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Uncle June and Nas (2002) 📸 Jonathan Mannion
🔥🔥 // The tinyML Foundation Undergoes an Evolution: Meet the EDGE AI FOUNDATION - @Hacksterio @TinymlF hackster.io/news/the-tinym…
hackster.io
The tinyML Foundation Undergoes an Evolution: Meet the EDGE AI FOUNDATION
Expanded vision, new goals, and additional members go hand-in-hand with a new, broader name for the tinyML Foundation as-was.
The tinyML Foundation has evolved into the EDGE AI FOUNDATION, taking the next leap to support innovation and collaboration in AI at the edge. As a proud contributor and sponsor, Arduino is thrilled to witness the growth of this unique ecosystem. linkedin.com/pulse/from-tin…
The Edge AI Technology Report: Generative AI Edition has been published. The new report, drawing from discussions with industry leaders and technologists, explores how generative AI is being harnessed and integrated into edge environments and what this means for the future of…
Busy, cold night at Stonehenge as we move the stones backwards an hour...
yikes. 😬
A very famous VC once told me: "I've been doing this for 25+yrs and let me tell you: I know little about tech. But I do know people. And I know the best founders are usually people so broken, often from childhood, with a chip on their shoulder so huge, it just won't go away."
Join our webinar on October 23rd as @NordicTweets digs into how Smart Ag applies technologies and solutions to more efficient methods of growing and distributing food, optimizing yields, and minimizing the resources needed to feed our population. // 🌾 events.hackster.io/impactspotligh…
New project: Edge Impulse's AI platform powers a low-cost, automated pick-and-place system, using an @Arduino Braccio ++ robotic arm, @Luxonis OAK-D depth camera, and @Raspberry_Pi 5. Read the post here: edgeimpulse.com/blog/building-…
edgeimpulse.com
Your First Robot Arm: Building a Smart Pick-and-Place System with Edge Impulse
One engineer built a low-cost pick-and-place system leveraging a Raspberry Pi and Arduino Braccio ++ robotic arm alongside an Edge Impulse-trained YOLOv5 model for efficient on-device object detect...
Meet our new ROI Calculator — live now! Assess the cost of going DIY vs using Edge Impulse for your edge AI solutions. Learn more about the calculator in our announcement post: edgeimpulse.com/blog/introduci… Jump straight into the calculator here: edgeimpulse.com/roi-calculator
#EdgeAI 🤖 Check out this exciting tutorial by Sachin Soni from @IMtechiesms! how to build a voice-controlled LED using our XIAO ESP32S3 Sense board and @EdgeImpulse. 🔊 Capture audio, train a model, and control an LED with voice commands like "Yes" & "No." Watch the full video…
We're at @embedded_world North America with @EdgeImpulse, showcasing NVIDIA TAO models deployed on our Ensemble microcontrollers. Stop by and say hello! 👋
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
@mjrovai 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 @EdgeImpulse Python SDK.…
Announcing FOMO-AD! Elevate your visual inspection tasks with our powerful new anomaly detection capabilities. hubs.ly/Q02tK2Z50
Our CEO @zach_shelby is joining up with @Arm for a panel discussion "Ensuring a Thriving Ecosystem for Edge AI" during @iotstars at @embedded_world. Takes place from 6:00 pm–10:00pm at Nuremberg's ZOLLHOF Tech Incubator. Tickets here: hubs.ly/Q02sbbsp0 #edgeai #ew24
Edge Impulse Deploys its State-of-the-Art Edge AI Models to Arm Microcontrollers Tools buff.ly/43xI6dm
The integration of NVIDIA TAO into Edge Impulse means that engineers can finally utilize NVIDIA’s industry-leading AI models on hardware outside of that offered by NVIDIA. Take a deeper dive and access available technical documentation here: hubs.ly/Q02pZDwm0 #ai #edgeai
New AI use cases are coming to the edge. The @EdgeImpulse & @NVIDIA TAO toolkit makes it possible to deploy computer vision models on Arm Cortex-M & A CPUs & Arm Ethos-U NPUs. That means more Arm-based devices with best-in-class AI & ML models. #GTC24 okt.to/5QCgyW
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