In smart grid management, ML enables dynamic control of distributed energy sources, managing real-time energy flows and ...

The results are really astonishing. Tests show that offices save up to 37% on their energy bills with AI-optimized and ...

This article explores the current applications of artificial intelligence (AI) in chromatography. It anticipates AI’s ...

The paper offers up 13 areas where machine learning can be deployed, including energy production, CO 2 removal, education, solar geoengineering, and finance.Within these fields, the possibilities ...

In this letter, a multi-modal learning and control framework is proposed for the control of a supernumerary robotic limb (SRL). The SRL is a wearable robotic arm designed to enhance the manipulation ...

Machine learning-based software is vital for future Internet of Things (IoT) applications and Connected and Autonomous Vehicles (CAVs) as it provides the core value of these services by leveraging the ...

What Is Unsupervised Learning? Unsupervised learning is a type of machine learning that uses algorithms to analyze and draw inferences from unlabeled data.. The model is not given explicit ...