"Sensing Intelligence and Machine Learning" describes the combination of artificial intelligence (AI) and machine learning (ML) approaches with sensor technologies. This fusion improves sensor ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

AMES, Iowa – A gardener hoping for a crop of the juiciest summer tomatoes might tend to each and every plant in a plot. But a farmer working to feed the world? Researchers believe that may be possible ...

In a significant development for 'lens-less' imaging, researchers have devised a new image reconstruction method that enables high-quality imaging in a short computing time. The new method is based on ...

This course will be a practical introduction to robotic sensing, navigation and machine learning techniques in robotics. The course focuses on bridging the gap between theoretical developments, ...

In the Salinas Valley, America's "Salad Bowl," startups selling machine learning and remote sensing are finding customers. As a machine operator for the robotics startup FarmWise, Diego Alcántar ...

A camera usually requires a lens system to capture a focused image, and the lensed camera has been the dominant imaging solution for centuries. A lensed camera requires a complex lens system to ...

Marisa Hughes (center) works with a team that includes experts in machine learning, remote sensing and computer vision to leverage artificial intelligence to produce accurate estimates for road ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...