M. Liu, J. Narciso, D. Grana, E. Van De Vijver, and L. Azevedo, 2023, Frequency-domain electromagnetic induction for the prediction of electrical conductivity and magnetic susceptibility using ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

Expectation optimizes perception through center-surround inhibition, enhancing expected representations while suppressing similar, irrelevant ones.

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...