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Drexel University7d

Understanding Orderly and Disorderly Behavior in 2D Nanomaterials Could Enable Bespoke Design, Tailored by AI

Since their discovery at Drexel University in 2011, MXenes — a family of nanomaterials with unique properties of durability, ...

AI Pushes Quantum 'Q Day' Closer to Reality—And to Breaking Encryption: New Study

New tools that simplify quantum complexity are reshaping physics research, drawing fresh investment, and fueling urgency ...

Achieving low resistance and high performance in magnetic tunnel junctions using high-entropy oxides

A NIMS research team has developed a magnetic tunnel junction (MTJ) featuring a tunnel barrier made of a high-entropy oxide ...
AZOM2y

Machine Learning Framework Drives Search for Better Refractory High-Entropy Alloys

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 ...
JSTOR Daily4y

Entropy query by bagging-based active learning approach in the extreme learning machine framework for hyperspectral image classification

This is a preview. Log in through your library . Abstract Active learning (AL) technique is the classification of remote sensing images, where collecting efficient training data is costly in terms of ...
Forbes2y

A Quantum Leap In AI: IonQ Aims To Create Quantum Machine Learning Models At The Level Of General Human Intelligence

Classical machine learning (ML) is a powerful subset of artificial intelligence. Machine learning has advanced from simple pattern recognition in the 1960s to today's advanced use of massive datasets ...