EDA produces a lot of data, but how useful is that for AI to consume? The industry looks at new ways to help AI do a better job.

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

EMS is one of the most hands‑on and practical automation systems in pharma. It is simultaneously about engineering, regulatory requirements and operator convenience. Proper architecture (local logic ...

Driven by the artificial intelligence frenzy, Microsoft is internally projecting that water use at its data centers will more than double by 2030 from 2020, including in places that face shortages.

Microgrids are increasingly vital as power demand outpaces utility infrastructure, requiring advanced control and forecasting capabilities. Integration of renewables, batteries, and emerging ...

The world of data visualization can leave you to choose between expensive software or difficult-to-learn software. lessR simplifies the process of obtaining professional-quality data visualizations at ...

Posit’s ggbot2 is a voice assistant for ggplot2. Tell it what you want in a spoken conversation, and it will generate plots and ggplot2 R code from your data. Typing questions into a chatbot is nice, ...

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...

Abstract: The success of deep learning heavily relies on the large amount of training samples. However, in scientific visualization, due to the high computational cost, only few data are available ...