Mixture-of-Experts (MoE) models are revolutionizing the way we scale AI. By activating only a subset of a model’s components ...

Humans learn by breaking through and plateauing, persisting and resting, and, occasionally, experiencing the blissful flow state. Mastering a skill can take decades, but the learning process unfolds ...

Master AI agent creation with this easy guide. Learn how to design scalable, reliable systems that deliver measurable results ...

Here a machine learning algorithm will be trained to predict a liver disease in patients using a data-set collected from North East of Andhra Pradesh, India. Using machine learning models to predict ...

To address these issues, this paper proposes an improved F-RRT* algorithm based on the Generalized Voronoi Diagram (GVD), called GVDF-RRT*. First, a sparse sampling strategy based on GVD is proposed, ...

Objectives This study aimed to compare the performance of five machine learning algorithms to predict diabetes mellitus ... training and test sets to evaluate predictive performance. In general, 80% ...

This chapter presents the multi‐agent system (MAS)‐genetic algorithm (GA)‐based approach for Internet of Things (IoT) workflow scheduling in Fog‐Cloud computing, which aims to optimize makespan, cost ...