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Charge-CIM slashes ADC energy consumption by 91.7% while doubling throughput, reshaping the landscape of energy-efficient deep learning accelerators.
FusionCIM slashes LLM inference energy costs by nearly 4x while doubling processing speed, setting a new benchmark for efficiency in AI hardware.
An agentic framework, Dr.~RTL, outperforms industry-leading commercial tools in RTL timing optimization by 21% WNS and 17% TNS improvement, demonstrating the potential of tool-grounded self-improvement.
