New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI computational models that predict ...

The rapid evolution of neural network methodologies has significantly improved the prediction of respiratory motion, which is critical for the precision of radiotherapy and robotic-assisted surgical ...

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

Multi area RNN models fitted to in-vivo cortical activity predict behavioral changes induced by optogenetic perturbations, if biologically informed connectivity constraints on the optogenetically ...

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 ...

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 ...

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

Artificial intelligence (AI) is the buzz phrase of 2024. Though far from that cultural spotlight, scientists from agricultural, biological and technological backgrounds are also turning to AI as they ...

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