Python gives you far more control, and the ecosystem is stacked with libraries that can replace most no-code platforms if you ...

Explore the top OSINT tools and software platforms for 2026. Improve your data gathering and verification methods effectively ...

Data collected under the Death in Custody Reporting Act has some serious problems. Here’s how we fixed some of them.

Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Account aggregation is a financial management tool that consolidates data from multiple ...

Protein aggregation is the process by which misfolded proteins adopt a conformation that cause its polymerization into aggregates and organized fibrils. Many neurodegenerative diseases (amyloidoses) ...

Amyloids can be broadly defined as insoluble protein aggregates containing a characteristic highly ordered, β-sheet-rich structural motif. The latter can be identified histologically with dyes such as ...

We introduce DINOv2 SALAD, a Visual Place Recognition model that achieves state-of-the-art results on common benchmarks. We introduce two main contributions: Using a finetuned DINOv2 encoder to get ...

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 ...

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 ...

Abstract: Federated Learning (FL) is a collaborative machine learning (ML) framework that combines on-device training and server-based aggregation to train a common ML model among distributed agents.

Rank aggregation with pairwise comparisons is widely encountered in sociology, politics, economics, psychology, sports, etc. Given the enormous social impact and the consequent incentives, the ...