predict and validate highly selective catalysts.

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.

Hong Kong Baptist University (HKBU) took an important step forward in heralding a new cinematic experience for the future by establishing the Visualisation Research Centre recently. The Centre is home to the world’s first 360-degree immersive LED Visualisation Cinema and the 180-degree iDome Cinema.