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 ...

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

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

An unnamed European NATO country has awarded Sweden's Saab a EUR130 million (USD152.49 million) contract for Sirius passive ...

XP Power explores the trends that will continue to drive medical technology in 2026 and how they will influence ...

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

A new Israeli study suggests that machine-learning models may soon give growers a far more precise way to predict how much water their crops use each day, while also laying the groundwork for earlier ...

A team of researchers are developing a platform to 3D print affordable sensors for detecting environmental hazards.

Preliminary data indicates that once consumers experience Waymo, they tend to remain loyal. The company reports higher rider ...

While sensing technologies have advanced rapidly, the study identifies data fragmentation as one of the most persistent ...

Test vendors use AI and machine learning to handle massive data volumes from complex electronics and detect hard-to-find ...

The PhantomStrike AESA radar will be integrated on the U.S. Air Force’s X-62 VISTA as part of the recently announced Mission Systems Upgrade to expand ...