The way machines behave depends on working sites, shifts, climates and duty cycles. Predictive maintenance is precision ...

Evolving toxicity assessments for engineered nanoparticles underline the importance of predictive models and life-cycle risk ...

Trackonomy reports that global supply chains face increasing challenges from climate disruptions and cyberattacks, making ...

To counterbalance this, AI-driven predictive technology is helping clinicians to identify risk early enough for closer ...

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...

Dengue is becoming a bigger challenge in many parts of the world, including Latin America, as the factors that influence mosquito-borne disease continue to shift. McCord noted that in the Amazon and ...

What’s launching today is Pecan’s “predictive agent,” an autonomous system that can interpret a company’s unique data structure, or “fingerprint,” by breaking down the predictive workflow into ...

Praveen Shiveswara Sridharamurthy has spent more than two decades architecting cutting-edge solutions for oil and gas operators worldwide, helping them harness the power of operational data to improve ...

WRAL meteorologists Elizabeth Gardner and Grant Skinner break down the ingredients of predictive weather models, explaining ...

Introduction You are tasked to lead a 40-truck convoy resupplying combat troops at the front during large-scale combat ...

Can anyone remember their life before artificial intelligence (AI)? Many struggle with that, but what I do remember is how things worked in the business sector, especially in education.

Hospital supply chain return on investment is being redefined. Price still matters, but for many health systems, the technologies delivering the greatest value today are those that prevent shortages, ...