Artificial neural networks (ANNs) have emerged as a transformative tool in the measurement and analysis of multiphase flows, where they contribute to enhanced accuracy and efficiency in characterising ...

An artificial neural network (ANN) is a type of machine learning that identifies patterns from data to make predictions about its features. Scientists like Grace Lindsay, computational neuroscientist ...

A schematic of the stimuli seen by the mouse after vision onset in a virtual corridor rich with optic flow, created using a 3D animation software and used as the training dataset (Methods 4.1.4). The ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, structureless data. Yet when trained on datasets with structure, they learn the ...

This innovative IoT-ANN framework allows for non-destructive concrete strength assessment, improving accuracy and ...