A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...

Across the U.S., hundreds of sites on land or in lakes and rivers are heavily contaminated with hazardous waste produced by human activity. Many of these places, designated as Superfund sites by the ...

Across the U.S., hundreds of sites on land or in lakes and rivers are heavily contaminated with hazardous waste produced by ...

At this year's ConExpo show, Deere will reveal SmartDetect Assist, which automatically slows or stops construction equipment ...

A wave of recent research has brought robotic touch sensitivity closer to human fingertips than ever before, driven by graphene-based composites and machine learning that let artificial skins detect ...

A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...

A study published in The Journal of Engineering Research at Sultan Qaboos University presents an advanced intrusion detection system (IDS) designed to improve the accuracy and efficiency of ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

A flexible electronic skin inspired by shark electroreception lets robotic hands identify object shapes and materials through both non-contact electrostatic scanning and touch-based sensing.

Multi-camera vision programs often stall on integration friction such as rugged cabling, reliable synchronization, and the ...

Across the U.S., hundreds of sites on land or in lakes and rivers are heavily contaminated with hazardous waste produced by human activity. Many of ...