Abstract: This review article addresses the problem of learning abstract representations of measurement data in the context of deep reinforcement learning. While the data are often ambiguous, ...

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

Introduction: Myocardial ischemia can result in severe cardiovascular complications. However, the impact of clinical factors on myocardial ischemia in individuals with T2DM remains unclear. we applied ...

It’s easy to get caught up in technology wars—Python versus Java versus NextBigLanguage—but the hardest part of AI isn’t the tools, it’s the people. Domain knowledge, skills, and adoption matter more ...

Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...

What if the programming language you rely on most is on the brink of a transformation? For millions of developers worldwide, Python is not just a tool, it’s a cornerstone of their craft, powering ...

Traditional cardiovascular risk assessment entails investigator‐defined exposure levels and individual risk markers in multivariable analysis. We sought to determine whether an alternative unbiased ...

TwinHead-RL is a research project on curiosity-driven deep RL. We use a multi-head agent that learns both policy and future state prediction, using prediction error ...

“I'm not sure if I'm more upset that they were allowed to go alone or the fact I was told the dad would be taking them and then [they] went alone," the mom said Toria Sheffield joined the PEOPLE ...

Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...