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energy; thereby minimising farming’s environmental impact. AI machine learning offers a new expedient method of developing control systems for tasks that would be difficult to manage using classical
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Primary supervisor - Prof Kate Kemsley Join us to research and develop advanced analytical methods for tackling food fraud head-on! Economically motivated adulteration of foods is a significant
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. For more details, please see: https://www.ukri.org/what-we-do/developing-people-and-skills/epsrc/studentships/industrial-case/ . Supervisor(s): Prof. Mike Antoniou and Prof. Marina Gashinova
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techniques, would be an advantage. The ideal candidate will have a deep interest in the algorithms that power graphics and a creative mindset, eager to think outside the box and develop novel solutions
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historical data is available. This project aim for two key research advances: first, the development of a new human-in-the-loop active learning framework [2, 3], which uses conversational AI to negotiate key
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like the target voice, such as competing voices, which are particularly challenging for noise reduction algorithms currently employed in hearing aids. With multimodal hearing aids, which capture a
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development over the last two decades. This research topic aims to define novel approaches to developing and combining these intelligences, utilizing both 1st and 2nd wave AI approaches, in the context