Reality AI is one of the leading product development environments for TinyML on Arm MCUs. Tools that generate TinyML models without code have become commonplace, but there is so much more you can do.

We'll show you how to use AI to drive sensor selection and placement and determine minimum component specifications. We will also look at how to minimize the cost of data collection, and also how to generate sophisticated, explainable models based on sensor data for Arm architectures - automatically. We will use case studies to explore the difference between doing projects and building products, showing examples from Reality AI Tools 4.0.

• How to generate sophisticated TinyML models automatically
• How to use AI to optimize sensor selection and placement
• How to use AI to set minimum component specifications
• How to minimize the cost of data collection

Speakers:

Stuart Feffer - CEO & Co-Founder, Reality AI

Matt Bishop - Marketing Lead, Reality AI