The technology used in AI to simulate human thought processes is primarily based on machine learning and neural networks. These algorithms allow systems to analyze data, identify patterns, and make decisions or predictions based on that analysis. Deep learning, a subset of machine learning, utilizes multiple layers of neural networks to process large volumes of data and improve overall accuracy. By mimicking the cognitive processes of the human brain, AI can perform tasks such as natural language processing, image recognition, and complex problem-solving.