Computer Science Artificial intelligence

On 14 November 2023, Lingnan University and the Shenzhen Technology and Innovation Commission signed an agreement at the 2023 Assembly of Shenzhen Virtual University Park, announcing that Lingnan University will officially become a member of the Shenzhen Virtual University Park.

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

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.

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.

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.

Osaka Metropolitan University scientists have developed an AI model that accurately estimates a patient’s age, using chest radiographs of healthy individuals collected from multiple facilities. Furthermore, they found a positive relationship between differences in the AI-estimated and chronological ages and a variety of chronic diseases, such as hypertension, hyperuricemia, and chronic obstructive pulmonary disease. In the future, it is expected that AI biomarkers will be developed to predict life expectancy, estimate the severity of chronic diseases, and forecast surgery-related risks.

Osaka Metropolitan University scientists have successfully developed a model that utilizes AI to accurately classify cardiac functions and valvular heart diseases from chest radiographs. The Area Under the Curve, or AUC, of the AI classification showed a high level of accuracy, exceeding 0.85 for almost all indicators and reaching 0.92 for detecting left ventricular ejection fraction—an important measure for monitoring cardiac function.

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.

AI finds the first stars ✨were not alone, Auto-switch for large electronic devices, A metabolite against autoimmune diseases, & Converting fruit waste 🍊🍉into solar stills. Plus in our blog: A career worth doing, a life worth living. Read all in the latest Editor's Choice.

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.

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.

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.

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.

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.

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

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

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

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

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

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.

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

DGIST, NCI, and Kyung Hee Univ. signed a joint research agreement for clinical proteogenomic cancer research

New approach to detect and recover from sophisticated cyberattacks in real time

A brain-inspired computing architecture speeds up complex data processing by running its algorithms inside its memory, significantly saving time and energy.

An AI might soon help stroke survivors get the right treatment by detecting a patient’s post-stroke depression type, a frequently seen neuropsychiatric manifestation after a stroke that could impair functional recovery.

A joint research led by City University of Hong Kong (CityU) has built an ultralow-power consumption artificial visual system to mimic the human brain, which successfully performed data-intensive cognitive tasks. Their experiment results could provide a promising device system for the next generation of artificial intelligence (AI) applications.