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time challenges in managing data volumes (especially given the 3D format), and impacts related to digital slide and storage formats the relationship of these issues to Quality Assurance programs in
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Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of a different source person. This process creates videos where
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experience in end to end event management managing a portfolio of multiple events, have a track record leading teams in complex environments and have excellent relationship building skills with a diverse range
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are inherently interpretable for people, MDPs with thousands of states are difficult to understand by humans. The K-MDP problem is the problem of finding the best MDP with, at most, K states by leveraging state
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digital literacy. Adaptability: A comfort with agile ways of working and a desire to stay ahead of global library trends. Relationship Skills: The ability to build trust and sustain effective connections
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leaders in technology and beyond. Knowledge and background Applicants should have strong knowledge in a discipline or background that supports them to undertake the proposed project (e.g. human-centred
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into AI systems or mathematical and computational models of brain function. This project would be for someone who wishes to pursue a deeper understanding of humans and machines and the meaning this has
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an ever growing range of practical applications, many of which will have to do with various aspects of humans' lives including privacy and safety. As AI models on occasions fail, support biased decisions
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On-device machine learning (ML) is rapidly gaining popularity on mobile devices. Mobile developers can use on-device ML to enable ML features at users’ mobile devices, such as face recognition
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profiled by Monash University in promotions (such as website, video, etc.) and/or act as Monash University ambassadors. How to apply You must submit a separate application form for this scholarship. You