Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile ...

The statistical relationship between average shortest path length (ASPL), Gradient-Resistance(GR) and average output-neuron parameters usage (AOPU). We calculated three values on 64-node, 4-degree ...

This project aims to construct a neural network structure using the Neo4j graph database. The objective is to model a neural network using only Neo4j and Python, without relying on popular libraries ...

Science Institute and Faculty of Physical Sciences, University of Iceland, Reykjavík 107, Iceland ...

Neural Therapeutics Inc. (CSE: NURL) ("Neural" or the "Company"), an ethnobotanical drug discovery company dedicated to developing therapeutic drugs for mental illnesses related to substance use ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that their research team has used quantum neural networks to classify and extract features from data in databases, ...

The Research Topic serves as a repository of the research presentations and communications at the 2023 summer conference titled “Structure, function and development of neural circuits” (21–23 August ...

The field of image synthesis has experienced remarkable advancements, thanks to exponential growth in computing power and innovative algorithm development.

The ability to predict outcomes and trends can mean the difference between thriving and merely surviving. Enter artificial neural networks (ANNs)—the powerful tools that are revolutionizing predictive ...

Abstract: In this chapter, the concept, structure, algorithm form, and equalization criterion of the blind equalization are first introduced. And then, the fundamental principle and learning method of ...

A recent study published in JAMA Network Open suggests that maintaining a high-quality diet and managing abdominal fat during midlife may help preserve brain health and cognitive function in later ...

Existing methods are devoted to developing various robust training strategies or regularizations to update the weights of the neural network. But beyond the weights, the overall structure and ...