Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...
Neuroscience continually strives to unravel the intricate relationship between neural network morphology, spiking dynamics, and their resulting functional ...
A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...
A new study suggests that the brain processes information with high efficiency by synchronizing the physical wiring of neural ...
Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...
The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
A new technical paper titled “Deep-learning atomistic semi-empirical pseudopotential model for nanomaterials” was published ...
When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...