Traditional machine learning methods like Support Vector Machines, Random Forest, and gradient boosting have shown strong performance in classifying device behaviors and detecting botnet activity.

A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...

SMEs are widely recognized as the backbone of Europe’s economy, yet many face persistent challenges in accessing equity ...

Besides building analytical solutions for a large-scale organization, Sree Hari Subhash, an international IT expert, has researched the application of artificia ...

The latest information from the National Intellectual Property Administration shows that Guangzhou Pearl River New Town Energy Co., Ltd. applied for a patent titled "A Load Forecasting Method for ...

How do humans manage to adapt to completely new situations and why do machines so often struggle with this? This central question is explored by researchers from cognitive science and artificial ...

NucleoBio, Corp., a leading biotechnology innovator in precision oncology diagnostics, and PreCheck Health Services, a high-complexity CLIA-certified and CAP-accredited clinical laboratory, today ...

Brex reports AI is transforming procurement, enhancing efficiency through automated tasks and predictive analytics, while ...

The SDV Innovator Awards return for their fourth year, presented in partnership with long-standing partner QNX and first-time ...

The study involved 173 patients with COPD and 176 healthy controls, recruited between December 2017 and June 2023. Researchers used deep learning segmentation tools to isolate key anatomical features ...

VirusTotal has discovered a phishing campaign hidden in SVG files that create convincing portals impersonating Colombia's ...

Donato Montanari is VP and GM, Machine Vision, for Zebra Technologies. Manufacturing stands at a crossroads where traditional ...