Support Vector Machine (SVM): A supervised machine learning algorithm used for pattern recognition and classification, optimised in certain studies to enhance data identification in complex systems.

Using a new physics-informed machine learning approach, researchers discovered two new high-entropy alloys with extremely low thermal expansion, a new study reports. The approach could represent a ...

In an article recently published in the open-access journal npj Computational Materials, researchers discussed the intelligent framework based on machine learning (ML) for finding refractory ...

Understanding defect dynamics and evolution in high entropy alloys (HEAs) s is complicated due to the wide and intricate configurational space in HEAs. Machine learning techniques have significant ...

Various modifications have been suggested in the past to extend Shannon entropy to continuous random variables. This article investigates these modifications, and suggests a new entropy measure with ...

Entropy is a confusing concept, but it is also extremely useful for quantifying the properties of complex systems like the human brain. This article attempts to demystify the term.

Georgia Tech researchers introduced a groundbreaking machine learning technique to improve the assessment and analysis of declining oxygen levels in the ocean. Using data from Argo floats (pictured) ...

A review published in National Science Review highlights recent progress at the intersection of machine learning and quantum ...

Vice President of AI & Quantum Computing, Paul Smith-Goodson gives his analysis of quantum machine learning models and IonQ's strategy to make it a reality.

Entropy can measure a brain's computational complexity by quantifying the number of accessible mental states (the size of the mental repertoire).

Using data from historic ship measurements and Argo floats, researchers introduced a machine learning technique that improves assessment and analysis of the ocean's declining oxygen levels.