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 ...

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 ...
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 ...
Electronic Design

Explainable AI for Anomaly Detection

Explainable AI (XAI) can improve safety, security, and the overall user experience in IoT applications. What is explainable AI (XAI)? What are some of the use cases for XAI? What are the technology ...

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.
eWeek

5 Steps to Leveraging Machine Learning: The Shopify Use Case

Dr. Ella Hilal, head of data science at Shopify, showcased how the e-commerce giant applies machine learning for anomaly detection and forecasting. Written by eWEEK content and product recommendations ...