The landscape of medical education is undergoing a seismic shift as artificial intelligence transitions from experimental pilot programs to foundational infrastructure in 2026. Recent studies ...

AI-powered platforms are rapidly transforming both medical education and healthcare delivery, from adaptive learning systems and simulated EHRs to clinical documentation tools. Evidence supports ...

What happens when artificial intelligence gets it wrong? From self-driving cars to medical tools, rapid advances in AI are ...

Modern machine learning tools have determined that the Spanish Renaissance painting, the Baptism of Christ, was the sole work ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

An exploration of how targeted nanoparticles and artificial intelligence algorithms combine to locate prostate cancer earlier ...

In this tutorial, we implement a reinforcement learning agent using RLax, a research-oriented library developed by Google DeepMind for building reinforcement learning algorithms with JAX. We combine ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Abstract: Successive Over-Relaxation Q-learning (SOR-QL) has been proposed recently as an alternative to the widely popular Q-learning algorithm as it is seen to provide better performance where ...

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...