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network integration for emerging low-energy opto-electronic AI systems and beyond. The challenge: Machine learning and neural networks are super-charging the complexity of problems that computer algorithms
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of light. [1][2] This emerging technology holds enormous potential, offering routes towards new forms of highly parallelised information processing (optical computing), point-of-care diagnostics, next
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Fuel cells and water electrolysers are key technologies for the transition to a low-carbon energy system, enabling the efficient conversion between chemical and electrical energy and supporting
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The University of Exeter’s Department of Engineering is inviting applications for a PhD studentship fully funded by the department to commence on September 2026 or as soon as possible thereafter