IEEE

RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection

Abstract: Neural architecture search (NAS) is an automated technique to design optimal neural network architectures for a specific workload. Conventionally, evaluating candidate networks in NAS ...
TMCnet

Pulsetto Unveiled: How Pulsetto Emerges as a New-Age Vagus Nerve Stimulation Device Backed by Neuroscience and Consumer Demand - Pulsetto Fit

Unlike clinical-grade stimulators that require medical supervision or invasive procedures, Pulsetto is positioned within the ...
Drives & Controls

Neural networks halve distance measurement errors

The German sensor-maker Leuze claims that it has been able to cut measurement errors in demanding industrial applications by ...
Learn With Jay on MSN

Neural network activation functions explained simply

Confused about activation functions in neural networks? This video breaks down what they are, why they matter, and the most common types — including ReLU, Sigmoid, Tanh, and more! #NeuralNetworks #Mac ...

Interpretable neural networks help reveal the nature of dark matter

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...
IEEE

Neural Network Models for Predicting Magnetization Surface Switched Reluctance Motor: Classical, Radial Basis Function, and Physics-Informed Techniques

Abstract: Neural networks have increasingly been utilized in electric drive systems to enhance modeling, control, and optimization. These data-driven techniques enable accurate predictions of complex ...
Frontiers

Observing walking with asymmetric treadmill belt speeds induces stronger activation of the action observation network than normal walking

Introduction: Observing the actions of others activates the action observation network (AON). Although previous studies have reported that motor experience and visual familiarity with an observed ...