The dual-track analysis confirms that the Jordanian Paradox is influenced by deeply rooted, intersecting institutional ...

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 ...

Modern life runs on light. Fiber-optic cables move data across continents, lasers guide surgeries, and photons sit at the ...

Kara Alaimo is an associate professor of communication at Fairleigh Dickinson University. Her book “Over the Influence: Why Social Media Is Toxic for Women and Girls — And How We Can Take It Back” was ...

After two and a half years we have enough data to form a clearer picture about who is using AI, what they are using it for, what they think about it, and what it means for learning. What do students ...

For decades, Americans worried about their kids getting high. Now, alarming new data suggest they should be just as worried about their parents and grandparents—and demanding that their legislators ...

We consider the point process of signal strengths from transmitters in a wireless network observed from a fixed position under models with general signal path loss and random propagation effects. We ...

A year ago, I wrote a piece here about how people were really using gen AI. That article seemed to hit a note: It was popular, featured in viral posts, and the beautiful accompanying infographic has ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demo of Poisson regression, where the goal is to predict a count of things arriving, such as the number of telephone calls ...

The Poisson distribution is widely used in artificial intelligence (AI) and machine learning. In Bayesian inference, probability distributions often help solve problems that would otherwise be ...