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

Scientists suggested approaches of "strong" and "weak" prediction in order to prognose the behavior of stochastic, that means random systems, with the help of neural networks. Authors defined when it ...

In our increasingly electrified world, supercapacitors have emerged as critical components in transportation and renewable energy systems, prized for their remarkable power density, cycling stability, ...

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

Physics-informed neural networks are faster and more accurate at predicting space junk trajectories than conventional methods, says Sierra Space. Credit: Alamy Stock Photo Sierra Space says it can ...

The demand for immersive, realistic graphics in mobile gaming and AR or VR is pushing the limits of mobile hardware. Achieving lifelike simulations of fluids, cloth, and other materials historically ...

A new study suggests that the brain processes information with high efficiency by synchronizing the physical wiring of neural ...