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NMT models where sufficient parallel corpora are not available (eg [1,2]). This project investigates methods to enable high performing NMT in low-resource scenarios. [1] Neural Machine Translation for
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NMT models where sufficient parallel corpora are not available (eg [1,2]). This project investigates methods to enable high performing NMT in low-resource scenarios. [1] Neural Machine Translation for
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technologies that address the real-world needs of people with disability. These might, for instance, utilise conversational agents, computer vision, mixed reality, wearables etc. Disability
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-Hellman systems) could be potentially broken using an efficient algorithm running on a hypothetical quantum computer based on the principles of quantum mechanics. This potential threat remains a
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knowledge Applicants should have strong knowledge in a discipline or background that supports them to undertake the proposed project (e.g. human-centred computing/ computer science, engineering, social
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knowledge Applicants should have strong knowledge in a discipline or background that supports them to undertake the proposed project (e.g. human-centred computing/ computer science, engineering, social
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study the properties of such explanations, present algorithms for automatically computing them as well as extensions to existing frameworks and evaluate their performance both empirically and through
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study the properties of such explanations, present algorithms for automatically computing them as well as extensions to existing frameworks and evaluate their performance both empirically and through
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optimisation (CP) and mixed-integer linear programming (MILP) can be seen as success stories in computer science. Although the efficiency of the state-of-the-art decision and optimisation procedures
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areas of computer science. ML’s versatility stems from the wealth of techniques it offers, making ML seem an excellent tool for any task that involves building a model from data. Nevertheless, ML