Website
http://dataportal.arc.gov.au/NCGP/API/grants/LE160100090
Funding Status
Closed
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Funded Activity 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 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.Funded Activity Details
Start Date: 04-2016
End Date: 12-2017
Funding Scheme: Linkage Infrastructure, Equipment and Facilities
Funding Amount: $250,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Adaptive Agents and Intelligent Robotics | Pattern Recognition and Data Mining | Computer Vision | Artificial Intelligence and Image Processing
