Computer Science Artificial intelligence

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.

New collaboration between Japan’s RIKEN Center for Computational Science (R-CCS), Research Organization for Information Science and Technology (RIST) and National Supercomputing Centre (NSCC) Singapore, will allow Singapore scientists to directly tap on Japan’s Fugaku supercomputer to do ground breaking research, enhance educational activities and develop talent in high performance computing (HPC).

Scientists devise a 2D-material–based stacked structure with applications in reducing computing power consumption

Thirty Teams Across the Asia Pacific Region Participated in the Six-Month Competition that Trains Student Teams to Practice and Produce Solutions using HPC and AI Platforms.

A design team, affiliated with South Korea's Ulsan National Institute of Science and Technology (UNIST) honored with 2020 iF Design Awards in the communication design category.

A group of students, affiliated with South Korea's Ulsan National Institute of Science and Technology (UNIST) has created a map to help track the spread of the COVID-19 in Ulsan region.

Separate partnership with National Supercomputing Centre to enable Singapore Polytechnic’s staff and students to develop AI innovations for local industries

ITE to leverage the power of high performance computing (HPC) for use in applied AI projects, workshops and training, and HPC-related student competitions in ITE-NSCC Singapore collaboration.

Hong Kong Baptist University (HKBU) has established six interdisciplinary research laboratories that expand on the University’s existing research strengths.

Singapore's National Supercomputing Centre fast track access for researchers involved in COVID-19 research. Applications are open from now until 23 September 2020.

Point set registration problems, i.e. finding corresponding points between shapes represented as point sets, are important in a variety of fields, so algorithms have been developed. Here, a new algorithm is discovered for point set registration problems. This algorithm is demonstrated to solve several typical problems remarkably faster than conventional methods and with the highest accuracy. This novel algorithm will be beneficial to a wide variety of technologies including computer graphics, computer vision, authentication etc.

A design team, affiliated with South Korea's Ulsan National Institute of Science and Technology (UNIST) has been honored at the international design competition, iF Design Awards 2020.