In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...

In today’s data-driven world, organizations are continuously seeking ways to improve their data analytics capabilities. Traditional business intelligence (BI) tools have provided significant insights, ...

On April 18, 2025, the Federal Circuit remained consistent with previous Alice decisions by holding that four machine ...

A new machine learning algorithm excels at interpreting optical spectroscopy data of molecules, materials and disease ...

Web application owners must invest in and integrate advanced technologies like machine learning ... data should be used to train models. • Optimize models with fine-tuning and ensemble methods.

University of Edinburgh scientists have harnessed the power of AI in a new tool that promises to speed up analysis of data ...

Researchers led by the University of Cincinnati’s Anna Kruyer and the University of Houston’s Demetrio Labate have published ...

The following is a summary of “Application of interpretable machine learning algorithm to predict lymph node metastasis in cutaneous malignant melanoma,” published in the April 2025 issue of ...

On Friday, April 18, 2025, the Federal Circuit addressed a question of first impression regarding the validity of certain machine-learning ...

Chinese Academy of Sciences (CAS), has developed a machine learning (ML) model enhanced with expert knowledge to classify ...

This study presents a compact MEMS gas sensor that combines pulsed heating with machine learning, achieving high selectivity ...