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difficult to deploy outside large data centres. This PhD project focuses on developing resource-efficient computer vision methods that maintain strong performance while dramatically reducing computation
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convert solar energy into pressure potential energy, akin to pumping water up to an elevated reservoir but without the need for large natural elevation changes. A great idea in principle, but one which
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on accelerating disruptive technologies in UK manufacturing. Supported by the government, it partners with industry and research bodies to drive innovation across all UK manufacturing sectors, from SMEs to large
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. Novel techniques, such as microscopy, fluorescence microscopy, and light-field imaging allow users to gather more useful information with higher levels of details than ever imagined. However, lots of
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show