Artificial intelligence (AI) and computational modeling are transforming the landscape of neuroscience, offering unprecedented opportunities to detect, ...

Abstract: The recent integration of Machine Learning (ML) and sensor technologies in healthcare, particularly for diagnosing Major Depressive Disorder (MDD), has paved the way for advanced predictive ...

Kajal Sheth, Staff Engineer at Reactivate, discusses how engineering, data science, and AI are converging to shape the future of community solar and enhance clean energy resilience in the U.S.

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

Data scientists are in high demand—and for good reason. Companies rely on them to turn large, messy datasets into insights that drive smarter decisions. It’s a … ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Abstract: This article shows how the design of switching power converters at the component level can be assisted by data-driven, automated, systematic methods. This work uses regression machine ...