Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

CERES program updates include operational satellite instruments, algorithm advancements, machine learning applications, and ongoing missions measuring Earth’s energy budget and climate system changes.

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular surface structure of "premelted" ice, resolving a long-standing mystery ...

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

Overview AI enhances farm productivity by detecting crop diseases early and optimizing resource usage efficiently.Livestock ...

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...

Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...

Predictive algorithms help retailers leverage historical data and trend analysis to forecast future product demand with greater accuracy. Retailers forecast ...

Researchers Yue Zhao and Kang Pu from Stony Brook University—in collaboration with Ecosuite's John Gorman and Philip Court, and leveraging historical datasets provided by Ecogy Energy—have devised a ...