Beyond Machine Learning with NXP's i.MX 8M Plus Applications Processor
online, on-demand

The i.MX 8M Plus is a high-end Applications Processor with integrated Machine Learning capabilities, opening new opportunities for industrial automation, smart home, retail, medical, and video surveillance applications. The i.MX 8M Plus will be publicly launched on Embedded World 2021.
Prior to this event, NXP Semiconductors and Avnet Silica are happy to invite you on a webinar to give you insights on use cases and solutions with the i.MX 8M Plus device and with SoMs (System-on-Modules) from Avnet Integrated and Engicam.
The webinar consists of two parts: a general presentation in local language and additional in-depth topics. The event is intended for both decision makers, engineers and to anyone curious to get more details about the new i.MX 8M Plus Family of microprocessors.
Available in multiple languages: English, French, German and Italian.
Agenda
- 10:00 CET - Part 1 (for both decision makers and engineering, in local language):
- General presentation unveiling the i.MX 8M Plus with a focus on device capabilities, use cases, and solutions, making use of both a system-on-board and system-on-module approach
- 11:00 CET - Part 2:
- In-depth sessions to be selected based on your personal interest after the general presentation (20min. each), including:
- Building your application from scratch on i.MX 8M Plus devices and SoMs
- Short time development with production ready board solution for industrial applications
- Deep Learning for Computer Vision: implementing complex non-standard Machine Learning tasks for smart industry, retail, medical and other markets
- Reliable and secure edge storage for video surveillance applications
- i.MX 8M Plus in Industry 4.0: implement real-time connectivity through TSN (Time Sensitive Networking)
- Starting with eIQ machine learning software framework on NXP Semiconductors Processor
- In-depth sessions to be selected based on your personal interest after the general presentation (20min. each), including:
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