Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

Predicting how molecular changes affect the brain's overall activity is a major challenge in neuroscience. Many deep ...

One of the most crucial and expensive parts of electricity transmission and distribution systems is power transformers. In power distribution and transmission networks, quickly diagnosing power ...

A new image compression technique is presented using hybrid neural networks that combine two different learning networks, the auto-associative multi-layer perceptron (AMLP) and the self-organizing ...