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 ...

T.J. Thomson receives funding from the Australian Research Council. He is an affiliate with the ARC Centre of Excellence for Automated Decision Making & Society. Aaron J. Snoswell receives research ...

It remains to be seen whether the Honda EV Outlier Concept will really become a production model in the near future. If nothing else, it does a good job at showing how Honda developers envision ...

IC manufacturers are increasingly relying on intelligent data processing to prevent downtime, improve yields, and reduce scrap. They are integrating that with fault detection and classification (FDC) ...

Serhan Tekkılıç listened intently on a Zoom call as his friend on the screen recounted the first time she had ever felt sad. A 28-year-old mixed media artist, Tekkılıç had not planned on having a ...

In recent decades, the impact of climate change on natural resources has increased. However, the main challenges associated with the collection of meteorological data include the presence of missing, ...

Abstract: Outlier detection is an important problem for many domains and has attracted much attention recently. The density-based method LOF is widely used in application. However, the complexity of ...

When Ward Hayden & The Outliers were driving across the Midwest on a tour, they decided to kill time in the van by looking into Aaron Lewis, one of their few Massachusetts country music peers. They ...

Kinil Doshi is a Senior VP at Citibank and a fintech expert in banking compliance and risk management with two decades of experience. In this article, I want to explore AI applications in fraud ...

Have you ever found yourself staring at a blank page, trying to organize a complex idea or process, but not knowing where to start? Whether it’s mapping out a workflow, designing an organizational ...