We break down neural networks, the backbone of modern AI, explaining how they mimic the human brain to recognize patterns, process data, and solve complex problems.

A hybrid approach to AI is powering Amazon’s Rufus shopping assistant and cutting-edge warehouse robots.

A parametric version of t-SNE that employs neural networks is less commonly known, yet it has demonstrated superior performance in dimensionality reduction compared to the standard implementation.

All algorithms implemented in Python - for education Implementations are for learning purposes only. They may be less efficient than the implementations in the Python standard library. Use them at ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

This public repository contains Python (Jupyter) notebooks for developing different architectures and corresponding training algorithms for standalone constrained and unconstrained RBF as well as ...

The world is gradually moving towards being a smart planet. Intelligent Transportation Systems are a key constituent of any smart planet solution. Forecasting Traffic flow is one of the aspects of ...

The genetic code is textbook scientific knowledge that was soundly established without resorting to Artificial Intelligence (AI). The goal of our study was to check whether a neural network could ...

Keywords: task assignment problem, multiple autonomous underwater robots, cluster collaboration, genetic algorithm, graph pointer network Citation: Ru J, Hao D, Zhang X, Xu H and Jia Z (2023) Research ...