In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

Prashant has spent years at the intersection of high-throughput financial systems and artificial intelligence. His journey ...

Researchers at Tongji University and the Shanghai AI Lab show that graph-based neural networks can uncover hidden money-laundering rings and ...

In an increasingly digitized world, anonymity, encryption, and global connectivity have emboldened cybercriminals, made locating missing persons harder, and allowed debtors to obscure their tracks.

Digital finance is accelerating, and threats are evolving in complexity, outpacing traditional methods for detecting fraud.

Key Takeaways Graph analytics reveals how data points connect, not just what they are, and is accessible without specialist skills or infrastructure. Zero-ETL means faster insight without moving ...

"Novel machine learning model can predict material failure before it happens." ScienceDaily. ScienceDaily, 16 April 2025. <www.sciencedaily.com / releases / 2025 / 04 / 250416135453.htm>.

In this study, we asked whether we could decode the immune system's record of these disease encounters by interpreting this highly variable information with some new machine learning techniques.

In a large hospital system, a network of hospitals relies on electronic health records (EHRs) to make informed decisions regarding their patients in various clinical domains. Consequently, the ...