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 ...

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

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

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, ...

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 ...

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...

Culture is your ultimate advantage. AI tools and platforms may speed things up, but without a workforce that learns continuously, experiments openly and adapts quickly, progress will stall. Technology ...

Northwestern Medicine scientists have discovered that targeting neuronal signaling controlling aberrant learning in the ...

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.