One key part of Microsoft’s big bet on machine learning is that these technologies need to be democratized, turned into relatively simple-to-understand building blocks that Microsoft’s developer ...

We're thrilled to announce the return of GamesBeat Next, hosted in San Francisco this October, where we will explore the theme of "Playing the Edge." Apply to speak here and learn more about ...

With the vast amount of data produced by IoT devices and systems, it cannot be avoided that some of this data can get lost. In order to resolve this issue, IBM is pleased to introduce an IoT solution ...

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 ...

When a person drives, there are many things that are quickly noticed and then ignored. What gains attention are those things that might be a danger. A pedestrian who might walk out into the road, a ...

Explore strategies for managing combinatorial explosion in high dimensional anomaly detection to enhance data observability ...

Within the finance industry, detecting rare events — or anomalies — in data is key to solving business problems that can have high monetary costs such as financial crimes detection and risk modeling.

Recent findings suggest that with more research, anomaly detection may be an option for general retinal disease screening and identification of novel presentations of common retinal diseases. Anomaly ...

Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...

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 ...