Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

Through its proprietary LTM, ‘NEXUS’, Fundamental reveals the hidden language of tables to unlock trillions of dollars in enterprise value, while a strategic partnership with AWS accelerates adoption ...

During his more than two decades with Nvidia, Rev Lebaredian has had a ringside seat to the show that has been the evolution of modern AI, from the ...

Skeleton is an exhilarating Winter Olympic sport in which athletes race head-first down an ice track at speeds reaching over ...

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.

According to A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges, published in Sensors, AI-based predictive maintenance systems ...

Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster ...

FAYETTEVILLE, GA, UNITED STATES, January 29, 2026 /EINPresswire.com/ -- Accurate atmospheric temperature profiles are ...

AI-native air interfaces represent a shift from mathematical models to learned representations at the PHY layer.

Abstract: As the operating frequency of automated test equipment (ATE) increases, the thermal degradation of the components that constitute the channel accelerates. Degraded components cause signal ...