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estimation, confidence calibration, model routing, token selection, early exiting, adaptive visual processing, and efficient use of multiple foundation models. The work will combine algorithm development with
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Skip to main content Main Menu - Primary Home Projects Supervisors Contact Immersive Visualization of Protein Structures in Food Science Using VR/AR Primary supervisor Wai Peng Wong Research area
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about building another generic fake-news detector, hate-speech classifier, or misinformation detection model. The project is not focused only on traditional privacy protection such as hiding names, emails
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candidates with an undergraduate or postgraduate qualification in a computing discipline such as data science, artificial intelligence, machine learning or computer science. which has included training in
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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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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