For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...

For decades, bulky spectrometers have been the main tools for understanding how things are made of chemicals (a thing called composition). Spectrometers are a type of lab equipment that uses prisms or ...

A new IAEA research project will investigate how artificial intelligence can be used to strengthen non-destructive testing techniques used in disaster response. The project aims to enable faster, ...

Artificial intelligence and machine learning have transformed how we process information, make decisions, and solve complex problems. Behind every ...

Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...

Hackathons using AlphaGenome and other AI models are hunting down the genetic causes of devastating conditions that have ...

Lantronix is at the center of an expanding ecosystem in which payload, compute and connectivity come together to power the next generation of unmanned and autonomous systems,” said Saleel Awsare, ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

A research team, affiliated with UNIST, has unveiled a flexible photodetector, capable of converting light across a broad spectrum—from visible to near-infrared—into electrical signals. This ...

Scientists at the Department of Energy's Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds while using 75% less memory to analyze plant imaging ...

Deep learning and artificial intelligence are driving a transformative era in medical imaging, ushering in advanced tools for ...