The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...

Artificial intelligence is changing the way portfolios are built and managed. For a long time, investors relied mainly on ...

Abstract: Software testing is an essential yet costly phase of the software development lifecycle. While machine learning-based test suite optimization techniques have shown promise in reducing ...

With technology growing faster than ever, many Class 12 students dream of working in IT, AI, or data-driven fields. Data is ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

An open-source Python library for simplifying local testing of Databricks workflows using PySpark and Delta tables. This library enables seamless testing of PySpark processing logic outside Databricks ...

👋 Welcome to Awesome Safety-Critical AI - a curated space for practitioners, researchers and engineers committed to building intelligent systems that are as reliable as they are capable. Inspired by ...

Abstract: The implementation of adaptive testing for English proficiency assessments using deep reinforcement learning (DRL) to customize evaluations based on learner performance. The dataset utilized ...

To try to alleviate the situation, a startup is working on cutting the heat produced in computation by making computing ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

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 ...