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systems are based on the Cassowary algorithm , developed in part by Monash researchers. While constraint-based layout is powerful, it can be difficult for users to understand the interactions and behaviour
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produced, ‘is this image part of a series’, and/or ‘have we seen an image from a similar place or time before’? This inference needs to be done by extraction and recognition of relevant features from
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development in the field’ [8]. As part of a large, active Australian Research Council funded group, this project will build on these foundations to develop new technologies for supervised machine learning from
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applicant will work as part of a larger research team. Reasoning and decision making under uncertainty is an essential challenge in medicine, the law, and many other key domains. The best AI systems
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will work as part of a larger research team on this project which includes multiple industry partners. The objective of the Actionable Data project is to develop and prove a reusable framework for
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an understanding of how students make use of the received feedback or the #sustainability of such feedback practice. As technology-mediated feedback becomes an integral part of learning, there is growing urgency in
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models to desing institutions to do science better: these may include contests in grant-seeking, review process for publications, ways to diseminate scientific findings and other mechanisms that are part
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Monash Indigenous Research Award Monash Indigenous Research Awards (MIRA) is part of a support package provided by Monash University to support Indigenous Australian students undertaking Research
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each year Total scholarship value Up to $6,000 Number offered up to 10 annually See details Bachelor of Commerce and Bachelor of Information Technology Irena The toughest part about studying was not only
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, intelligent components learn their decision logic from data corpus in an end-to-end manner and act as a black box. Without rigorous validation and verification, intelligent solutions are error-prone especially