Abstract: Industrial few-shot anomaly detection (FSAD) requires identifying various abnormal states by leveraging as few normal samples as possible (abnormal samples are unavailable during training).

Jenkins grew up in a cotton mill town in the Appalachian foothills of North Carolina, in a family where mill work begins young and college is more aspiration than inheritance. His parents insisted he ...

Abstract: An ultra-low-power (ULP) six-class keyword spotting (KWS) ASIC is presented in this article, which can be used in always-on speech-based human–machine interface applications. The ASIC is ...

Get your news from a source that’s not owned and controlled by oligarchs. Sign up for the free Mother Jones Daily. But something more insidious was afoot. I used to work at WilmerHale, one of the law ...

In Chapter 12.5 "Methods on Classes", there appears to be a bug in the Parser implementation where it incorrectly expects the 'fun' keyword for class methods, although this conflicts with both the ...

This year, Creta Class partnered with Kiztopia to bring a fresh twist to their annual Jumptopia™ event. Beyond exhilarating inflatable slides and challenging obstacle courses, Creta Class showcased ...

I'm uncertain if this problem is isolated to the utilization of Kotlin extension functions (reified, inline, and crossinline keywords) with Java Swing components. Create a new Kotlin project, I ...

Dataology is the study of data. We publish the highest quality university papers & blog posts about the essence of data. byDataology: Study of Data in Computer Science@dataology byDataology: Study of ...