Real-time environmental monitoring is increasingly important in agriculture, industrial automation, smart homes, and healthcare. The real-time data monitoring ...

This DIY AI Health Assistant Trained with Edge Impulse, the Edge ML model detects real-time anomalies in SpO₂ and heart rate, ...

A Wolfenbüttel research team, working with local police, is testing ways to use data from everyday devices to reconstruct ...

The rise of “sensors everywhere” is a precursor to accumulating large quantities of sensor profiles needed for effective ...

Authored by certified embedded ML specialists with extensive experience in ESP32 voice recognition architecture, TinyML ...

Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a ...

Fraunhofer researchers have developed a system that uses sensors and AI to monitor a driver's cognitive load. In the future, ...

A research group from the Graduate School of Engineering at Tohoku University has developed a noninvasive means of detecting ...

One of the joys of writing up the entries for the 2025 Component Abuse Challenge has come in finding all the different alternative uses for the humble transistor. This building block of all modern ...

Bourn's Digital Current Sensor Series feature 100A to 1000A current range and offer exceptional accuracy, stability, and ...

According to Sony, the IMX828 CMOS image sensor is the industry’s first to integrate a MIPI A-PHY interface for automotive ...

Using single-cell RNA sequencing and genetic screening, the researchers identified key surface proteins that mediate ...