Authored by embedded ML specialists with extensive experience in ESP32 voice recognition architecture, TinyML optimisation, ...

Dario Amodei, the C.E.O. of the artificial-intelligence company Anthropic, has been predicting that an A.I. “smarter than a ...

Abstract: In this paper, a named entity recognition model is proposed using data from Wikipedia. In every natural language, noun plays an important role. Named entity recognition is the process of ...

The final, formatted version of the article will be published soon. Diagnosing Autism Spectrum Disorder (ASD) in verbally fluent individuals, based on speech patterns in examiner-patient dialogues ...

Introduction: Advanced heart failure (HF) is a clinically heterogeneous condition with poor prognosis, and traditional classification systems often fail to capture the complexity needed for ...

Local factors such as seasonal temperature, the year-dependent water and vegetation index, and data on animal density can be used to predict regional outbreaks of avian flu in Europe. This is the ...

It’s three in the morning and you can’t sleep. You’ve scrolled endlessly, checked if anyone is awake, but the only thing to turn to is ChatGPT. It doesn’t sigh, or judge or roll its eyes. It simply ...

Abstract: Drought is a complex natural hazard that significantly impacts agriculture, water resources, and socioeconomic systems. Precise identification and classification of drought patterns are ...

We developed a classifier to infer acute ischemic stroke severity from Medicare claims using the modified Rankin Scale at discharge. The classifier can be used to improve stroke outcomes research and ...