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 ...

Abstract: Bubble burst and coalescence are key indicators of froth stability, and play a vital role in flotation process monitoring. This article presents a tracking-based framework to improve recall ...

Abstract: Quantum computers are the latest dream of humans in solving nondeterministic polynomial problems. These problems include machine learning and object classification. However, commercial ...

This repository contains a handwritten digit recognition project using deep learning. The model is trained on datasets like MNIST to classify digits (0-9) with high accuracy.

Brain tumors pose a critical threat to human health, and early detection is essential for improving patient outcomes. This study presents two key enhancements to the YOLOv11 architecture aimed at ...

In this video, we will understand what is Padding in Convolutional Neural Network and why do we need padding in Convolutional Neural Network Convolution Operation faces two problems: 1.) The size of ...

Researchers unveil OneFlip, a Rowhammer-based attack that flips a single bit in neural network weights to stealthily backdoor AI systems without degrading performance. Autonomous vehicles and many ...