IEEE

Predicting Financial Statement Fraud with Deep Q-Network (DQN) Model: A Machine Learning Approach

Abstract: Financial statement fraud (FSF) involves inflating asset, income, sales, and profit numbers while minimizing expenses, liabilities, and losses. Traditional fraud detection procedures like ...
Nature

How to build an AI scientist: first peer-reviewed paper spills the secrets

AI Scientist, an autonomous research tool, first released in 2024, has now undergone peer review, highlighting its strengths ...

Turning CO₂ into methanol: Multilayer machine learning speeds up search for better catalysts

Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...
Nature

Major conference catches illicit AI use — and rejects hundreds of papers

A major artificial-intelligence conference has rejected 497 papers — roughly 2% of submissions — whose authors violated ...
IEEE

Benchmarking Model Predictive Control and Reinforcement Learning-Based Control for Legged Robot Locomotion in MuJoCo Simulation

Abstract: Model Predictive Control (MPC) and Reinforcement Learning (RL) are two prominent strategies for controlling legged robots. RL learns control policies through system interaction, adapting to ...