Building ultra-tiny ML models for any wireless SoC with Neuton

The tiny-ML experts in Neuton have developed a unique neural network framework, not based on any existing technologies such as TensorFlow, PyTorch or similar, to create ultra-tiny ML models. This framework allows building models 10x smaller than competing frameworks, down to as small as single-digit kilobytes, with great generalizing capabilities. This gives the models the same or better accuracy and faster inferencing than these competing frameworks, resulting in lower power consumption. As of 2025, Neuton is now a part of Nordic Semiconductor.

In this webinar, Danil Zherebtsov from the Neuton team will lead you through the workflows of creating ultra-lightweight and ultra-fast Neuton models to enable Edge AI capabilities on any SoC. Learn how to collect data to prepare a dataset and build a highly optimized Neuton model that can run on everything from the flagship nRF54L15 SoC to the most constrained devices in the Nordic lineup, like the nRF52805 SoC. After the hands-on tutorial, you will be able to ask questions directly to the team behind developing the technology that made it possible in a live Q&A session.

Agenda:

• Intro and hardware overview
• Demo: gesture remote control
• Collecting and preparing a dataset
• Building AI models with Neuton’s online tool
• Embedding models into an nRF Connect SDK application
• Q&A with the Neuton developer team
  
  

Date: June 25, 2025

Time:  9 AM CEST / 4 PM CST ASIA & 6 PM CEST / 9 AM PDT / 12 PM EDT

Duration: 50 min + 10 min Q&A

Read more about the Neuton framework in this DevZone blog, and sign up for this webinar.