One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

(b) Quantum machine learning in augmenting quantum cryptography. The rest of the article explores the fundamental aspects of quantum cryptography, the role of QML in Quantum cryptography, and three ...

Machine learning-based automated data mapping offers a compelling alternative by reducing integration failure rates and accelerating project timelines. By leveraging intelligent algorithms, ...

Machine learning has become an essential component in the design of intelligent systems across several disciplines. This widespread use of machine learning has led to the importance of evaluating how ...

Top Machine Learning Algorithms for HR Analytics Implementing machine learning in HR requires strategic alignment between your organizational needs and algorithmic capabilities. While numerous ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

Look closely at any machine-learning algorithm and you’ll inevitably find people—people making choices about which data to gather and how to weigh it, choices about design and target variables.