As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

By applying machine learning techniques, engineers at MIT have created a new method for 3D printing metal alloys that produce parts far stronger than those made using traditional manufacturing ...

Gaming has always pushed technology forward. From the first arcade cabinets to contemporary open worlds, the industry has raised the bar for both software and h ...

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

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

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

AI projects are not for the faint-hearted – they need to be properly resourced with the different skills required: data ...

"For 2026, this matters because audiences expect visuals that react, evolve, and feel alive," Jane continues. "It signals ...

With the AI-integration in most sectors today, the military domain is no exception. We are living in another transformative ...

Artificial intelligence is no longer just spotting tumors a little faster than humans. In study after study, machine learning systems are uncovering hidden patterns in cancer data that even veteran ...

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...