Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

The ROAR trial tested the hypothesis that returning familial hypercholesterolemia-associated genetic results leads to ...

After decades of teaching and research at leading global institutions such as Harvard University and the Massachusetts ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

Road networks are critical public assets that must be monitored, modeled, and maintained with rigor and efficiency. As agencies face heavier traffic, ...

In a remote corner of East Greenland, a section of mountain gave way, collapsing into a narrow glacial fjord bounded by steep ...

Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...

Dubai Roads and Transport Authority (RTA) has launched a Transport Data Analysis Laboratory at its Enterprise Command and Control Centre (EC3), strengthening Dubai’s capabilities in data-driven ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...