The built environment faces increasing pressures from climate change, resource limitations, and rapid urbanisation.

The Vertiv Frontiers report examines how AI factories and large-scale compute demands are influencing power, cooling and ...

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 ...

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 ...

Hyperscalers, AI firms, cloud providers, and data center operators are pushing for data centers to be operational in 12 to 14 ...

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 ...

Data-driven science represents a transformative paradigm in materials science. Both data-driven materials science and informatics encompass systematic knowledge extraction from materials datasets.

If every electric car claims to save the planet, Polestar is the rare one that actually shows its work. While legacy automakers make noise about sustainability, Polestar hands over spreadsheets, not ...