Edge Impulse

Tune in virtually to the EE Times | Electronic Engineering Times "AI Everywhere 2024" event on December 11 and 12, to catch our very own Alessandro Grande speaking about how to build, deploy, and scale edge AI products and solutions! 🚀 Registration is quick and easy, here: https://lnkd.in/gMuNjXbU Sally Ward-Foxton Nitin Dahad

Be sure to download the new Wevolver "Edge AI Technology Report: Generative AI Edition," examining how generative AI is being integrated into edge computing and exploring the implications for the future of technology. Includes details on how Edge Impulse is leveraging generative AI for more efficient workflows. Get it free here! https://lnkd.in/gUgEf4ky #ai #edgeAI

We're gearing up for AWS re:Invent, and if you're headed to Las Vegas to attend the show, be sure to come see our demo along with Amazon Web Services (AWS) and NVIDIA Robotics in the AWS IoT Kiosk inside AWS Village in the Expo Hall, December 2nd through 6th. We're showing off human presence detection with a computer vision model running on the edge, sending inference results up to AWS for reporting and advanced analytics. 📊 We'll be using the Advantech ICAM-540 based on an Nvidia Jetson Orin module as the edge device, offering powerful GPU-accelerated inference in a compact, rugged enclosure. Be sure to come check it out! 🚀 https://lnkd.in/f3bszXR #aws #reinvent #nvidia #jetson #iot

Big news! Edge Impulse is proud to announce that the Edge Impulse for Linux deployment integration with Amazon Web Services (AWS) IoT Greengrass is now available. AWS IoT Greengrass is a customizable deployment solution, part of the larger AWS IoT service family of IoT solutions, that enables scalable deployments of software to a large array of Greengrass-enabled edge devices. By uniting edge processing efficiencies with the scalability of cloud computing, Edge Impulse and AWS can empower businesses with greater decision making processes, reduced costs and optimized performance over time. Details in our blog post: https://lnkd.in/gbuAepmq #ai #edgeAI #iot #aws

🏥 Check out this excellent project from Coder's Cafe combining a Particle Photon 2 and an accelerometer to build a fall-detection wearable device. This AI-enabled, connected solution can give caretakers rapid notification of patient falls, enabling quicker responses and peace of mind that help is on the way. 👇

🌟 November Updates from Edge Impulse 🌟 Big news this month: A game-changing feature for ML workflows, an exciting webinar, and new industry reports to accelerate your edge AI strategy. 🚀 AI Labeling Feature Effortlessly speed up ML workflows with automated dataset labeling for images, audio, and more. Save time and focus on innovation! 🎥 Read the blog and watch the demo: https://lnkd.in/gH6ZVtCs 👁️ [New Webinar] 5 Key Insights for Edge Computer Vision 📅 Dec 11, 2024, 9:00 AM PST Learn how to navigate edge computer vision challenges with ZEDEDA and Edge Impulse. Topics include data handling, device management, and AI integration. 👉 Register now: https://lnkd.in/gHQMPkQp 🧠 Industry Reports to Drive Your Edge AI Strategy • Wevolver's Edge AI Technology Report: Generative AI Edition: Insights on integrating generative AI into edge computing. Get the report: https://lnkd.in/g3WeQw9N • Ultimate Guide to Edge AI: A roadmap to transform your business with AI. Download now: https://lnkd.in/gb7EZfs6 • AI in Manufacturing Trends: Survey results on AI adoption across industries. Read the report: https://lnkd.in/gD2W2yrs 🤝 Partner News • Ambiq + Edge Impulse: Low-power AI model deployment on Apollo4 Plus: https://lnkd.in/gUraNuWT • Alif Semiconductor + Edge Impulse: Vision AI breakthrough with NVIDIA TAO and Alif MCUs: https://lnkd.in/gPUUq8VZ ✍️ From Our Blog • Extend AI capabilities with Nordic Semiconductor dev kits: https://lnkd.in/gwDn3g4a • New Composite Image Block for efficient labeling: https://lnkd.in/gk-DXFpQ • AI for industrial control systems: https://lnkd.in/erRBEYzJ • Machine Learning: From Data to Actionable Insights for Every Industry: https://lnkd.in/g2-d4jZE Have a great month! Subscribe to get all our newsletters: https://lnkd.in/gq3n5g2Q

In machine learning, the quality of your dataset can make or break your model’s performance. But how can you explore building models if you're lacking a viable dataset with which to experiment? Our new public datasets are designed to offset that issue. This repository of curated and proven data collections provides image, audio, and time-series data collections to allow users to test out object detection, audio classification, and other types of ML algorithms. Get all the details and start exploring our public datasets here: https://lnkd.in/g2bK4me6 We can't wait to hear what types of experiments you use them for! #ai #edgeAI #dataset

“Edge AI is ideal for manufacturers with domain expertise who want to provide state-of-the-art on-device algorithms that deliver real-time insights without sacrificing battery life, performance, or privacy.” See how edge AI can speed up product development — check out our article reviewing finds from our manufacturing and AI survey, with Manufacturing Dive: https://lnkd.in/gsre36Qk #ai #edgeAI Pentatonic CarePredict, Inc GlobalSense Inc Zin Thein Kyaw

AWS Re:Invent is right around the corner! Be sure to register for our joint session with AWS and Nvidia, “Unleash Edge Computing with AWS IoT Greengrass on Nvidia Jetson” Developers will learn how to leverage AWS IoT Core and AWS Greengrass to orchestrate and manage edge devices from the cloud, build an edge AI model with Edge Impulse, then deploy that model to Nvidia #Jetson devices from Seeed Studio and Advantech. There are a few spots left in the Wednesday, December 4th session, but the Friday session is already full - because it’s THAT good! Sign up before it's too late, here: https://lnkd.in/gQeNyHBx Channa Samynathan Joe Julicher Yong Ji Minsung Kim NVIDIA NVIDIA AI Amazon Web Services (AWS) #AWS #ReInvent #IoT