This article explores how the NVIDIA TAO toolkit, along with Edge Impulse, facilitates the development and deployment of AI models on edge devices, illustrating the tangible benefits and real-world applications of this integration.

Link: wevolver.com/article/accele…

The Renesas Electronics RA8D1 is the first microcontroller based on Arm Cortex-M85 cores to reach the market. The RA8D1 supports our new optimized @NVIDIA TAO models as well, to get started with enterprise-grade ML quickly and easily. Learn more, here:
edgeimpulse.com/blog/renesas-r…

Need a break from big #LLM ? 🤖 Check out this blog post by my students on the rise of #TinyML . Good food for thought if you are a student or a researcher looking to make a BIG impact with tiny ML models.

#MachineLearning #ArtificialIntelligence #IoT

sigarch.org/tiny-machine-l…

Don't miss this! Register now to watch.

Next week, May 15th, our very own Sergi Mansilla will be a keynote speaker at Linaro Connect in Madrid — a conference dedicated to the future of Arm's open-source software and ecosystem: kitefor.events/events/linaro-…

#LinaroConnect24

.Edge Impulse support has expanded beyond the Photon 2 to the B-Series and Boron, enabling you to develop and deploy edge ML applications on more Particle devices. edgeimpulse.com/blog/particle-…

This automated counting device offers the best of both worlds — speed AND high-resolution sensing — by using Edge Impulse's highly-optimized object detection algorithm and the @NVIDIA Jetson Nano platform for accurate counting of tiny, close objects:

edgeimpulse.com/blog/counting-…

In our latest Arm Tech Talk, we explored a computer vision use case for industrial asset tracking, focusing on pallet counting with NVIDIA Omniverse and NVIDIA AI TAO to deploy industrial-grade AI models onto Arm-based devices. Check it out!

youtube.com/watch?v=XHqhKF…

We're thrilled to announce that we've expanded our Particle board support — Boron and the B-series is now accessible inside Edge Impulse. Let us know what you will be making with it!

edgeimpulse.com/blog/particle-…

Save these dates! Edge Impulse will be at the IOT Solutions World Congress in Barcelona, May 21-23, 2024. In conjunction with The Things Industries, we will be showcasing our latest innovations at Stand 70. Be sure to stop by and meet the team, and we look forward to seeing you there! #IOTSWC24

Jump into our newest tutorial and get running with image classification on the BrainChip Akida platform using Edge Impulse: events.edgeimpulse.com/brainchip-akid…

Live now!

This IoT Vehicle Counter from Bob Hammel makes use of Edge Impulse, an OpenMV, and a Microchip Makes AVR IoT Mini Cellular Board - and it recently won first place in Hackster.io's 'The Future of Resilience Contest' with Microchip!

hackster.io/rhammell/predi…

This paper from Carnegie Mellon University investigates the ways in which a person’s walking pattern (gait) can be used for non-intrusive identification, with the help of machine learning and an @Arduino Nano 33 BLE Sense.

arxiv.org/pdf/2404.15312

#EdgeAI #MachineLearning

Did you miss our big announcement last week? We've added visual anomaly detection to Edge Impulse, and made it simple yet powerful to use.

Watch this overview from our CTO/co-founder Jan Jongboom and get more details here: edgeimpulse.com/blog/announcin…

Join Edge Impulse and @NVIDIA for an exciting webinar on how to utilize synthetic data from NVIDIA Omniverse to augment your ML models in Edge Impulse for better performance and faster time to market.
May 14, 2024, 8am PT/11am ET/3pm UTC

Register here: edgeimpulse.com/events/synthet…

Get certified with our new course, 'Introduction to Edge AI.' This free 10-part series will help you become familiar with edge computing and #MachineLearning , taught by Shawn Hymel - @[email protected]. We’re excited to see what you will build!

Start here 👉 edge-impulse.gitbook.io/docs/concepts/…

Hanging icicles can pose significant dangers and practical challenges for property owners. One engineer used Edge Impulse, the @Arduino Portenta H7, and synthetic data from @NVIDIA Omniverse to build an AI warning system for when icicles start to form: edgeimpulse.com/blog/cracking-…

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.…