Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty.

The idea of these so-called perception-driven systems is to interpret raw sensor data and convert it into actionable understanding. So, they capture the images as traditional machine vision would, but ...

The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has been sharped using a machine learning technique called PRIMO. PRIMO is short ...

Machines are moving beyond single-point sensing. Multi-sensor fusion now delivers vision, ranging and inertial data. The ...

Robots have evolved beyond repetitive tasks to incorporate AI, machine learning, and sensor fusion technologies that enable ...

AI-driven platforms increasingly assist farmers in choosing when to plant, irrigate, fertilize, or harvest. These systems ...

Permia Sensing, a precision agriculture company using AI, bioacoustics sensing and aerial image to protect and increase ...

Artificial intelligence and quantum computing are no longer speculative technologies. They are reshaping cybersecurity, ...

Advances in application technology and innovative techniques within the agricultural industry have revolutionized the ...

For decades, the ability to visualize the chemical composition of materials, whether for diagnosing a disease, assessing food ...

AI’s appeal lies in its ability to handle high-impact, low-probability events. Extreme weather disasters fall squarely into ...