It is essentially a "pixel bot", designed primarily for use with first-person shooter games. Please check that the user agreement for your game allows the use of such a programs! This aimbot achieved ...

A team of scientists in the United States has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a dataset ...

Here we proposed a hybrid neural network (Hybrid-NN) as a novel scheme to improve the detection performance in terms of validation accuracy and required training data amount. The idea is to insert ...

This paper presents an experimental study on the development of a neural network-based agent, trained using data generated using declarative programming. The focus of the study is the application of ...

The rise of deepfake technologies has posed significant challenges to privacy, security, and information integrity, particularly in audio and multimedia content. This paper introduces a ...

Economists from HSE University have developed a neural network model that can predict the onset of a short-term stock market crisis with over 83% accuracy, one day in advance. The model performs ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...