Neural Network Architecture Diagrams Using diagrams.net (aka draw.io) to generate diagrams to better visualize neural network model architecture ...

A Surrogate Model With Multiple Comparisons and Semi-Online Learning for Evolutionary Neural Architecture Search Evolutionary Neural Architecture Search (ENAS) refers to techniques to automatically ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

Recent research has employed chemical reaction networks (CRNs), which harness biochemical processes for computations that translate interactions involving biochemical species into graphical form.

This change is used as an output signal, so such structures work like artificial neurons in a neural network," said Alexey Kavokin. The architecture proposed by St. Petersburg State University ...

Shanechi in their paper. "We present dissociative prioritized analysis of dynamics (DPAD), a nonlinear dynamical modeling approach that enables these capabilities with a multisection neural network ...

Neural Architecture Search (NAS) is a promising technique to automate the architectural design process of a Neural Network in a data-driven way using Machine Learning (ML) methods. The search method ...

Neuromorphic computing, as a novel approach to processing information by mimicking biological neural networks, has gradually demonstrated significant ...

A team has made a major breakthrough in the field of three-dimensional (3D) imaging of large-scale biological tissues. They ...