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Artificial Intelligence (AI) models are widely used in decision making procedures in many real-world applications across important areas such as finance, healthcare, education, and safety critical
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this question into several independent questions. This project will also contribute to an effort at Monash University in developing neuro-symbolic artificial intelligence methods. Required knowledge This project
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Antimicrobial resistance (AMR) is one of the most significant and immediate threats to health in Australia and globally. We are working on harnessing new technologies such as artificial intelligence
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intelligence techniques (e.g., Deep Learning, Statistics, ML, Optimization) in order to (1) understand the nature of critical software defects like vulnerabilities; (2) predict; (3) highlight vulnerable code; (4
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working on harnessing new technologies such as next-generation sequencing and artificial intelligence to improve the diagnosis, treatment and prevention of AMR infections. The specific aims of this project
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Project description: On behalf of the Victorian Orthopaedic Trauma Outcomes Registry (VOTOR), we will establish the role of artificial intelligence (AI) deep learning to improve the prediction
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intending to undertake a PhD with a focus on teachers’ engagements with artificial intelligence (AI) in secondary schools. We are looking for ideas for PhD projects that resonate with our new three-year
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for solving them Note: It is okay if you are still developing skills in some of the above areas. Background This work is in support of a proposed larger project investigating the potential of Artificial
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existing areas of focus, including Mechanical Engineering, Aerospace Engineering, Biomedical Engineering, Robotics, Artificial Intelligence, Advanced Manufacturing or Automation. To be successful in
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Creativity. This project aims to develop explainable models for creative Artificial Intelligence systems that enable productive and high-quality interactions between AI systems and their human co-creators