Behavioral data models replace static programmatic approaches with precision targeting at the exact moment of purchase ...

Researchers developed a hybrid UMAP-HDBSCAN-SVM machine learning workflow to rapidly classify low-loss STEM-EELS spectrum ...

AI plays a role in improving defect capture rate and distinguishing between yield-killing and nuisance defects. New developments in wafer edge inspection are proving essential to bonded wafer yields.

Agentic AI security dominated Infosecurity Europe 2026 as Toronto researchers proved a free open-weight AI worm can ...

A recent study published in the journal Psychophysiology provides evidence that the human brain processes taboo words in a ...

A new study uses a dual-model AI algorithm to decode EEG data and objectively classify pain intensity via F7/F8 delta waves.

Childhood asthma poses a significant threat to pediatric health, and traditional assessment methods are often inadequate in efficiency and accuracy. This study aims to develop a rapid assessment tool ...

Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...

ABSTRACT: Credit risk assessment plays an important role in financial services by estimating the chance of a borrower defaulting. Recently, although the Large Language Models (LLMs) have demonstrated ...