Five students partnered with Dr. Ahmad Ghafarian, a UNG professor of computer science and cybersecurity, on the application ...

A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Machine learning continues to shape AI, automation, and data-driven decision-making. While online courses offer hands-on practice, books provide the deeper understanding needed to master core concepts ...

Artificial intelligence and machine learning help computers learn from data, identify patterns, improve performance, and make decisions, transforming industries through technologies like neural ...

Computer scientists urge a fundamental shift in how problems are formulated in reinforcement learning for healthcare ...

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 ...

Blood‐based biomarkers for stroke subtyping could improve triage in emergency settings. We used cross‐platform proteomics to identify plasma biomarkers differentiating major stroke diagnostic groups.

Accurate prediction of target variables from diverse feature sets is a fundamental objective in machine learning. In this context, prediction refers to the outcome produced by an algorithm trained on ...

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...

Abstract: Reducing energy consumption has become a pressing need for modern machine learning, which has achieved many of its most impressive results by scaling to larger and more energy-consumptive ...