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

A team of researchers at the University of California, Berkeley, has created a new system featuring gas sensors paired with machine-learning software that is capable of identifying chemical signatures ...

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

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

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

Wildfires are becoming more frequent and more intense worldwide. Fires often become infernos because of heat, drought and wind, especially in the summer. The problem is compounded by the climate ...

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 ...

Soundar Kumara, an Indian American industrial engineering professor at the Pennsylvania State University has been named to ...

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...

Syntiant Corp., a leading provider of full-stack, low-power physical AI solutions comprising sensors, processors and ML models, today announced the expansion of its ongoing collaboration with PRADCO ...

Built from flexible, compliant materials, soft robots are gaining relevance for tasks ranging from minimally invasive surgery ...