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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 from mobile devices and classify them into different categories or types of ringtones. The...
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Students who are experience difficult personal circumstances Total scholarship value Up to $30 000 Number offered One See details Kayla Humphrey Pauline Gandel Scholarship Coming from regional Victoria
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, computer games) and a wide variety of solution methods have been proposed. Once a plan is computed, execution proceeds under the supervision of a human operator who is free to modify and adjust the plan
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that are constructed in a way that is inspired by what we know about self-awareness circuits in the brain and the field of self-aware computing. The project will advanced state of the art AI for NLP or vision or both
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Motorola Solutions Leap Scholarships Industry Leaders Scholarship The Motorola Solutions Leap Scholarships are designed to support students pursuing a Bachelor of Paramedicine (Honours) or a Master of Specialist Paramedic Practice. These scholarships aim to help equip the next generation of...
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and/or background checks required for the role, as determined by the University. Eligibility requirements: Candidates will need to fulfil the Monash University minimum requirements for admission to a
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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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of a proof-of-concept prototype in partnership with law-enforcement, higher-education, and commercial organisations. It will involve the gathering of multi-stakeholder organisational requirements and the
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In collaboration with people from Monash materials engineering, neuroscience and biochemistry we are developing living AI networks where neurons in a dish are grown to form biological neural
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healthcare, finance, environmental monitoring, and beyond. While recent advancements in foundation models have shown tremendous success in NLP and computer vision, the unique characteristics of time series