Industrial Transformation Research Hubs - Grant ID: IH170100013
Funder
Australian Research Council
Funding Amount
$2,962,655.00
Summary
ARC Research Hub for Digital Enhanced Living. The ARC Research Hub for Digital Enhanced Living aims to address the growing challenges of aging people living in their own home or residential care. This will be through inventing new personalised medical technologies through an innovative approach, with a multi-disciplinary team leveraging diverse expertise. An enhanced capacity to create and deploy fit-for-purpose personalised health solutions will result in revenues from new and repurposed device ....ARC Research Hub for Digital Enhanced Living. The ARC Research Hub for Digital Enhanced Living aims to address the growing challenges of aging people living in their own home or residential care. This will be through inventing new personalised medical technologies through an innovative approach, with a multi-disciplinary team leveraging diverse expertise. An enhanced capacity to create and deploy fit-for-purpose personalised health solutions will result in revenues from new and repurposed devices, analytics and integration platforms. New jobs and improved care will see cost reductions, better use of resources and enhanced mental, physical and social well-being.Read moreRead less
Sustainability in Computing: A Holistic View. Green computing must provide sustainable processing capabilities with high energy efficiency (lower carbon footprint) and increased product longevity (reducing the need for product replacement). While advances in technology have afforded significant reduction in power requirements, they come with inherent challenges due to uncertainties in micro-scale behaviour, high complexity of quantifying/optimising energy cost or system lifetime in extreme scale ....Sustainability in Computing: A Holistic View. Green computing must provide sustainable processing capabilities with high energy efficiency (lower carbon footprint) and increased product longevity (reducing the need for product replacement). While advances in technology have afforded significant reduction in power requirements, they come with inherent challenges due to uncertainties in micro-scale behaviour, high complexity of quantifying/optimising energy cost or system lifetime in extreme scale computing, and the interaction of non-computing components with individual computing systems. This project addresses these challenges via a holistic, multi-scale paradigm for modelling, analysis, and optimisation of energy cost, carbon footprint, and product lifetime in emerging computing systems.Read moreRead less