[Chinese Public Security University Researcher Develops AI Algorithm to Track Bitcoin Money Laundering with an Overall Accuracy of Approximately 90%] BlockBeats News, August 2: Researchers from the Chinese People's Public Security University have developed an AI framework capable of detecting illegal cryptocurrency transactions with an overall accuracy rate of nearly 90%. The study was published in the Chinese peer-reviewed journal *Journal of Intelligence*. Corresponding author Dr. Sun Jingchao (specializing in criminal investigation and cybersecurity) stated that the research 'provides a precise, scalable, and interpretable solution for detecting illegal cryptocurrency transactions' and offers 'an innovative technological pathway' for regulatory agencies to combat illegal cryptocurrency transactions and economic crimes. The AI framework utilizes memory modules and large language models, specifically targeting the anonymity and cross-border characteristics of cryptocurrencies to identify and track illegal activities such as money laundering. The release of this research comes as China continues to intensify its crackdown on financial crimes related to cryptocurrencies. In March of this year, China's Supreme People's Procuratorate disclosed that throughout 2025, prosecutorial agencies had prosecuted 3,259 individuals for money laundering crimes involving virtual currencies and underground banks. With the rapid growth of cryptocurrency trading volumes, the anonymity and cross-border nature of cryptocurrencies have provided channels for illicit fund flows. The AI detection tool independently developed by the police signifies a shift in regulatory technology from passive tracking to proactive intelligent identification. [Original Link]