Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using pseudo-inverse training. Compared to other training techniques, such as stochastic gradient descent, ...

Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

The issue: Many runners (particularly women) report that their fitness trackers tell them they’re exercising in a higher zone ...

By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

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 ...

Plenty of high earners are not founders, influencers, or coders but people in routine, rules-driven roles that quietly keep ...

Background/purpose Social media (SM) has become an indispensable tool in healthcare, providing platforms for networking and ...

Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...