The healthcare industry is at a crossroads. Advanced analytical technology and operational efficacy converge with strategic ...

How prediction machines have become infrastructure for the legitimacy of event outcomes, no matter how outlandish.

Philadelphia is bracing for a significant snow storm that could bring bitterly cold temperatures and measurable snowfall ...

Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...

Discover the best business intelligence (BI) tools of 2026 that help enterprises transform data into actionable insights.

has been cited by the following article: TITLE: Navigating Integration Challenges and Ethical Considerations of AI in E-Commerce: A Framework for Best Practices and Customer Trust ...

Power requirements for industrial and utility operations change constantly, creating a mismatch with static power solutions. This whitepaper discusses Energy Management as a Service (EMaaS™) and how ...

Overview:  AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...

Abstract: For effective energy management in renewable power systems, precise wind power prediction is crucial. In this work, we utilize historical SCADA data to propose a Deep Learning(DL) framework ...

Abstract: The lack of meteorological forecast data has increased the inaccuracy of output power forecasting in distributed photovoltaic systems. Especially, for newly built distributed sites across ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large. Some accounts estimate that AI is driving 90% of US GDP growth, while others ...

AI data centers require incredible amounts of energy to run. NPR's Planet Money investigates how that demand for power might affect your electric bills. Tech companies invested hundreds of billions of ...