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: This study evaluates an agent-based reinforcement learning framework for model-based testing (MBT). The framework’s performance was assessed on three key metrics: effectiveness and ...

The Electric solar wind Sail doctors (E-Sailors) is a challenge-based Doctoral Network that aims to bring Electric solar wind sail (E-sail) from low Earth orbit (LEO) demonstration missions to the ...

Kenyan scientist Fridah Mokaya made history as the first black woman to earn a PhD in Nuclear Physics from the University of Connecticut in the USA. Dr. Mokaya achieved this milestone after completing ...

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 ...

Kirill Nekrasov, Head of Sportsbook Product at BETBY, writes for SBC News to outline exactly why chess is becoming a popular ...

NVIDIA’s Nemotron 3 Nano 30B features a 1M token context and 3B-active design, helping you build faster workflows and test tools locally.

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

Model-Based Testing is a software testing technique where test cases are automatically generated from a model that describes the expected behavior of the system under test (SUT). Instead of writing ...

Abstract: Programming language source code vulnerability mining is crucial to improving the security of software systems, but current research is mostly focused on the C language field, with little ...

A YAML-driven testing framework for evaluating any Ollama language model against real-world coding and data analysis tasks. Test any model with consistent, extensible, configuration-based test ...