A wearable optical sensor and machine-learning dataset reveal physiological signals associated with psychological distress, ...

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from aircraft fuselages to bridge supports—perform reliably under demanding conditions ...

A new generation of lower-cost smart sensors and industry-standard connectivity protocols are making it easier, faster and ...

How a team at UC Berkeley devised a multi-sensor smell system and combined it with machine learning to create a more ...

For engineers, operators and reliability teams alike, turning disconnected data into actionable decisions require time-consuming manual investigation. Augury hopes to solve ...

A team of researchers at the University of California, Berkeley, has created a new system featuring gas sensors paired with ...

Researchers have combined machine learning with portable biosensors to accurately detect a dangerous cyanobacterial toxin ...

Earth observation relies on diverse imaging systems whose varying spatial, spectral, radiometric, and temporal ...

Edge AI integrates with smart sensors, enabling real-time data analysis and reducing reliance on centralized systems, ...

This physics-informed solution transforms high-fidelity sensor data into actionable intelligence, enabling owners and ...

A machine learning model adjusts toxin readings for water-quality variability, enabling faster, lower-cost on-site testing without repeated recalibration CHUNGCHEONG PROVINCE, South Korea, July 10, ...

Portable screen-printed carbon electrode (SPCE) biosensors offer a rapid and low-cost way to detect microcystin-lysine-arginine (MC-LR), an extremely potent toxin produced by cyanobacteria during ...