The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

AI & automation are revolutionizing materials discovery, enabling faster, and more sustainable breakthroughs across scientific fields.

This work presents a comprehensive review of the developments in using Machine Learning (ML)-based algorithms for the modeling and design optimization of switched reluctance motors (SRMs). We reviewed ...

Machine Learning (ML) algorithms applied to various chemical and materials science problems sparked a scientific and technological revolution, which allows addressing fundamental questions and ...

Furthermore, it is important to automate these decisions using machine learning (ML). In this article, we review the ML schemes that provide intelligence integrated with IoT used in healthcare systems ...

A suite of machine learning algorithms and SHAP (SHapley Additive exPlanations) interpretation techniques were employed to improve model transparency and predictive accuracy.