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Improving fleet-based decision-making with causal artificial intelligence (S3.5-MAC-Hughes) School of Mechanical, Aerospace and Civil Engineering PhD Research Project Competition Funded Students
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Life cycle assessment of renewable chemical production with artificial intelligence School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK/EU Students Dr
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Artificial intelligence and machine learning methods for model discovery in the social sciences School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Robin Purshouse
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leverage the recent advances in the implementation of artificial intelligence in drug discovery to develop an accelerated workflow for the discovery and experimental validation (synthesis and evaluation
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delay discoveries by years. This project will solve that problem. You will not only develop intelligent software inspired by the latest artificial intelligence, but you will also travel to these world
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. Electricity of the future will bind together generation, energy storage and demand through communications and artificial intelligence forming a low-carbon smart grid. However, this vision is only achievable
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traditional data analysis techniques. Additionally, the project will explore potential applications of TDA in artificial intelligence, emphasizing the significance of integrating these techniques in broader AI
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. Additionally, the project will explore potential applications of TDA in artificial intelligence, emphasizing the significance of integrating these techniques in broader AI contexts, which is increasingly
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combining two exciting areas of research: 3D human modelling and large-scale artificial intelligence systems known as “foundation models.” The first step will be to create accurate 3D models of the human body
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-to-failure dataset is then fed into powerful Artificial Intelligence algorithms, particularly time-series Neural Networks. These models learn the complex sequence of events that reliably precedes performance