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 ...

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

A new fabric-based touch sensor used machine learning to control mobile apps, video games and other devices while integrated into clothing. A new study from NC State University combines ...

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

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

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. We live in a world where machines can understand speech, recognize faces, and even generate ...

They are collaborating to develop a machine learning system for more precise aerial firefighting that determines the fire situation in real time and calculates the optimum aerial drop time. Ever more ...

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

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