Simplify Embedded ML to Drive Business Value with ST’s Cube.AI

Join us on March 21 at 1600 (CET) to discover how ST’s Cube.AI simplifies embedded ML processes. 

We will explore the robust possibilities of integrating ML seamlessly into your operations to unlock unprecedented business value and efficiency.

Embedded ML refers to integrating machine learning algorithms and capabilities into embedded systems, allowing devices to make intelligent decisions and learn from data without requiring continuous network connectivity. Come and learn how to simplify the integration of ML into embedded systems and drive unparalleled value for growth across industries using Cube.AI.

Cube.AI is a cutting-edge ML solution developed by STMicroelectronics. It converts pre-trained Machine Learning or Neural Network models into optimized C code for STM32 devices. With its user-friendly interface and powerful capabilities, it is designed to help developers tackle more complex AI tasks on embedded hardware. This tool is part of ST’s ecosystem, offering a seamless solution for integrating neural networks into STM32 designs.

Whether you're experienced in TensorFlow Lite, Keras, qKeras, or Pytorch, discover how STM32Cube.AI simplifies the process by converting pre-trained models into optimized code. In this webinar, we will explore

• How to leverage ML solutions to get the best outcomes for projects
• How to determine when and what to utilize from ST's Toolbox.
• Neural networks and quantisation: what is under the hood of complex ML decisions on the edge
• Case study: Cleaning detection model quantised via Cube.AI
• How EKTOS and ST are partnering for ML and embedded projects for a subset of applications

  If you have any questions, kindly email them to us in advance, and we'll address them during the dedicated Q&A session.  Secure your seat today.  Register Now!