Blockchain analytics firm Elliptic says it discovered potential money laundering patterns on the Bitcoin blockchain after training an artificial intelligence (AI) model using a record 200 million transactions. In a paper co-authored with researchers at MIT-IBM's Watson AI Lab, Elliptic said Elliptic used the transactions to learn a set of "shapes" money laundering exhibits in cryptocurrencies and accurately classify new criminal activity.
"The money laundering techniques identified by the model have been identified because of their prevalence in Bitcoin," Tom Robinson, co-founder of Elliptic, said in an email. "Cryptocurrency money laundering practices evolve over time as they are no longer effective, but one advantage of artificial intelligence/deep learning methods is that new money laundering patterns are automatically identified as they emerge."
Blockchain analytics firm Elliptic uses 200 million Bitcoin transactions to explore artificial intelligence and anti-money laundering
2024-05-02 02:10:08
Disclaimer:
1. The information provided does not constitute investment advice. Investors should make independent decisions and bear all risks themselves.
2. The copyright of this content belongs to the original author. The views expressed herein are solely those of the author and do not represent the stance or position of this website.
Previous article：
Wintermute deposits 771.6 BTC to Binance, worth 44.46 million USDNext article：
中金：美联储今年或只会降息一次 时间点在第四季度
