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 ...

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

For decades, the construction industry followed a familiar rhythm: design came first, materials followed. The pressing need for sustainable buildings has shattered this routine. Material selection is ...

A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse data sources with minimal rework. In today’s data-driven landscape, ...

Product lifecycle management (PLM) is undergoing major changes as artificial intelligence evolves from experimental technology to operational necessity. Traditional PLM systems were developed on ...

Together, Risklick and Citeline deliver an integrated, intelligent protocol development experience that combines smart ...

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 ...