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

Image created using AI under the prompt: A futuristic architectural landscape exemplifying data-driven architecture. Image via DALL.E 2 Although cultural, social, and even religious factors can ...

In this Perspective, we discuss the main advances in the MP over the past decade, contextualized within the materials science community, and we outline the remaining challenges and the philosophy with ...

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 ...

The well-known proverb “He who controls the information controls the world” becomes very helpful in the business context. The point is that data isn't an asset anymore—it's a source of competitive ...