In 2026, financial institutions are rapidly deploying AI to replace outdated rule-based systems, unify fraud and AML operations, and meet stricter regulatory demands for proven effectiveness. With ...

Researchers at the University of Oregon have developed an artificial intelligence tool that can read genetic code the way ...

As sanctions lists evolve, UK firms face a tale of two realities: those utilising integrated AI data and those struggling ...

Change a single number in a math problem, and a human who understands the underlying logic will still get the right answer.

Abstract: Detecting advanced persistent threats (APTs) at a host via data provenance has emerged as a valuable yet challenging task. Compared with attack rule matching, machine learning approaches ...

Abstract: The increasing complexity in the process of IC design and verification has made the rule-based methods widely used by layout parasitic extraction (LPE) tools meet more and more challenges in ...

E-commerce businesses face an increasing risk of fraud, costing companies billions annually and impacting customer trust. Fraud prevention in online stores is now essential for safeguarding both the ...