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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 ...
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 ...

Ailong Applies for Deep Learning Machine Vision Patent, **AI Defect Detection** Welcomes New Breakthrough

Nanjing Ailong Automation Equipment Co., Ltd. recently announced that it has applied for a patent titled "Real-time Detection and Classification Method and System for Machine Vision Defects Based on ...

New Breakthrough in Quantum Sensing: Machine Learning Boosts Circuit Sensitivity to 86%

Researchers at Cleveland State University have recently achieved a significant breakthrough in the field of quantum sensing by utilizing machine learning techniques to optimize circuits, successfully ...
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 ...

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.