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

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 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 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 ...

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

Orbital Compute’s proposed 100,000-satellite network and Cowboy Space’s vertically integrated Stampede system offer sharply ...

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 ...

Robotics researchers often spend weeks, or even months, simply getting a new robot up and running before they can begin ...