Anjali Das and Gregory Parker of Wilson Elser explain that as cyber threats escalate in frequency and sophistication, it is ...

An increase in compliance activities such as the creation of software bills of materials (SBOMs), performing software ...

In the quest for stronger, more resilient buildings and infrastructure, engineers are turning to innovative solutions, such as concrete-filled steel tube columns (CFST) strengthened with carbon ...

Operational energy (OE) management is crucial for ensuring the readiness of armed forces in contested logistics environments.

This complexity is attributed to varying chain lengths ... inefficient and costly. Machine learning, a data-driven computational method, leverages existing data and algorithms to predict ...

When she looked into the details of the papers, including the methods and materials sections ... trained neural networks (machine learning models that, inspired by the structure and function of the ...

The complex interdependencies in the resulting data sets can be studied using machine-learning ... of materials and materials processing. Both papers on general methods, as well as their applications ...

Arkham is a blockchain analysis platform that uses AI to uncover anonymous blockchain data. With its Analytics Platform and ...

Researchers at the University of Toronto's Faculty of Applied Science & Engineering have used machine learning to design nano ...

MRO occupies a unique position within the supply chain ecosystem, often called the "Supply Chain Triangle," where technology, ...

If you've watched cartoons like Tom and Jerry, you'll recognize a common theme: An elusive target avoids his formidable adversary. This game of "cat-and-mouse"—whether literal or otherwise—involves ...