A team from the University of Córdoba is using artificial intelligence to forecast the annual solar energy available in ...

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

Data analytics studies existing business data to identify patterns, trends, and insights that support better decisions.Data ...

The Green Horizons initiative from IBM is using data analytics to measure air pollution in big African cities. It is also working with various government bodies to improve air quality and increase the ...

Abstract: The increasing complexity and volume of plasma fusion experimental data, coupled with the growing adoption of machine learning in fusion research, necessitate advanced and efficient data ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...

Add Yahoo as a preferred source to see more of our stories on Google. Rawpixel / Getty Images Even if we do laundry almost every day, it’s easy to forget that the washing machine itself needs regular ...

Discover rapid miner for advanced data analytics and machine learning. This powerful rapidminer software streamlines predictive modeling. The core strength of this rapidminer software lies in its ...