Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

The research, completed in November 2024, analyzed 2,867 claims from 2020 to 2024 using an unsupervised machine learning approach. Nine percent of open claims were identified as high potential for ...

While generative AI has thrown gasoline on the fire of ad fraud, it also provides tools we need to fight back more ...

This is the first study to use unsupervised machine learning to analyze a comprehensive set of social determinants of health such as poverty, poor housing, lack of access to health care ...

This study presents a valuable advance for the analysis of gene expression variation at the level of individual cells by introducing a novel reference-free framework that can detect splicing, fusion, ...

Organizations often use tools like SIEM (Security Information and Event Management) and XDR (Extended Detection ... and cyber fraud fusion at Barclays, highlighted the need for the fraud kill chain by ...

CLASS DEFINITION: The lawsuit seeks to recover losses on behalf of Solaris Energy Infrastructure, Inc. investors who were adversely affected by alleged securities fraud between July 9, 2024 and ...

LOS ANGELES--(BUSINESS WIRE)--Glancy Prongay & Murray LLP (“GPM”), announces that it has filed a class action lawsuit in the United States District Court for the Western District of North ...

Bleichmar Fonti & Auld LLP is a leading international law firm representing plaintiffs in securities class actions and shareholder litigation. It was named among the Top 5 plaintiff law firms by ...

“The fraud is truly heartbreaking,” says Dave ... company is seeing “really positive impact” from using its machine learning systems to detect potential scam messages in real time.