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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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biodiversity and sustainability research. The initial objective is to use deep learning techniques to perform acoustic species identification in real-time on low-cost sensing devices coupled to cloud-based
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Although deep learning has produces state of the art results on many problems, it is a data hungry technology requiring a lot of human supervision in the form of annotated data. Potential PhD topic
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Over the past decades, we have witnessed the emergence and rapid development of deep learning. DL has been successfully deployed in many real-life applications, including face recognition, automatic
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. This is indeed what AIC, BIC, MDL and MML would anticipate. And yet deep learning methods can often work despite this. This project investigates how deep learning can survive over-fitting and whether
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will engage in software development using deep learning, natural language processing, and large language models (LLMs). This position is embedded within a commercialization initiative focused on
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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: Tertiary qualification in a relevant discipline and/or substantial experience in change management. Accreditation in Prosci or a similar change management methodology and deep experience with change
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their valuable contributions and deep connection to country and pay respect to Elders past and present. Pivotal leadership role supporting student and staff success Opportunity to play a central role to support
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PRIMARY DETAIL Are you passionate about making a meaningful difference in the lives of students with diverse learning needs? Join our supportive and collaborative team at MUSEC to inspire and