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operators for these notions. Over the past fifty years, such non-classical logics have proved vital in computer science and logic-based artificial intelligence: after all, any intelligent agent must be able
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will interact with Australian and international researchers in the fields of solid-state physics, materials science and nanotechnology, gaining state-of-the-art expertise in these areas of research. "2D
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, reasoning, and improving software iteratively. This project explores the development of agentic AI systems that act as intelligent collaborators: understanding project goals, decomposing problems, writing and
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driven and interdisciplinary approaches. The broader goals of the project will be to empower helpline operators with intelligent systems, improve user experience by understanding the help-seeking
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statistically significant interactions between genomic profiles and drug sensitives remains very challenging due to size and complexity associated with “omics” data and unrevealed pathway dependencies between
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. Adaptive Prior-Dependent Correction Enhanced Reinforcement Learning for Natural Language Generation. Proceedings of the AAAI Conference on Artificial Intelligence, 35(14), 2021 Seitzer, Maximilian, Bernhard