Modern control system design is increasingly embracing data-driven methodologies, which bypass the traditional necessity for precise process models by utilising experimental input–output data. This ...

AI is turning training catalogs into smart learning ecosystems that personalize skills, predict needs and help institutions ...

Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...

From 11.5 million alloy candidates to AI-guided perovskites, this piece unpacks how materials informatics is speeding up discovery, design, and deployment in engineering.

Recognizing the significant benefits in strategic decision-making, improved customer insights, enhanced operational efficiencies and increased competitive advantage, companies are increasingly ...

Many organizations today are overwhelmed by vast amounts of data from diverse sources, such as consumer interactions, market trends and operational processes. Mastering data management and analysis is ...