Article 21NX5 Using Machine Learning to Avoid the Unwanted

Using Machine Learning to Avoid the Unwanted

by
Rich Brueckner
from High-Performance Computing News Analysis | insideHPC on (#21NX5)
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In this video from the Intel HPC Developer Conference, Justin Gottschlich, PhD from Intel describes how the company doubling down on Anomaly Detection using Machine Learning and Intel technologies. "In this talk, we present future research directions at Intel Labs using deep learning for anomaly detection and management. We discuss the required machine learning characteristics for such systems, ranging from zero positive learning, automatic feature extraction, and real-time reinforcement learning. We also discuss the general applicability of such anomaly detection systems across multiple domains such as data centers, autonomous vehicles, and high performance computing."

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