New system tracks blockchain money laundering faster and more accurately
Business Announcement
Updates every hour. Last Updated: 10-Jun-2026 07:16 ET (10-Jun-2026 11:16 GMT/UTC)
An advanced detection system to identify and trace blockchain funds connected with criminal activity has been presented today at the Annual CyberASAP Demo Day in London. The system, called SynapTrack, enables faster and more accurate detection of fraudulent activity using blockchains and cryptocurrencies, where traditional anti-money laundering and counter-terrorist financing systems struggle to keep pace.
Researchers in Japan developed a high-efficiency iron-based photocatalyst as a cheaper alternative to rare metals like ruthenium and iridium. This catalyst works with blue LED light, significantly reduces the use of chiral ligands, and enables the first synthesis of both enantiomers of heitziamide A, a natural medicine compound that suppresses respiratory bursts.
Liquid crystal monomers (LCMs) are critical components of laptop, television and smartphone screens. Given their ubiquity in the environment, these compounds are considered persistent pollutants, posing threats to marine life that scientists want to understand. Research published in ACS’ Environmental Science & Technology provides initial evidence that LCMs from household electronics or electronic waste (e-waste) can accumulate in dolphin and porpoise tissues, including blubber, muscle, and brain, demonstrating their ability to cross the blood-brain barrier.
Enzymatic biofuel cells can act as self-powered wearable biosensors by converting chemicals in body fluids into electricity; however, manufacturing challenges have prevented their widespread adoption. Now, researchers from Japan have developed water-based ‘enzyme inks’ that enable single-step screen printing of complete biofuel cells onto paper substrates. The printed electrodes demonstrated superior performance and stability compared to those made using conventional methods, paving the way for mass-produced, battery-free wearable health monitors.
Tiny RNA molecules carried by extracellular vesicles in the bloodstream can accurately predict kidney function decline and cardiovascular risk in chronic kidney disease (CKD), as reported by researchers from Science Tokyo. By analyzing blood samples from a large cohort, the team identified multiple microRNAs linked to disease progression and built a model to distinguish high-risk patients with CKD. Clinically applying this risk score model can contribute to improved patient outcomes.
Current 3D anomaly detection techniques often prove insufficient for noisy industrial scans. In a new study, researchers from Shibaura Institute of Technology, Japan, and FPT University, Vietnam, have developed Vote3D-AD as an innovative solution. The single-pass framework trains exclusively on defect-free data and utilizes the Varied Defect Synthesis pseudo-anomaly generator and a vote-and-cluster architecture to outperform state-of-the-art alternatives on various benchmarks. It is expected to further streamline inspection pipelines.