Machine learning algorithms have increasingly become integral to gamma-ray spectroscopy, enabling automated feature extraction, classification and quantitative analysis from complex spectral data.

Organizations of all sizes use different types of AI to facilitate key functions. Distinguishing among AI technologies and understanding their architectures is essential to choosing AI to fit use ...

A Selçuk University researcher has compared six machine learning algorithms for predicting front- and rear-side ...

View all available purchase options and get full access to this article. The following represents disclosure information provided by authors of this manuscript. All relationships are considered ...

Quantum machine learning (QML), also called quantum-enhanced machine learning, blends the computing power of quantum systems with the increasing computing demands of ...

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...

Ionized gas plasma contained inside a tokamak reactor is the engine that drives nuclear fusion, a potential source of green energy Off-normal events in the plasma are a substantial impediment to the ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Dedeepya Yarra's interdisciplinary research interest is the intersection of machine-learning research and cybersecurity, ...

Sophia Feona Cantiller, a cum laude graduate in Computer Science from the University of the Philippines, swapped coding bugs for content buzz. Her true love? Writing stories. We maintain a strict ...