Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Corporate leaders are racing to hire artificial intelligence talent, convinced that a few high-profile specialists can ...

Test vendors use AI and machine learning to handle massive data volumes from complex electronics and detect hard-to-find ...

Taiwo Feyijimi stands at a rare crossroads where advanced artificial intelligence, engineering education, and human learning converge. As a doctoral candidate in Engineering Education Transformations ...

This series of Voices of Student Success focuses on the use of generative artificial intelligence in higher education and how technology can support student success goals. Central New Mexico Community ...

Many have sought to revitalize the accounting profession by attracting a new generation of tech-savvy young professionals ...

The Governors Highway Safety Association (GHSA) and Cambridge Mobile Telematics (CMT) suggest advanced predictive analytics could prevent traffic deaths before they happen, according to the report, A ...

Traffic fatalities in the U.S. began to rise sharply in 2020. Safety organizations have attributed this to speeding, distracted driving and aggressive driving, coupled with a decline in traffic law ...

We use S3 source with ClickHouse as engine, and Rill for visualization. This example demonstrates advanced data modeling strategies for real-time analytics using ClickHouse and Rill. We showcase how ...

In this article, we will take a look at the 9 Best Predictive Analytics Stocks to Buy Right Now. Predictive analytics, often known as big data analytics, is growing to become an integral component of ...