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 ...

The Indonesian Throughflow carries both warm water and fresh water from the Pacific into the Indian Ocean. As the only ...

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 ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...

The audio version of this article is generated by AI-based technology. Mispronunciations can occur. We are working with our partners to continually review and improve the results. Clarence D. Snowboy, ...

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