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FL; 3) Design and optimise task-specific FL algorithms for NLP and Medical AI; 4) Design and implement a user-friendly FL framework for both research and technology adoption purposes. We expect
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the overall support for individuals seeking help for addiction. Students will be able to, for example: Apply AI, ML, and NLP techniques to develop intelligent systems capable of understanding and responding
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Generative AI NLP skills System security Software testing To be eligible you must have: A first-class honours (H1) Bachelor’s degree or equivalent in the relevant research area (completed or near
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mathematical models for business optimisation problems. The project will utilize advances in multiple current AI technologies, in particular natural language processing (NLP) and novel ideas in combinatorial
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This PhD project aims to mitigate the data scarcity of new NLP and Multimodal applications by developing novel active learning algorithms. In this project, the student will leverage large foundation
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Despite the popularity of providing text analysis as a service by high-tech companies, it is still challenging to develop and deploy NLP applications involving sensitive and demographic information
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of Data Science of Technologies) won a recent deep learning passage retrieval competition at TREC 2019 by a clever combination of deep NLP and IR. Required knowledge Practical knowledge of using modern deep
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for identifying key distal radius fracture characteristics and treatment details using technologies invented in the joint area of NLP and CV, via bringing in the domain expertise.
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include learning to learn and meta-learning, active learning, semi-supervised learning, multi-task learning, transfer learning, and learning representations for NLP. Techniques include deep generative
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the simple equation that more training data = better performance. Learning—in particular, the advanced deep learning methods, like BERT for NLP and ResNet for image processing—often require thousands