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Build Smarter, Faster Edge AI with STM32N6’s Neural-ART Accelerator
Learn how STMicro’s powerful new microcontroller works with Edge Impulse and the ST ecosystem of tools
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Are you ready to transform your edge AI applications with groundbreaking neural processing power?
Join us for a webinar to explore the STM32N6, STMicroelectronic’s revolutionary MCU — with a game changing NPU that delivers unprecedented processing power at ultra-low energy consumption. Whether you’re building computer vision applications or processing audio at the edge, this webinar will show you how to harness this powerful new MCU using Edge Impulse.
What You’ll Learn:
- Intro and how to get started with the STM32N6 and its devkit
- How to flash and run demo software from Edge Impulse
- How to collect data from the STM32N6DK and develop machine learning models
- Overview of Edge Impulse features for ML development
Date: 26 March, 2025
Time: 8:00am PT/11:00am ET
Location: Virtual
This webinar is for embedded developers and ML engineers working on industrial and consumer applications that require efficient neural network inference.
Our Presence:
Speakers:
Joshua Buck
Joshua Buck is an embedded developer with experience in test & measurement, HiL/SiL for automotive, and industrial IoT applications. He has previously worked at National Instruments in applications engineering, analog ASIC V&V, and project management. After National Instruments, he moved into test engineering and embedded development at American Innovations. He is currently a Senior Solutions Engineering Manager at Edge Impulse specializing in AI/ML applications for edge and embedded devices.
Nicolas Gaude
Nicolas Gaude is a Product Marketing Manager in STMicroelectronics' Artificial Intelligence Solutions team, responsible for the ecosystem and tools aimed at democratizing AI on microcontrollers (MCUs). A tech and AI enthusiast, Nicolas has dedicated several years to enabling real-world business cases where AI proves to be a game changer. The journey to edge AI has just begun, and he works tirelessly to make AI usage on STM32 microcontrollers seamless and accessible, leveraging STMicroelectronics' AI solutions and ecosystem.
Speakers sessions:
Join us on 25 April at 12:20-12:35 at the Embedded Park and Speakers Center for a presentation from Jim Bruges, Edge Impulse solutions engineer.
Jim Bruges is a seasoned Solutions Engineer at Edge Impulse, a company leading the charge in Edge AI innovation. Working with customers across industries including healthcare, industrial IOT, wearables and more, Jim has seen how Edge AI can be brought into today's products to provide valuable insights and meaning to the data these devices produce. By applying his previous experience in a wide range of engineering disciplines, including 4 years at Dyson, he advises clients about AI at the Edge and is an expert in Edge use-cases.
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Jenny Plunkett is a software engineer, technical speaker and content creator, working as a Senior Developer Relations Engineer at Edge Impulse. Since graduating from The University of Texas she has been working in the IoT space, from customer engineering and developer support for Arm Mbed to consulting engineering for Pelion IoT. Jenny is co-author of the O’Reilly book "AI at the Edge: Solving Real World Problems with Embedded Machine Learning".
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Jenny Plunkett is a software engineer, technical speaker and content creator, working as a Senior Developer Relations Engineer at Edge Impulse. Since graduating from The University of Texas she has been working in the IoT space, from customer engineering and developer support for Arm Mbed to consulting engineering for Pelion IoT. Jenny is co-author of the O’Reilly book "AI at the Edge: Solving Real World Problems with Embedded Machine Learning".
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Jenny Plunkett is a software engineer, technical speaker and content creator, working as a Senior Developer Relations Engineer at Edge Impulse. Since graduating from The University of Texas she has been working in the IoT space, from customer engineering and developer support for Arm Mbed to consulting engineering for Pelion IoT. Jenny is co-author of the O’Reilly book "AI at the Edge: Solving Real World Problems with Embedded Machine Learning".
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