IntroductionIn January 2026, Zscaler ThreatLabz observed activity by a suspected Iran-nexus threat actor targeting government officials in Iraq. ThreatLabz discovered previously undocumented malware ...

AI agents evaluate 10 million impressions per second, combining data from hundreds of sources, and human-defined targeting ...

Human language may seem messy and inefficient compared to the ultra-compact strings of ones and zeros used by computers—but our brains actually prefer it that way. New research reveals that while ...

To capture higher-definition and sharper images of cosmological objects, astronomers sometimes combine the data collected by several telescopes. This approach, known as long-baseline interferometry, ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Ever opened a file and seen strange symbols or jumbled text? That’s usually an encoding problem; your software isn’t reading the data correctly. The good news is that Microsoft Office makes it easy to ...

A security vulnerability has been disclosed in the popular binary-parser npm library that, if successfully exploited, could result in the execution of arbitrary JavaScript. The vulnerability, tracked ...

Gray codes, also known as reflected binary codes, offer a clever way to minimize errors when digital signals transition between states. By ensuring that only one bit changes at a time, they simplify ...

Abstract: Benefiting from the principles of information aggregation and multi-layer stacking, graph neural networks (GNNs) have achieved remarkable success in graph-structured data tasks. However, ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...