Semiconductors are used in devices such as memory chips and solar cells, and within them may exist invisible defects that ...

A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence microscopy with computer vision and machine learning.

Abstract: Insulator defect detection (IDD) of transmission lines is crucial for power system safety and stability, with Un-manned Aerial Vehicle (UAV)-based machine learning methods becoming prevalent ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

Ray3 Modify introduces the next-generation hybrid-AI workflow for acting and performance, enabling brands and studios to guide scene evolution with greater predictability, continuity, and intent.

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine learning algorithm designed to identify physical anomalies in solar ...

Abstract: Aquatic ecosystems play a crucial role in maintaining the balance of the ecological system and human health. However, they are threatened by a large range of defects and contamination ...

Dysregulation of intracellular pH (pHi) is a hallmark biological feature of cancer cells, which hijack pHi homeostasis to sustain malignant phenotypes including uncontrolled proliferation, invasion, ...