AI RESEARCH
Long-Term and Short-Term Transistor Aging in Deep Neural Networks: Impact and Mitigation
arXiv CS.LG
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ArXi:2606.04266v1 Announce Type: cross Deep neural networks (DNNs) are used in a variety of real-world applications including, for example, image classification and speech recognition. The inference accuracy of DNN implemented on hardware in integrated circuits (ICs) degrades under phenomena such as transistor aging. Aging slows down the switching speed of transistors, resulting in system-level timing violations due to unsustainable clocks.