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. Reconfigurable AI-Embedded Systems – Develop adaptive FPGA/ASIC architectures that dynamically reconfigure based on AI workloads, optimising performance, energy efficiency, and functionality. AI for High
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into the co-design of ultra-low-power AI hardware architectures tailored for edge computing applications. The research aims to develop neuromorphic processors, FPGA/ASIC-based AI accelerators, and intelligent
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