UNSW Sydney is investing A$1.8 million on 4 cutting-edge biomedical projects to create technology-based solutions to address widespread health problems and health issues.
Plans revealed for real-time cross-border payments system between banks in Australia, China, Singapore and Thailand
During Phase 2 of the plan, SWIFT gpi will be connected with existing real-time payment systems within each recipient country, namely Singapore’s FAST, Australia’s NPP, Thailand’s PromptPay and China’s CIPS.
“Technology revolution is inevitable. It is foolish to stand in the way of progress and pretend that there is no downside or need for regulation”, said Minister Balakrishnan.
How A*STAR is enhancing the research ecosystem in Singapore: RIE2020 portal and Future InfoComm System Team applications
A*STAR researchers can look for details, such
as eligibility criteria, funding quantum, opening and close of grant calls, on
all RIE2020 Funding Initiatives provided by the funding agencies under one
centralised online portal.
How A*STAR is enhancing the research ecosystem in Singapore: electronic Chemicals, Biomaterials, Gases Management System
The system has helped to raise productivity and improve legal
compliance by automating inventory updates and monthly reporting, providing a
clear overview of the availability of chemicals within the institute and
reducing the turnaround time for purchases of controlled chemicals.
This is part of the Ministry of Health’s new Licensing Experimentation and Adaptation
Programme which seeks to enable new and innovative healthcare models and
services to be developed and refined in a safe and controlled environment.
Tourism 2.0 is a blockchain-enabled marketplace that connects potential buyers directly to hotels and tour operators.
ANU has welcomed new federal government funding for a landmark project to develop micro-wearable technology to help drive the future of healthcare.
In this project, two new artificial intelligence (AI)
methods were created to scan the entire genomes of 212 gastric cancer tumours
in a few months using computer clusters at the Genome Institute of Singapore
and the National Supercomputing Centre. Such an analysis would have taken 30
years to complete on a standard modern computer.