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 ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

We live in an age where artificial intelligence seems almost magical. Voice assistants understand our requests, ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

THE PIZZA HUT in Plano, north of Dallas, looks much like any other. Cars draw up at the drive-through window. Inside the restaurant, staff slide pizzas out of the oven into cardboard boxes. But this ...

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts that have puzzled scholars for centuries, detected cancers missed by human ...