In this new project, learn how to monitor machine health and build a predictive maintenance solution that can detect abnormal patterns, using a BrainChip Akida Enablement Platform.

docs.edgeimpulse.com/experts/predic…

#EdgeAI #MachineHealth

One day to go! Join in on April 30 for the latest Arm Tech Talk, featuring @NVIDIA and Edge Impulse covering the end to end process of generating synthetic data, building new ML models, and deploying onto edge devices.

4pm BST/8am PT

Register now: events.arm.com/edgeimpulsenvi…

Marcelo Jose Rovai used 14 years of historical weather data to train a model to predict its future #temperature . The trained LSTM (Long Short-Term Memory) model was converted with TensorFlow Lite to be deployed to #SeeedXIAO ESP32S3 using the Edge Impulse
Python SDK.…

Join our webinar “Synthetic Data for the Edge: Speed Up ML Development with @NVIDIA Omniverse and Edge Impulse” and learn how to use synthetic data to get to market faster and increase ML model performance.
May 14th, 8am PT/11am ET.
Register here: hubs.ly/Q02tmK130

Join us starting May 6 for our new tutorial, featuring image classification on the BrainChip Akida. Register here: events.edgeimpulse.com/brainchip-akid…

Join us in this conversation with Arm and Edge Impulse to explore the complete workflow of generating synthetic data, building ML models, and deploying them onto edge devices using #NVIDIATAO and Omniverse.

'Hello World, I am ARM'

39 years ago today, the first Arm microprocessor introduced itself. We've since enabled advanced, efficient computing in 280+ billion chips, with the patents to prove it.

These foundations make us the AI platform the world relies on, today & in the…

Today's talk at HANNOVER MESSE on the New Era of Industrial Intelligence from our solutions engineer, Jim Bruges, was a great success!

The crowd heard about our new features including FOMO-AD, data synthesis with NVIDIA Omniverse and our TAO model library integration. #HM24

Taking low-power wireless to next level by adding #EdgeAI to allow for more powerful data processing at the edge, bringing significant benefits to your applications. We got our own platform for creating #embeddedML models to run on Nordic HW, ML Studio was developed with…

Interested in learning more about how Edge Impulse optimizes and expedites the development and deployment of edge machine learning applications for @NVIDIA hardware? Watch my talk from NVIDIA #GTC24 here: 💚 nvidia.com/en-us/on-deman…

This paper's authors, Nikhil Ghanathe and Steve Wilton, propose QUTE, a novel architecture designed to address the memory and compute overhead challenges in uncertainty quantification for ultra-low-power tinyML devices by leveraging early-exit networks: arxiv.org/pdf/2404.12599…

Join us on April 30th for the latest Arm tech talk, featuring @NVIDIA and Edge Impulse. This session will show the paved path to use Edge Impulse along with NVIDIA Omniverse and TAO to deploy industrial-grade AI models onto Arm-based devices. hubs.ly/Q02tV1b50

Day 2 of HANNOVER MESSE has been even better than the first! The booth has been busy with customers keen to explore our enterprise platform and the new NVIDIA integrations for Omniverse and TAO. #HM24

Nvidia Jetson Orin devices combined with Edge Impulse machine learning models offer powerful, GPU-accelerated Edge AI capabilities in small, efficient form-factors. Check out our latest collaborative article with Wevolver to learn more.

#Nvidia #EdgeAI NVIDIA Robotics NVIDIA AI

FOMO-AD lets you build visual anomaly detection AI models that only need “normal-state” data to enable real-time, on-device insights without the need for manual training on anomalies.

And it is accessible on any edge device, from powerful GPUs to battery-powered MCUs.

.Edge Impulse's FOMO-AD is an efficient anomaly detection model that can run on low-power microcontrollers for real-time visual inspections. hackster.io/news/something…

Edge Impulse is thrilled to be at tinyML Foundation Summit all week. Drop us a quick note to connect in-person at the event: hubs.ly/Q02tHN400

Be sure to check out Jenny Plunkett moderating “Advancements in enablement and ecosystems for TinyML' tomorrow, April 23 at 4:30 pm PT!

The first day of HANNOVER MESSE was a great success! Our team had many interesting conversations with industrial companies looking to add real insights into their systems. We invite you to stop by tomorrow to learn more and grab a cold beer at Hall 15, Stand C01.🍻 #HM24

Edge Impulse is at the tinyML Foundation Summit 2024 this week! Come see me and my session moderation tomorrow in San Francisco at the Hyatt Regency SFO Airport hotel today thru Wednesday!