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 ...
Electronic Design

Explainable AI for Anomaly Detection

What is explainable AI (XAI)? What are some of the use cases for XAI? What are the technology requirements for implementing XAI? Anomaly detection is the process of identifying when something deviates ...

Global Anomaly Detection Market Poised for Strong Growth as AI-Driven Security Demands and Enterprise Automation Accelerate: Verified Market Research®

Rising cybersecurity threats, expanding digital footprints, and increasing reliance on AI-powered analytics are driving robust demand across the anomaly detection market, as enterprises prioritize ...
Nasdaq

Rigetti Computing Awarded Innovate UK Grant to Enhance Quantum Machine Learning Methods for Anti-Money Laundering Detection

Rigetti will be joined by HSBC, the Quantum Software Lab based at the University of Edinburgh, and the National Quantum Computing Centre to work to improve the performance of quantum algorithms for ...

Using Machine Learning Data to Achieve Sustainability, Performance and Governance Goals

In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment ...
Devdiscourse

How machine learning and IoT are building factories of future

Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new generation of intelligent industrial environments capable of real-time ...