An outlier is an observation that lies an abnormal distance from other values in a random sample from a population,” advises the Engineering Statistics Handbook. One of the standard approaches is to ...

Sumo Logic, a leading secure and purpose-built cloud-based machine data analytics service, announced the availability of Outlier Detection and Predictive Analytics capabilities that augment its rich ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

With increasing focus on quality and reliability across all segments beyond just automotive, medical and mil-aero, it is more critical than ever for companies to leverage every byte of test data at ...

IC manufacturers are increasingly relying on intelligent data processing to prevent downtime, improve yields, and reduce scrap. They are integrating that with fault detection and classification (FDC) ...

The growing potential of artificial intelligence (AI) and machine learning (ML) in embedded systems is driving new application solutions and products, but developing AI-based systems can be ...

In my last few articles, I've looked at a number of ways machine learning can help make predictions. The basic idea is that you create a model using existing data and then ask that model to predict an ...