What's New This Month: July 2025 Edition

What's New This Month: July 2025 Edition

This month, we’re all about empowering you to turn cutting-edge ideas into real-world solutions. Whether you’re scaling industrial automation, mastering embedded machine learning, or looking to level up your edge AI skills, we have the resources to help you make it happen. Let’s dive in.


[Blog] Model Cascading with VLMs: Driving the Future of Edge AI

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If you’ve seen us at any trade shows in the first half of 2025 you may have noticed some toy cars on our booth. They're part of our exciting demo that gives a glimpse into the future of AI at the edge, using model cascading. Our demo automatically detects when a car comes into view of its camera, then triggers an onboard Vision Language Model (VLM) to gather a detailed description of the car. Lots of exciting potential for this new approach.

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[Webinar] The Engineer’s Guide to Implementing Practical ML (with Arduino, Edge Impulse and DigiKey)

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Wednesday, August 20th, 2025 at 11:00 AM EDT

Get ready to roll up your sleeves and learn how real engineers are getting ML into their designs. No fluff, just a hands-on intro to edge AI for embedded engineers, using Arduino hardware and Edge Impulse.

If you’ve been putting off integrating ML into projects or you're unsure where to start, this is your entry point.

What you'll learn:

  • How to build and deploy ML models on Arduino boards
  • When to use ML vs traditional logic in embedded systems
  • What real use cases look like (from prototypes to products)
  • Common pitfalls and how to avoid them
  • Why Edge AI is winning over cloud-based alternatives

👉 Register Now


[Webinar] Data Quality and Pre-Processing for Edge AI Success

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Wednesday, August 27th, 2025 at 9:00 AM PDT

Data is the bedrock of any successful machine learning project — and bad data can’t be fixed with better models. In this webinar, Edge Impulse’s Teague Gudemann will offer a practical walk-through on building high-quality datasets that deliver real-world results. Whether you're just starting out or scaling to production, you'll learn actionable tips to improve your data pipeline, labeling workflow, and model performance.

👉 Register Now


[Webinar Replay] Accelerating Industrial Automation with Arduino and Edge Impulse

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Did you miss this webinar that shows you how manufacturers in the automotive industry are modernizing operations with embedded intelligence, while reducing time to deployment using edge AI?

Learn how industrial solutions are designed, deployed, and scaled for faster time to market, and much more.

👉 Watch the Replay


Your Ultimate Guide to Edge AI–Watch the Video and Get Inspired

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Curious about what's possible at the intelligent edge? Watch the short video to see how edge AI is transforming industries, then dive into The Ultimate Guide to Edge AI: Your Playbook for Edge AI Business Transformation for practical insights, real-world examples, and expert strategies to accelerate your deployment.

👉 Explore the Guide


Developer Corner

🧠 Introducing Our New AI-Labeling Block with Gemini for Zero-Shot Labeling

This integration enhances our ability to detect objects within images and automatically add bounding boxes, making the labeling process faster and more efficient. [Blog]

🔧 New Integration: Fully Labeled Synthetic Data for Manufacturing from Vision Datasets

Generate high-quality, fully labeled synthetic images that simulate defects in manufactured products — perfect for training computer vision models without the need for real-world data collection or manual labeling. [Blog]

🚀 Empowering Embedded AI with Edge Impulse and the Nordic Semiconductor nRF54L15 DK

This powerful new development kit and our integrated AI platform brings an exciting new opportunity for developers to rapidly build and deploy intelligent applications to the edge. [Blog]

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Nordic nRF54L15 DK

Upcoming Events


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📬 If you haven’t yet, join our mailing list to stay updated on everything happening at Edge Impulse and in the world of edge AI!

📝 Also, be sure to check out our blog for expert insights on embedded machine learning.

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