As researchers unveil a groundbreaking machine learning approach that dramatically reduces fraud detection costs by generating accurate labels from imbalanced datasets, Interview Kickstart announces ...

Sarah Alnegheimish's research interests reside at the intersection of machine learning and systems engineering. Her objective ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...

The information age is built on mathematics. From finding the best route between two points, predicting the future load on a ...

Experts from Rockwell Automation and Endress+Hauser explain the evolution of smart sensors and their role in scaling IIoT ...

Ocean color remote sensing (OCRS) provides crucial insights into marine ecosystems, detecting phytoplankton blooms, measuring ...

These early iterations relied heavily on observed learning, where historical data – both malicious and benign – was fed to ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...