Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

INNOptimizer is using latest Bayesian Optimization algorithms and a broad set of analytical tools to guide optimizations with minimum experimentation needed. Don't waste time and money with poor ...

Just as people from different countries speak different languages, AI models also create various internal "languages"—a ...

Businesses are still new at this. Here are some things to know about how to go about AI integration the right way.

With the recent first light milestone for the Vera Rubin Observatory, it's only a matter of time before one of astronomy's most long-awaited surveys begins. The Legacy Survey of Space and Time (LSST) ...

Instance selection plays a pivotal role in enhancing machine learning by identifying and retaining those data instances that are most informative for the learning process, while discarding ...

In a study recently published in Nature Communications, Dr. Wang and her colleagues—Zeyu Lu, a postdoctoral researcher in her lab at UTA, and Lin Xu, a researcher at UT Southwestern Medical ...

Psychological testing has evolved from Freud to AI and eye tracking. Technology adds depth, but theory and ethics must guide its use to ensure meaningful and equitable diagnoses.