The University of Louisiana at Lafayette unveils a new PhD blending AI, data science and leadership, with online and ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

The devices are located closest to the many sensors at the edge that gather sensor data, control motors, trigger alarms and actuators, and more.

AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

Rest Assured “VentiAPI”, by Master of Information and Cybersecurity grads Karl-Johan Westhoff, Bleu Strong, Jenny Garcia, and Tyler Heslop, helps organizations find and fix vulnerabilities in their ...

Here's the case for constraint-aware intelligence in the AI 2.0 era.

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Digital twins and prognostic models deliver detailed insights into a battery’s behaviour and lifespan, and machine learning..

The IAEA’s new https://www.iaea.org/services/coordinated-research-activities CRP will create an international network of researchers, laboratories and industry partners.  It will strengthen ...

Overview: AI is already improving healthcare, helping doctors detect diseases faster and make more accurate treatment decisions.Hospitals use AI to save time an ...

With OpenShift 4.21, you can simultaneously modernize existing IT infrastructure and accelerate AI innovation on a single, ...

Electrocatalysis sits at the heart of clean hydrogen production, fuel cells, and carbon dioxide conversion, yet progress ...