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.