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truthtfulness. Moreover, the training and theory of LLMs has no notion of epistemic uncertainty. Recently AI researchers pushing world models address this problem and one alteBeinrnative is training objectives
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candidate will work under the supervision of Professor Martin Wechselberger (The University of Sydney) and collaborate closely with Dr. Theodore Vo (Monash University), and the well-established international
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Epilepsyecosystem.org as a way to bring researchers, code and data together from all over the world to help solve the problem of seizure prediction. Required knowledge Machine learning, AI, signal processing, dynamical
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PhD Scholarship opportunity: Applied Economics on Patient-Centred Evaluation of medical devices (PACE) Job No.: 689544 Location: Caulfield campus Centre for Health Economics, Monash University
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The relationship between the information-theoretic Bayesian minimum message length (MML) principle and the notion of Solomonoff-Kolmogorov complexity from algorithmic information theory (Wallace and