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Wednesday, June 26 • 10:00am - 10:50am
AIML1: A Case Study in Machine Learning: Detecting Security Vulnerabilities in an Embedded Application in Real Time

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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.

Speakers
avatar for Markus Levy

Markus Levy

Director of AI and Machine Learning Technologies, NXP Semiconductors
Markus Levy joined NXP in 2017 as the Director of AI and Machine Learning Technologies. In this position, he is primarily focused on the strategy and marketing of AI and machine learning capabilities for NXP's microcontroller and i.MX product lines. Previously, Markus was chairman... Read More →


Wednesday June 26, 2019 10:00am - 10:50am
Room 230A