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innovating interesting models to address different aspects of this problem (eg [1,2]). [1] Sequence to Sequence Mixture Model for Diverse Machine Translation Xuanli He, Gholamreza Haffari, Mohammad Norouzi In
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search is guided simultaneously by multiple contrasting objectives: maximising the QA resources on software modules that are risky, severe, and affect a large number of end-users, while minimising the cost
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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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explore current techniques such as fine-tuning, model alignment, prompt engineering and Retrieval Augmented Generation (RAG) to improve reliability of generated recommendations for two cases of chronic
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prioritisation whilst working independently and as part of the team. It would suit applicants who can manage multiple tasks with confidence. About Monash University At Monash , work feels different. There’s a
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Mixed-Integer Programming (MIP) solvers are very powerful tools to solve combinatorial problems that arise in many industries. Modern MIP solvers usually run a sequence of algorithms to solve
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translates to this new method. This concept is aligned with a recently-developed terminology and conceptual model for blended real and virtual data representations, namely proxsituated (proxy of situated
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Monash Graduate Impact 2030 Scholarship These scholarships are awarded to students whose research aligns with one of the University Global Challenges (e.g. Thriving Communities, Climate Change and
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ATM networks, and are widely used for consumer services such as voice, multimedia and data services. While many medical applications are well aligned with the technology used in consumer applications
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domains requires consideration of a number of legal issues. In moving from investigative support tools to a more prominent role in a brief of evidence, AI capabilities need to align with the legal and