tinyML: Building Product Intelligence and ML Models Faster for Ultra-Low Power Devices
With 250 billion microcontrollers in the world today and counting, tinyML is an effective technology for performing on-device data analytics for vision, audio, motion, and more. It gives small devices the ability to make smart decisions without sending data to the cloud. Arm and its partners are helping developers with resources that help them build and deploy their ML models faster and more efficiently that are small enough to fit into any environment.
tinyML is a fast-growing field of machine learning (ML) technologies and applications implemented by Arm, Qualcomm and other pioneers to enable ultra-low power ML at the edge. See how tinyML can help solve computer vision, audio recognition, speech recognition, and natural language processing challenges.
Talk Series
AI Virtual Tech Talk Series
Join our Tech Talk series on developing the latest AI technologies with experts from Arm and members of our AI Partner Program. Each session discusses the latest trends in AI development, including deployment, optimization, best practices, and new technologies shaping the industry.
Webinar
Automatically Build tinyML Solutions on Embedded Devices
Watch this Qeexo and Arm on-demand webinar to see how easy it is to automate tinyML development for sensor modules without having to write a single line of code.
Blog
Train a TinyML model to recognize sounds that use 23 kB of RAM
Read this blog post from Daniel Situnayake, founding tinyML engineer at Edge Impulse, to learn how to build an audio classifier with embedded machine learning.