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Researchers at the Chinese People's Public Security University have developed an AI algorithm to track Bitcoin money laundering, achieving an overall accuracy rate of about 90%

Researchers at the Chinese People's Public Security University have developed an AI framework capable of detecting illegal cryptocurrency transactions with an overall accuracy rate close to 90%. The study was published in the Chinese peer-reviewed journal "Journal of Intelligence," and the corresponding author, Dr. Sun Jingchao (specializing in criminal investigation and cybersecurity), noted that the research "provides an accurate, scalable, and interpretable solution for detecting illegal cryptocurrency transactions," and offers "an innovative technical path" for regulatory agencies to combat illegal cryptocurrency transactions and economic crimes.This AI framework utilizes memory modules and large language models, specifically targeting the anonymity and cross-border characteristics of cryptocurrencies to track illegal activities such as money laundering. The release of this research coincides with China's ongoing efforts to intensify the crackdown on financial crimes related to cryptocurrencies. In March of this year, the Supreme People's Procuratorate of China disclosed that by 2025, procuratorial authorities had prosecuted 3,259 individuals for money laundering crimes involving virtual currencies and underground banks.As the trading volume of cryptocurrencies rapidly increases, their anonymity and cross-border characteristics provide a channel for illegal fund flows. This police-developed AI detection tool marks a shift in regulatory technology from passive tracking to proactive intelligent identification.

first_img Large American companies are resuming hiring, and the expectation that AI will replace jobs is reversing

According to the Wall Street Journal, after nearly a year of freezing hiring, several large companies in the United States have begun to rehire, with railway giant CSX and Google's parent company Alphabet recently indicating plans to recruit to support growth targets or seize emerging technology opportunities. Over the past year and a half, large employers have generally reduced white-collar positions, partly due to economic uncertainty and partly based on the judgment that reducing staff can lead to faster growth and that AI can take on more work. However, some executives now state that the costs and limitations of AI actually require an increase in personnel.The report states that Booz Allen's Chief Operating Officer Kristine Martin Anderson indicated that the company needs to accelerate hiring, as it cut thousands of positions last year amid a contraction in federal contracts, with a total headcount of about 30,900 as of June 30, a year-on-year decrease of 7.5%. Sarah Franklin, CEO of the HR platform Lattice, stated that many companies had paused hiring for junior positions due to expectations that AI would take over jobs, but now realize that even with programming agents, they still need to hire engineers and are currently re-hiring a large number of junior positions. At the same time, layoffs in the U.S. have slowed, with initial jobless claims recently dropping to the lowest level since 1969.

hot_img Domestic immersion DUV lithography machines have started small batch production, with plans to deliver about 5 units this year

According to a report by The Information citing informed sources, a Shanghai state-owned company whose name has not been disclosed has begun producing domestically-made immersion DUV lithography machines, planning to manufacture about 5 units this year and increase to about 20 units by 2027. The first batch of equipment will be delivered to major foundries such as SMIC, Hua Hong Semiconductor, and ChangXin Technology, but the equipment still needs to undergo verification for accuracy, stability, and production line compatibility, a process that may take several months or even longer.Currently, most components of the equipment come from domestic sources, but some key parts still rely on Japan, and the performance and manufacturing quality lag behind ASML. In comparison, ASML is set to deliver about 131 immersion DUV lithography machines as early as 2025. Although domestic equipment has made the leap from prototype testing to small-scale production, there is still a significant gap before it can replace ASML on a large scale. Previously, Reuters reported that the U.S. is considering tightening restrictions on the export of lithography equipment to China and on maintenance services in China, and the delivery of domestic equipment coincides with this backdrop.
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