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 ...

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

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 ...

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 ...

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 ...

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

Introducing Nicholas Riina, MS. Nicholas Riina, MS, had his eye on the prize early on, growing up in a family in which he was ...

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

Explore the future of decentralized AI and edge computing: enhance privacy, reduce latency, and empower self-reliance with local processing.