Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...

Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

AUBURN, Ala. (WTVM) - Alabama Power is preparing for the spring storm season with a new predictive technology designed to reduce power outage times and better position crews before storms hit. The ...

Three books unpack our infatuation with prediction, and what we lose when we outsource this task to machines. To be human is, fundamentally, to be a forecaster. Occasionally a pretty good one. Trying ...

A multidisciplinary team led by MUSC Hollings Cancer Center researcher Sophie Paczesny, M.D., Ph.D., developed an AI-based tool that can identify patients at higher risk for serious post-transplant ...

Cleveland-Cliffs, Inc. is a flat-rolled steel company, which engages in provision of iron ore pellets to the North American steel industry. It focuses on the production of metallic and coke, iron ...

An international team of scientists has identified how to pinpoint and predict hotspots for some of the most dangerous species of scorpion in the world. The researchers have established the key ...

You are tasked to lead a 40-truck convoy resupplying combat troops at the front during large-scale combat operations. The mission is critical, and every vehicle must complete it as quickly, ...

There are a lot of different terms that are connected to the data field: artificial intelligence, machine learning, neural nets, and deep learning. But do you know the difference between them? Each ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...