<ul data-eligibleForWebStory="false"><li>Random telegraph noise is a prevalent variability phenomenon in nanoelectronic devices, impacting device reliability and performance.</li><li>RTNinja is a new machine learning framework introduced for the unsupervised analysis of random telegraph noise signals.</li><li>RTNinja deconvolves complex signals to identify hidden individual sources without prior system knowledge.</li><li>The framework consists of two components: LevelsExtractor for denoising and SourcesMapper for inferring source configurations.</li></ul>

RTNinja: a generalized machine learning framework for analyzing random telegraph noise signals in nanoelectronic devices

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