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longer sustainable. This project pioneers a new paradigm: we design smart, low-power digital AI co-processors that learn and correct the imperfections of their analog counterparts in real-time. As a PhD
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network capable of both inference and learning, aiming at investigating candidate architectures for ASIC design in a longer-term future beyond the scope of this PhD work. Thesis objectives As part of
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This PhD opportunity at Cranfield University explores how next-generation AI models can be embedded within resource-constrained electronic systems to enable intelligent, real-time performance
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of Science and Engineering, a 4-year interdisciplinary PhD position is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence. The candidate will become a member of
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of Science and Engineering, a 4-year interdisciplinary PhD position is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence. The candidate will become a member of
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of Science and Engineering, a 4-year interdisciplinary PhD position is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence. The candidate will become a member of