Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control.

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

Hidden Python libraries can make data analysis faster and easier for large datasets. Tools like Polars, Dask, and Sweetviz simplify data cleaning, modeling, and visualization. Learning new Python ...

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...

Overview: Python dominates computer vision with its vast array of open-source libraries and active community support.These ...

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...

Abstract: This research presents a machine learning-based approach for spam email detection using TensorFlow Extended. The main goal is to develop an effective and efficient pipeline to differentiate ...

Abstract: The Quantum Annealer built by D-Wave, known as Advantage, is currently the largest quantum computer in the world, featuring a topology called “Pegasus.” This groundbreaking system opens new ...

Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...