Researchers develop data-guided simulations for more accurate modeling of random systems

Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...
archive

Deep learning approaches for analyzing and controlling rumor spread in social networks using graph neural networks

An illustration of a magnifying glass. An illustration of a magnifying glass.
IEEE

Lightweight state of charge estimation of lithium-ion battery based on pruned neural networks

Abstract: Neural networks have been widely adopted for state of charge (SOC) estimation due to their high-efficiency non-linear mapping, adaptive and self-learning abilities. However, their ...
GitHub

NeuralBot - Neural Network Aimbot

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 ...
IEEE

Neural-Network-Based Recursive State Estimation for Nonlinear Networked Systems With Binary-Encoding Mechanisms

Abstract: This work addresses the problem of recursive state estimation for networked control systems with unknown nonlinearities and binary-encoding mechanisms (BEMs). To enhance transmission ...
GitHub

Simple Neural Network Models

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...
Benzinga.com

Vertiv, Palo Alto Networks, DraftKings And A Big Bank On CNBC's 'Final Trades'

On CNBC's “Halftime Report Final Trades,” Stephen Weiss, chief investment officer and managing partner of Short Hills Capital Partners, said Vertiv Holdings Co VRT is down 20% since reporting ...