This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...

1 School of Electronic and Information Engineering, Beijing Jiaotong University, China 2 School of Automation and Intelligence, Beijing Jiaotong University, China Recently, Deep Unfolding Networks ...

Learn how to build an AI tool step by step, from data and models to deployment, with tips for success and promotion strategies.

This paper proposes a predictive regression model based on Convolutional Neural Networks(CNN) for predicting the magnetic field peaks of periodic magnetic systems under different periods within a ...

This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch. Dropout in Neural Network is a regularization technique in Deep Learning to ...

Alongside text-based large language models (LLMs), including ChatGPT in industrial fields, GNN (Graph Neural Network)-based graph AI models that analyze unstructured data such as financial ...

Abstract: Deploying deep neural networks on edge devices requires compact and efficient models. This study investigates the compression of convolutional neural networks using Tensor Train (TT) and ...