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

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

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

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

Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...

Look closely at this image, stripped of its caption, and join the moderated conversation about what you and other students see. By The Learning Network Students of all ages are invited to send in ...

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

AWS data center principal engineer Saurabh Kumar departs Amazon to join Elon Musk’s AI startup xAI as its new machine ...

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.