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

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 ...

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 ...

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

(Nanowerk Spotlight) The pursuit of more efficient organic electronics, from OLED displays to organic solar cells, has been an enduring challenge across materials science. But the vastness of possible ...

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 ...

Those who pair innovation with disciplined execution will be best positioned to scale AI responsibly, intelligently and 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 ...

As the new academic year begins, students are entering the classroom with mounting pressures amplified by current political, environmental and social forces. Aspects such as rapid advancement in ...