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 ...

Dr Justyna Grusza-Głębicka takes a look back on a year full of legal developments affecting the Polish betting and gaming ...

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 ...

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 ...

An advanced Model Context Protocol (MCP) server that provides AI-powered Python testing tools. This project leverages both Google's Gemini AI and BAML (Boundary ML) to intelligently generate ...

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 ...