Weekly roundup exploring how cyber threats, AI misuse, and digital deception are reshaping global security trends.

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 ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

Srinubabu Kilaru said Bringing version control and CI/CD into data pipelines changed how quickly we could respond to policy ...

Policymakers across Europe and the United States are moving to classify many clinical AI tools as high-risk systems, ...

Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...

Python is a great language for automating everyday tasks, from managing files to interacting with websites. Libraries like ...

Looking ahead, Roshan continues to focus on advancing automation, cloud governance, and scalable engineering practices. His ...

1 Department of Neurology, The Affiliated Yixing Hospital of Jiangsu University, Yixing, Jiangsu, China 2 Information and Data Center, The Affiliated Yixing Hospital of Jiangsu University, Yixing, ...

Abstract: The use of machine learning (ML) to diagnose neurological diseases has become increasingly popular. However, some rare neurodegenerative diseases such as Creutzfeldt-Jakob disease (CJD) ...

Learn how to choose the right cross-validation method for your machine learning projects. Compare techniques like k-fold, stratified, and leave-one-out cross-validation, and understand when to use ...