Supporting Responses To Commonwealth Science Council Priorities - Grant ID: CS170100008
Funder
Australian Research Council
Funding Amount
$209,346.00
Summary
Deployment of artificial intelligence and what it presents for Australia. This project aims to explore the opportunities, risks and consequences of broad uptake of artificial intelligence (AI) and to collate evidence on the economics, social perspectives, research capabilities and environmental impacts. As AI becomes more advanced, its applications will become increasingly complex in applications in homes, workplaces and cities. Taking an interdisciplinary approach to explore the opportunities, ....Deployment of artificial intelligence and what it presents for Australia. This project aims to explore the opportunities, risks and consequences of broad uptake of artificial intelligence (AI) and to collate evidence on the economics, social perspectives, research capabilities and environmental impacts. As AI becomes more advanced, its applications will become increasingly complex in applications in homes, workplaces and cities. Taking an interdisciplinary approach to explore the opportunities, risks and benefits of AI, this project will examine the economic, social, ethical and cultural aspects of deployment and will present a set of key findings to guide and support policy making over the next decade.Read moreRead less
Advancing the visualisation and quantification of nephrons with MRI. . This project aims to characterise key components of nephrons, the glomeruli and tubules, using magnetic resonance imaging without contrast agents, in combination with Deep Learning and super-resolution techniques. Nephrons, the basic functional unit of the kidney, are critical to the maintenance of the body’s homeostasis. Their number and architecture are critical determinants of kidney function. The expected outcomes are inn ....Advancing the visualisation and quantification of nephrons with MRI. . This project aims to characterise key components of nephrons, the glomeruli and tubules, using magnetic resonance imaging without contrast agents, in combination with Deep Learning and super-resolution techniques. Nephrons, the basic functional unit of the kidney, are critical to the maintenance of the body’s homeostasis. Their number and architecture are critical determinants of kidney function. The expected outcomes are innovative semi-automated nephron visualisation and quantitation tools that enable efficient renal phenotyping. Techniques tailored to widely accessible preclinical research scanners are expected to accelerate research into genetic and environmental factors affecting kidney microstructure in embryonic and post-natal life.Read moreRead less
Design of adaptive learning visual sensor networks for crowd modelling in high-density and occluded scenarios. Partnering University of Melbourne researchers, with video surveillance experts SenSen, engineering consultants ARUP and the Melbourne Cricket Club, the project addresses research enabling a system-integrating, existing surveillance, infrastructure to model crowd behaviour and exit strategies, providing real-time analysis, prediction and response capabilities for venue managers and emer ....Design of adaptive learning visual sensor networks for crowd modelling in high-density and occluded scenarios. Partnering University of Melbourne researchers, with video surveillance experts SenSen, engineering consultants ARUP and the Melbourne Cricket Club, the project addresses research enabling a system-integrating, existing surveillance, infrastructure to model crowd behaviour and exit strategies, providing real-time analysis, prediction and response capabilities for venue managers and emergency services. This new capability enhances utilisation of security resources to prevent injury and fatalities in evacuation scenarios, applicable to existing venues and influencing the development of new facilities around the country. The project delivers researcher training, global clientele for local technology and a platform for local industry growth.Read moreRead less