• Incredibly small total footprint solution 
• Recognizing similar complex hand movements 
• Reproducible on your device

We will demonstrate two live demos that perfectly illustrate the uniqueness of our approach: Keyword Spotting –> 40 Kb in total footprint and Human activities recognition –> 3 Kb in total footprint.

Meet the long-awaited IEEE newsletter issue with the release of the second part of A Practical Guide with 3 full-cycle use cases illustrating the innovative Automated Design of Tiny Machine Learning Models.

Can AI save lives? Definitely yes! Learn how to implement sensor fusion and tiny machine learning to detect smoke and get notified in a timely way if a fire starts.

Neuton.AI, represented by our embedded engineer, Sumit Kumar, will participate in the new Arm’s AI Tech Talk on September 20th, at 8:00 AM PT. You don't want to miss this!

Is it possible to create a faster and more accurate magic wand than the original one? Thanks to the new technology, you can build a similar solution automatically, and with more impressive results!