Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

Modern agriculture is a data-rich but decision-constrained domain, where traditional methods struggle to keep pace with ...

Ozlo, the maker of comfortable, easy-to-use Sleepbuds that drown out outside noise so you can get better rest, is turning its ...

AI isn’t new, but generative AI is reshaping work and skills. Why the distinction matters, how to cut through hype, and what ...

Imagine you’re at a bustling dinner party filled with laughter, music, and clinking silverware. You’re trying to follow a ...

Engineers at the University of California San Diego have developed a next-generation wearable device that enables people to ...

Sayed, a U.S. Senate candidate in Michigan, has proposed a list of "terms of engagement" for data center developers to ensure ...

Nanoscale device employs magnetic tunnel junctions to convert thermal noise into binary signals for random number generation.

Crucially, detection and response must be unified across identity and data layers. An alert about unusual data access is meaningless if it is not correlated with identity risk signals. Autonomous ...