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the development of Explainable AI Systems that can provide explanations of AI agent decisions to human users. Past work on plan explanations primarily focused on explaining the correctness and validity of plans. In
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conflict, Jewish cultural studies and the modern Middle East. The role will support the Jewish Studies and the Holocaust and Genocide Studies minor through the development and delivery of lectures, seminars
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This project focuses on developing algorithms capable of automatically identifying and categorizing mobile ringtones. This involves leveraging machine learning techniques to analyze audio signals
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the brain. This wouldn't be a typical machine learning PhD, as many aspects can only be examined on a philosophical and theoretical level. There may be scope to implement aspects in the ideas you develop
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site approvals Developing briefings, position papers, presentations and project documentation Coordinating meetings and providing executive support to project committees Liaising with internal and
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Coordinator, you’ll be key to Climateworks’ mission to shift Australia’s public policy and climate action. You’ll work across our systems teams to facilitate and support development of the insights, evidence
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We are seeking a motivated PhD candidate to work on unsupervised music emotion tagging within the broader field of affective computing. The project aims to develop reproducible machine learning
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to concentrate on my academics and professional development. My professional path has been greatly influenced by the opportunities it has created for skill development, including networking events and involvement
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optimisation Large-scale data processing Intelligent and educational analytics Rather than replacing classical systems, the project will develop hybrid architectures where quantum components assist specific
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Minimum Message Length (MML) is an elegant information-theoretic framework for statistical inference and model selection developed by Chris Wallace and colleagues. The fundamental insight of MML is