Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That ...

Today, AI is covering the whole stack of data analysis-based applications, starting at the wafer level and culminating in PCB assembly. Once a design is in assembly, AI primarily makes way into ...

The answer, according to new research from the data and AI platform company, is sobering. Even the best-performing AI agents achieve less than 45% accuracy on tasks that mirror real enterprise ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

ABSTRACT: Healthcare decisions are based on scientific evidence obtained from medical studies by gathering data and analyzing it to obtain the best results. When analyzing data, biostatistics is a ...

This important study describes changes in excitability in motor neurons of the peripheral autonomous nervous system during aging. The manuscript provides convincing evidence indicating that ...

Abstract: Federated learning of a decentralized machine learning approach is used for attack detection which trains models collaboratively across multiple IoT devices. The dynamic selection of ...

This study presents valuable observations indicating that the excitability of cultured sympathetic motor neurons increases in neurons cultured from aged mice, and is inversely correlated with the ...

BACKGROUND AND OBJECTIVES: Temporomandibular disorder (TMD) has complex symptoms that involve the orofacial region, such as otalgia. Considering the difficult differential diagnoses for associating ...

Learn what analysis of variance (ANOVA) is, how it works, and when to use it. See how it helps compare means across multiple data groups in statistics and research.