ON-DEMAND
Webinar

Unlocking Edge AI: Advanced Features of Edge Impulse

Virtual
Booth
March 12, 2024
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March 12, 2024
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Date & Time
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March 12, 2024
-
March 12, 2024
Location
Virtual

Unlocking Edge AI: Advanced Features of Edge Impulse

Take your edge AI projects and solutions even further with our advanced features workshop. In this webinar, you will learn about the latest, most powerful capabilities of Edge Impulse such as enhanced model tuning and optimization, new deployment options, BYOM (bring your own model), visual anomaly detection, and more. Throughout this workshop, you’ll learn how to manage machine learning for the edge, including data pipelines, signal processing, ML training, model testing, and creating a deployable model that can run efficiently on any edge device, from MCU to MPU to GPU.

Join the workshop, “Unlocking Edge AI: Advanced Features of Edge Impulse”, and learn from Edge Impulse lead engineer Louis Moreau, connect with other developers, and get your questions answered.

Learn how to:

  • Handle complex data pipelines
  • Use the latest advanced features of Edge Impulse such as model tuning and optimization, visual anomaly detection, and new deployment options
  • Reduce RAM and ROM usage in ML models without sacrificing accuracy or increasing latency
  • Deploy ML models to any edge device, gateway, or Docker container

When:
On Demand

Our Presence:
Speaking Sessions:

Louis Moreau

Louis started his career developing a low-power and GPS-based IoT solution to protect rhinos in an African conservancy. He is now leading the Developer Relations team at Edge Impulse. When not hacking hardware or automating tasks, you can see him riding an electric skateboard in Lille, northern France, or scuba diving in tropical islands.

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.

How to Train an Object Detection Model for Visual Inspection with Synthetic Data

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".

GTC 2024: Jetson and Robotics Developer Day

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".

Swift Path to Edge AI: Revolutionizing Development Through Synthetic Data

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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