Enabling Industry 4.0 with NXP’s MCU-based Machine Learning Solution for Power-c

Logo
Presented by

Kobus Marneweck, Senior Product Manager, Embedded, Arm & Markus Levy, Director of Enabling Technologies, NXP

About this talk

Join us for this session to learn how to make the most of NXP’s latest Arm Cortex-M33 based MCU for your power-conscious machine learning application. During this webinar we’ll demonstrate real-time data analytics at the node, reducing latency and eliminating the need for cloud communication, showing the 15 percent plus improvement over competition provided by LPC5500 MCUs. Performance benchmark demonstration uses industry standard CIFAR-10 models with Arm CMSIS-NN (Neural Network) library. Join this webinar with Arm and Xilinx to learn: •How to make the most of NXP’s latest Arm Cortex-M33 based MCU for machine learning applications •How to implement real-time data analytics at the node, reducing latency and eliminating the need for cloud communication •How to use industry standard CIFAR-10 models with Arm CMSIS-NN (Neural Network) library This webinar is part of technical webinar series exploring the key highlights of the LPC5500 series range, the advantages that the Armv8-M architecture brings and key tips for software development.

Related topics:

More from this channel

Upcoming talks (4)
On-demand talks (85)
Subscribers (15109)
From providing the IP for the chip to delivering the cloud services that allow organizations to securely manage the deployment of products throughout their lifecycle, Arm delivers a complete Internet of Things (IoT) solution for our partners and customers. It’s rooted in our deep understanding of the future of compute and security.