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

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, ...

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

Researchers use large language models to streamline nanoscopic material design for advanced optical systems like camera ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

After traumatic brain injury (TBI), some patients may recover completely, while others retain severe disabilities. Accurately ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

They trained a neural network on 14 million 30-second long samples of sea surface elevation measurements from 172 buoys located off the shores of the continental United States and Pacific Islands. The ...

This allowed them to determine the extent to which the participants' neural responses when watching videos resembled those of other students who they did not yet know, but with whom they later became ...