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Vision generative AI models could revolutionize edge applications, but only if we rethink how they are designed in relation to hardware constraints from the outset.
Current LLM applications in EDA risk producing plausible but physically incorrect designs due to a fragmented approach that overlooks the interconnectedness of design stages.
BenDi achieves a staggering 5x energy efficiency improvement for edge bioelectronics, making continuous health monitoring feasible in resource-limited settings.