AI and Machine Learning on Arm

Next up on our schedule:

Date: January 11, 2022
Time: 8am PT / 4pm GMT / 11pm Shanghai
Will Levine, Senior Machine Learning Engineer @ Qeexo

Qeexo AutoML is an end-to-end framework for developing machine learning solutions for sensor-enabled embedded devices, covering all steps from data collection to deployment. Both Arm Cortex-M4F and Arm Cortex-M0+ are supported as target platforms. Though the M0+ platform lacks a floating-point unit and is typically limited in RAM, Qeexo’s highly-optimized featurization pipeline makes it a great choice for building full machine learning solutions with minimal power consumption and minimal hardware cost. The M4F platform is capable of heavier tasks, involving high-data-rate sensors and neural networks.

This talk will cover:

• A demonstration using the Qeexo AutoML platform to build an activity recognition solution for the M0+-powered Arduino Nano 33 IOT
• The technology that powers Qeexo’s machine learning for M0+ platforms
• A discussion of appropriate machine-learning applications for M0+ and M4F platforms
• Description of how these approaches can be extended to future Arm platforms through the Arm Virtual Hardware Platform

Secure your place today!