Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...

River corridor science is an evolving multidisciplinary field that investigates how geology, hydrology, and biology interact to shape stream morphology, ...

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

According to Brian Ferdinand, a portfolio manager at EverForward and Strategic Advisor to Helix Alpha Systems, predictive ...

AXA Group senior leadership explain how the insurer is harnessing AI to transform the insurance model, moving from ...

From predictive maintenance to training, digital twins are becoming a core platform for operational efficiency in these sectors.

Abstract: Event logs record the execution of business processes as sequences of timestamped events. Most predictive process monitoring methods still learn a separate model per log: when the process, ...

Honeywell’s HALO machine learning system predicted pressure disturbances and cycle delays with 12-minute notice, enabling operators to take preventive action before shutdowns occurred. The ...

Improved accuracy in predicting corporate financial fraud significantly enhances regulatory efficiency and market stability. However, detecting increasingly sophisticated fraud patterns remains ...

During WEFTEC, Dave Rutowski explained how WIMS Process manager leverages industry-standard models to provide tailored dashboards and predictive insights that help wastewater facilities balance ...

Dr. Bin Tang, Founder & CEO of Noah Digital, is an internationally recognized AI & digital marketing leader & author of “Local to Global.” For years, digital marketing has been synonymous with ...