Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s ...

Brex reports AI is transforming procurement, enhancing efficiency through automated tasks and predictive analytics, while addressing data and integration challenges.

Machine learning algorithms have been used to predict cancer progression, identify early signs of Parkinson’s disease, and ...

The U.S. Department of Defense is on the defensive after outrage erupted over Secretary Pete Hegseth’s repost of a CNN video last week featuring the head of his church — a hardline Christian ...

Development and Validation of an Ipsilateral Breast Tumor Recurrence Risk Estimation Tool Incorporating Real-World Data and Evidence From Meta-Analyses: A Retrospective Multicenter Cohort Study Data ...

Quantum machine learning takes classical data and encodes it in quantum states. The quantum computer can then uncover patterns in the data that would be hard for classical systems to detect. A ...

Abstract: Malware poses a significant threat to network and information system security, particularly in industrial Internet of Things (IIoT) environments, where embedded systems and edge devices ...

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 means ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...