AIML1: A Case Study in Machine Learning: Detecting Security Vulnerabilities in an Embedded Application in Real Time
(Room Room 230A)
26 Jun 19
10:00 AM
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10:50 AM
Rob Oshana, NXP // This session walks through the steps required to build a machine learning system for an embedded application. We discuss each step, the technologies available, how to choose the best technology and integrate an embedded application to support machine learning. A case study is shown to demonstrate each step of the process, culminating in a real time embedded system machine learning application.