Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s ...

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 ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

For the first time, lab-grown mini brains have revealed how neurons misfire in schizophrenia and bipolar disorder.

Machine learning identifies disease-specific signatures in organoids derived from schizophrenia and bipolar disorder patients.

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 ...

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