As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

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

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

Now, the model has analyzed Falcons vs. Rams on 'Monday Night Football' and locked in three confident best bets for an NFL ...

A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource efficiency and cost improvement.

Now, the model has analyzed Colts vs. 49ers on 'Monday Night Football' and locked in three confident best bets for an NFL SGP ...

Overview: AI in financial services uses machine learning and automation to analyze data in real time, improving speed, accuracy, and decision-making across bank ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning ...

The recently published 2025 Machine Learning Emotional Footprint Report from global IT research and advisory firm Info-Tech Research Group highlights the ...