Building effective data pipelines is critical for organizations seeking to transform raw research data into actionable ...

The capacity of learning analytics platforms to collect troves of student data makes them both institutional necessities and ...

Researchers have demonstrated a new technique that allows "self-driving laboratories" to collect at least 10 times more data ...

Jerod Johnson, senior technology evangelist, CData Software, and Phillip Miller, senior product marketing manager, AI, Progress, joined DBTA's webinar, Powering AI/ML & Analytics with Smarter Data ...

This article is this edition's winner of the ASU Writing Competition. The competition is open quarterly to current ASU ...

Innovation requires information, context, collaboration, experimentation, and even failure. Using simulation to make decisions across the product life cycle, from initial concept to end of life and ...

To simulate blood flow inside brain aneurysms, researchers from Japan have developed a computational method that combines 4D flow MRI, computational fluid dynamics, and data assimilation, which ...

As AI adoption accelerates across industries, the competitive edge no longer lies in building better models; it lies in governing data more effectively. Enterprises are realizing that the success of ...

Background The burden of cardiovascular events in Africa is projected to rise significantly in the coming decade, placing ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

This case presents a woman in her late 50s with hidradenitis suppurativa (HS) who presented for weight loss, syncope and ...