The new toolkit integrates with Keysight’s device modeling software to automate parameter extraction and shorten compact-model and PDK development cycles.

Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional approaches to storm forecasting involve large numerical simulations run on ...

Advances in mechanistic modeling, machine learning, and biomedical data integration are making it possible to move beyond “one-size-fits-all” evidence and ...

The semiconductor industry is entering an era of unprecedented complexity, driven by advanced architectures such as Gate-All-Around (GAA) transistors, wide-bandgap materials like GaN and SiC, and ...

SANTA CLARA, CA - February 12, 2026 - - Interview Kickstart has launched a new Data Science course designed for working professionals seeking to build practical, production-ready skills in data ...

Copy number variation (CNV) refers to an increase or decrease in the number of copies of a DNA sequence in a genome, which can subsequently be implicit in promoting aberrant gene expression patterns ...

Global climate models capture many of the processes that shape Earth's weather and climate. Based on physics, chemistry, ...

Background and Goal: This study examined whether machine learning could predict the risk and contributing factors of no-shows and late cancellations in primary care practices. Study Approach: ...

Researchers at Pennsylvania State University examined whether machine learning could predict the risk and contributing factors of no-shows and late cancelations in primary care practices. They ...