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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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Structures to compliment our Biomedical Engineering, Robotics, Artificial Intelligence, Advanced Manufacturing and Automation disciplines. To be successful in this role, you have a doctoral qualification in
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Bednarz. "Explainable ai and reinforcement learning—a systematic review of current approaches and trends." Frontiers in artificial intelligence 4 (2021): 550030.
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expertise in artificial intelligence, human–computer interaction, software engineering, and cybersecurity to help reverse the biodiversity crisis. By enabling ambitious, interdisciplinary, and impact-driven
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: What roles might advancing technologies, such as artificial intelligence, mixed reality displays, context-aware prompts, or embedded feedback, play in supporting diagnostic imaging workflows? Error