Abstract: Graph neural network (GNN) have gained extensive adoption in diverse fields, including IoT anomaly detection, social network analysis, and drug molecule prediction, due to their exceptional ...

Demand for AI-capable engineers has surged 60% in the past year, but as hiring accelerates, companies are increasingly ...

Abstract: Network Intrusion Detection (NID) examines network traffic to identify unauthorized access, attacks, or anomalous behavior and maintain system security and integrity. Conventional intrusion ...

This project implements a Spiking Neural Network (SNN) using the Brian2 neuromorphic simulator, featuring biologically-inspired Spike-Timing-Dependent Plasticity (STDP) learning. The network is ...

Rats with a history of cocaine use exhibited prolonged encoding of idiosyncratic task features in orbitofrontal cortex and a reduced ability to compress such features to identify underlying hidden ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

Liberals at the network news divisions don’t have an objective or nonpartisan vision when it comes to who in politics can be defined as extreme. When you're a liberal, Vermont Independent Sen. Bernie ...

This repository contains my implementation of a feed-forward neural network classifier in Python and Keras, trained on the Fashion-MNIST dataset. It closely follows the tutorial by The Clever ...