AI and Machine Learning can predict transformer faults by analyzing dissolved gas data, thermal patterns, and vibration ...

While self-healing agentic test suites can help eliminate the manual intervention consuming engineering cycles, there are key ...

The hybrid model is emerging as the framework for trustworthy AI in test analytics. It retains traceability and supports ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

In other words, we can use AI as a simulated audience: a stand-in that reacts to a data story as if it were a specific type ...

Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.

The discovery of gravitational waves in 2015 marked a turning point in our understanding of the universe. But detecting these ...

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...

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

Artificial Intelligence is rapidly transforming industries—from healthcare and finance to education and creative arts. But ...

Risk management executives can no longer treat artificial intelligence (AI) as a passing fad. According to a report from ...