Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100205
Funder
Australian Research Council
Funding Amount
$150,000.00
Summary
A novel high-pressure system for multiple gas adsorption. This facility will equip researchers with analytical capabilities for research in the field of multi-gas adsorption. The facility will be of great significance to clean energy research, such as greenhouse gas emission control and hydrogen production and storage.
Single-atom catalysts for electrochemical carbon dioxide conversion. This project aims to develop a new synthetic technique for the fabrication of template-free and metal single-atoms embedded in doped carbon nano tubes. It will generate fundamental knowledge about multiple proton and electron transfer steps in carbon dioxide (CO2RR) using in-situ synchrotron characterisation techniques. Expected outcomes of the research include the development of new single-atom catalysts for production of the ....Single-atom catalysts for electrochemical carbon dioxide conversion. This project aims to develop a new synthetic technique for the fabrication of template-free and metal single-atoms embedded in doped carbon nano tubes. It will generate fundamental knowledge about multiple proton and electron transfer steps in carbon dioxide (CO2RR) using in-situ synchrotron characterisation techniques. Expected outcomes of the research include the development of new single-atom catalysts for production of the key feed-stock of CO for sustainable use in hydrocarbon fuels, providing significant benefits in the reduction of greenhouse emissions.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100090
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object ....Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object recognition in images, speech recognition and automatic translation, bringing the prospect of machine intelligence closer than ever. Modern machine learning techniques have had huge impact in the last decade in fields such as robotics, computer vision and data analytics. The facility would enable Australian researchers to develop, learn and apply deep networks to problems of national importance in robotic vision and big data analytics. Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE200100049
Funder
Australian Research Council
Funding Amount
$900,000.00
Summary
Whopping Volta GPU Cluster – Transforming Artificial Intelligence Research. Artificial intelligence (AI), as it continues to grow and evolve, is taking an increasingly leading role in strategic plans of the world’s leading economies, IT companies, and universities, with the promise to be a key driver in innovation, science, education, and society. This project will establish a whopping Volta graphical processing unit Cluster (wVGC) with the aim of smashing current impediments to compute-intensiv ....Whopping Volta GPU Cluster – Transforming Artificial Intelligence Research. Artificial intelligence (AI), as it continues to grow and evolve, is taking an increasingly leading role in strategic plans of the world’s leading economies, IT companies, and universities, with the promise to be a key driver in innovation, science, education, and society. This project will establish a whopping Volta graphical processing unit Cluster (wVGC) with the aim of smashing current impediments to compute-intensive AI research. The wVGC features a contemporary HPC system equipped with 120 most advanced NVIDIA Volta GPUs distributed in 30 high capable nodes. The wVGC will transform AI research in Australia, putting us on the same footing as leading research groups around the globe, and at the forefront of the world’s AI revolution.Read moreRead less