Embedded Insiders Podcast ??AI versus machine learning
September 05, 2017
AI and machine learning are hot, but what exactly are they? How are they the same? How are they different? And where does each apply? The Embedded Insiders explore this week, and ask for your take.
Artificial Intelligence (AI) and machine learning technology are abuzz right now in the embedded computing industry. With advances in processor technology and deep learning frameworks, the two offer a paradigm shift for Industrial IoT systems looking to bring intelligence closer to the edge.
But what exactly are AI and machine learning? How are they the same? How are they different? Where does each apply? And what is your take?
These are questions the Embedded Insiders tackle this week, in a special video episode.
Topics include:
- Artificial Intelligence
- Machine Learning
- Industrial IoT
- Embedded Systems
Rich Nass is a regular contributor to Embedded Computing Design. He has appeared on more than 500 episodes of the popular Embedded Executive podcast series, and is a regular contributor to the Embedded Insiders podcast.
Rich has been in the engineering OEM industry for more than 35 years, and is a recognized expert in the areas of embedded computing, Edge AI, industrial computing, the IoT, and cyber-resiliency and safety and security issues. He writes and speaks regularly on these topics and more.
Rich is currently the Liaison to Industry for the Embedded World North America Exhibition and Conference, and has held similar positions with the global Embedded World Conference and Exhibition.
Previously, Rich was the Brand Director for UBM’s award-winning Design News property. Prior to that, he led the content team for UBM Canon’s Medical Devices Group, as well all custom properties and events. In prior stints, he led the Content Team at EE Times, handling the Embedded and Custom groups and the TechOnline DesignLine network of design engineering web sites.
Nass holds a BSEE degree from the New Jersey Institute of Technology.
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