The technology detects unique volatile organic compounds each mold species emits, creating distinct “odor signatures” the ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...

For far too long, two specters have been haunting the world of artificial intelligence and warfare, and they both featured in ...

The shift from volume to value requires more than enthusiasm. It requires engineering discipline, business ownership and the ...

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an interpretable artificial intelligence (AI) framework named Convolutional Kolmogorov ...

There are several methods for detecting whether a piece of text was written by AI. They all have limitations – and probably ...

Here are some memorable examples of when that process paid off this year: when a few numbers, the shape of a line, or the ...

Ethical disclosures and Gaussian Splatting are on the wane, while the sheer volume of submitted papers represents a new ...

In 2026, the question isn’t whether Kubernetes wins – it already has. And yet, many organizations are running mission-critical workloads on a platform they still treat as plumbing, not the operating ...