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through practice-led learning, supporting their development in film, video and emerging screen forms while fostering strong links between theory and practice. You will also have a strong emerging research
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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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This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer
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learning is vulnerable to spurious correlations, novel causal discovery and inference methods will be developed to identify and reason over causal relationships among all associations from fused data. As the
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visuals, performing spatial and temporal reasoning, and managing multi-step decision-making tasks. By developing specialised models for spatial reasoning and enhancing the integration of map-based tools
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systems and its impact on human decision-making, trust, and regulatory design. The rapid evolution of AI, from generative models that produce text and recommendations to agentic AI systems that autonomously
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training and undertake professional development to support enabling supervision practice. We understand this as an important and on-going area of professional development for all our supervisors
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University of Warwick (UK), explores the design and development of computational Decision Support tools to help us better manage the interactions between beneficial insects, such as bees, and the flowering
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Agent-based computational simulations are now widely employed to study the evolution of behaviour, e.g., predator-prey simulations, the evolution of cooperation and altruism, the evolution of niches
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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