A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

The researchers behind the recent work, based in China, decided to implement something similar for an artificial skin that ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

This project implements ResNet-50, a deep convolutional neural network with 50 layers that uses residual connections to enable training of very deep networks. The architecture includes identity ...

Ethereum (ETH) fell from $4,953 in August to around $3,446 by November as Layer 2 networks reduced mainnet fee revenue and token burns. Ethereum’s daily gas fee revenue dropped from over $30M to ...

To explain how a convolutional neural network (CNN) processes an image, it is common to generate classification activation maps (CAMs) to reveal image areas that are relevant to output. Nevertheless, ...

A SpaceX Falcon 9 on Oct. 15, 2025, launched 21 satellites for the Space Development Agency's Transport Layer. Credit: Lockheed Martin WASHINGTON — A SpaceX Falcon 9 rocket on Oct. 15 launched 21 ...

Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs through layers, calculating activations, and preparing data for ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

As cybersecurity threats grow more sophisticated, traditional network architectures struggle to keep pace, especially in sectors reliant on legacy hardware. IMPRES Technology Solutions has introduced ...

Extreme Networks has fully launched its Extreme Platform One, an agentic AI-focused network visualization offering. Revealed back in February, the platform is now generally available, with the vendor ...