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 ...

The car industry is evolving with the integration of agentic artificial intelligence (AI) in intelligent vehicles, revolutionizing the car manufacturing process through data-driven design and ...

Design for manufacturing (DfM) is evolving from traditional engineering practices into a data-intensive discipline that requires real-time integration of manufacturing capabilities, supplier ...

Stormwater that runs off buildings and paved streets frequently carries high levels of pollutants into rivers and lakes, some of which serve as sources of drinking water. Rain gardens, green ...

In the rapidly evolving landscape of modern manufacturing and engineering, a new technology is emerging as a crucial enabler-Data-Model Fusion (DMF). A recent review paper published in Engineering ...

Programmable material systems are emerging architectural structures but the co-design of structure, material, and external stimuli present grand challenges. A team with Northwestern Engineering’s Wei ...

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 ...

Supply chain leaders increasingly rely on data science to navigate disruptions, optimize operations and drive decisions. Yet data, like crude oil, holds no value unless refined into usable insights.

A robust data strategy is paramount for harnessing generative AI (GenAI), which is poised to significantly elevate global GDP by $7 trillion and enhance productivity within the next decade. In my ...