Researchers at the Georgia Institute of Technology have created (https://neurosciencenews.com/ai-decision-making-26439/) a neural network, RTNet, that mimics the human decision-making process by taking into account uncertainty and evidence accumulation. Tests have shown that RTNet exhibits human-like accuracy, reaction speed, and confidence. This discovery could improve the reliability of AI systems and reduce cognitive load in everyday life. RTNet not only outperforms other models, but also intuitively applies human confidence, making it a breakthrough tool in the field of artificial intelligence