Sensors and AI Edge Solutions on Microcontrollers for Predictive Maintenance Applications
Join Cartesiam, Analog Devices, and Arrow at the next condition-based monitoring seminar. Attendees will learn how to embed machine learning capabilities into microcontrollers and will also receive hands-on guidance in creating a development card with embedded Artificial Intelligence (AI)— previous AI skills not required. Discover how easy it is to reduce time and cost with innovative solutions for all software engineers.
| Agenda | ||
|---|---|---|
| 08:30 | Welcome and Coffee | |
| 09:00 | Workshop |
|
| - Introduction - AI and MEMs - Convergence of Technologies for Predictive Maintenance |
Presented by Arrow |
|
| - New Sensors Generation – Analog Devices MEMs Overview |
Presented by ADI |
|
| - AI for Everybody - New Value and Easy Implementation for IoT and Equipment |
Presented by Cartesiam |
|
| 10:45 | Coffee Break - 15 min | |
| 11:00 | Use-case Create your own smart device in a couple of minutes with NanoEdge AI Studio by Cartesiam. On Analog devices kit (EV-COG-AD4050LZ). |
|
| 12:00 | Lunch Time Networking – Meet and discuss ideas with your local interfaces and experts from Arrow, Analog Devices, and Cartesiam team. |
New dates coming soon
Upcoming Events
Analog Devices' webinar: Edge to Cloud, Connect & Control with Remote IO modules
This Analog Devices webinar will explain how such modules can be leveraged in the automation system and implemented today to provide more flexibility, edge node insights and connectivity to fit into an edge-to-cloud based AI-driven system.
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