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 ...

How AI coding agents work—and what to remember if you use them

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Structural findings reveal how distinct GPCR ligands create different levels of activation

G-protein coupled receptors (GPCRs) are proteins triggered by ligands (protein-binding chemicals) from outside cells to ...
IEEE

Implementation of Activation Functions using various approximation methods

Abstract: This paper compares the performance of activation function hardware under exponential function approximation techniques. The activation function is a key component of deep neural networks, ...