Understanding neural network dynamics is a cornerstone of systems neuroscience, bridging the gap between biological neural networks and artificial neural ...

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

Despite advances in machine vision, processing visual data requires substantial computing resources and energy, limiting deployment in edge devices. Now, researchers from Japan have developed a ...

Neurosymbolic AI combines the learning of LLMs with teaching the machine formal rules that should make them more reliable and ...

Network models are a computer architecture, implementable in either hardware or software, meant to simulate biological populations of interconnected neurons. These models, also known as ...

My dad passed away December, previously had Dish with an automatic charge. I am PR of his estate. My dad's girlfriend called and told them he was deceased and the account should be closed in ...

Computational neuroethology is an emerging field that combines neuroscience, ethology, and computational modeling to understand how the brain generates ...