A fleet-capable robot drills concrete up to 10x faster, cutting data center construction timelines by as much as 80 weeks.

Artificial intelligence/machine learning-driven modeling reduces time to market for faster design technology co-optimization development..

The Advanced Transportation Features dataset builds on Nearmap consistent, frequently updated aerial capture and Ecopia's proven feature extraction capabilities to provide accurate, standardized ...

In apparel, some of the most expensive mistakes happen long before production starts, in the grey area between design, ...

Introduction Psychosocial safety climate (PSC) is increasingly recognised as an important organisational resource for promoting mental health at work and preventing psychosocial risks, which are ...

Objective This systematic review aims to evaluate the effectiveness of exercise interventions in alleviating depression and ...

Speeding up drug discovery in the age of AI may come down to a concept that's comfortingly old-fashioned: Consulting a ...

Materials research generates vast amounts of data, but the information often exists in manufacturer-specific formats and the terminology is inconsistent, making it difficult to aggregate, compare, and ...

A proposed data center campus will rise above Business Route 6 in Archbald while pumping in up to 3.3 million gallons of ...

Direct Message: Website abandonment isn’t a design problem; it’s a trust deficit that activates the same psychological ...

Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.

Last month’s column talked about a simpler way to exchange stackups with manufacturing partners. This month, continuing the theme of migrating from handoffs to bidirectional design data exchange, we ...