grant

Linkage Infrastructure, Equipment and Facilities - Grant ID: LE160100090 [ 2016-04-11 - 2017-12-31 ]

Research Grant

[Cite as http://purl.org/au-research/grants/arc/LE160100090]

Researchers: A/Prof Anthony Dick (Chief Investigator) ,  Ajmal Mian (Chief Investigator) ,  Anton van den Hengel (Chief Investigator) ,  Chunhua Shen (Chief Investigator) ,  Dinh Phung (Chief Investigator)
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Brief description Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models: \nThe 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.

Funding Amount $250,000

Funding Scheme Linkage Infrastructure, Equipment and Facilities

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