TechCrunch

Financial firms should leverage machine learning to make anomaly detection easier

Anomaly detection is one of the more difficult and underserved operational areas in the asset-servicing sector of financial institutions. Broadly speaking, a true anomaly is one that deviates from the ...

Zhoupu Data Obtains Machine Learning Anomaly Detection Patent, Empowering Intelligent Business Processes **AI Patent**

The patent obtained by Zhoupu Data focuses on utilizing machine learning technology for business process anomaly detection.
Statetechmagazine

State and Local Agencies Can Identify Cyberthreats Through Anomaly Detection

Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. By defining a set of normal user and ...
Nature

Anomaly Detection in Images Using Deep Learning Techniques

Anomaly detection in images is rapidly emerging as a critical field in both industrial quality control and medical diagnostics. Leveraging deep learning techniques, researchers have developed methods ...
India.com

Expert Data Scientist transforms financial tech with cutting-edge machine learning and anomaly detection Algorithms

When you think about it, financial technology, machine learning, and anomaly detection are proving indispensable in today’s time. Expert data scientists are transforming financial systems, adopting ...

AI SOC or traditional SOC: which is the winning formula to best power your cybersecurity strategy?

Organizations need to audit their existing SOC metrics and pilot AI SOC tools on alerts that need investigation.

AI model automates detection of developmental abnormalities in zebrafish embryos

CISPA researcher Sarath Sivaprasad, together with Hui-Po Wang and Mario Fritz from CISPA and other colleagues from HIPS, has ...