GTC 2021 Keynote with NVIDIA CEO Jensen Huang
NVIDIA CEO Jensen Huang delivers the #GTC21 keynote, where he introduced a number of amazing breakthroughs.
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Rapidly move your Vision AI project to production with VisionOnEdge
Putting together a demo or a simple proof of concept for your Vision AI at the edge project has become pretty simple. But bringing this project to pilot then to production can be daunting. Mahesh Yadav joins Olivier on this new episode to introduce the open source project VisionOnEdge which gives you all you need […]
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ML at the edge and in the Cloud with Azure Sphere
See how Azure Sphere allows to run ML at the edge combined with Cloud AI in this demo on the IoT Show. IoT devices can work with cognitive services in the cloud for ML tasks such as face verification. However, it is often useful to have ML at the edge as well, to avoid streaming […]
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Bring Compute, Storage, and Intelligence to the Edge with Azure Stack Edge
Dipti Pai joins Scott Hanselman to show how to run containerized and VM workloads to get quick, actionable insights at the edge—where data is created—using purpose-built hardware-as-a-service with Azure Stack Edge. Related links: Azure Stack Edge What is Azure Stack Edge Pro with GPU? Microsoft Hardware Experience app (iOS) Microsoft Hardware Experience app (Android) Create […]
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Real-Time Object Detection on a NVIDIA Jetson Nano
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Frank
- October 9, 2020
- AI
- artificial intelligence
- Computer Vision
- Deep Learning
- deep learning python
- deep learning python tutorial
- Edge Computing
- jetsonnano
- live coding
- live coding python
- live coding stream
- Machine Learning
- machine learning python
- nano
- Nvidia
- NVIDIA Jetson Nano
- nvidia jetson nano camera
- nvidia jetson nano object recognition
- nvidia jetson nano tensorflow
- nvidia jetson nano tutorial
- TensorFlow
Watch Sascha Dittmann and friends build out a real time object detection system on the Jetson Nano.
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AI chipmaker Hailo rolls out acceleration modules for edge devices
AI chipmaker Hailo announced today the launch of its M.2 and Mini PCIe high-performance AI acceleration modules for empowering edge devices. Integrating the Hailo-8TM processor, the modules can be plugged into a variety of edge devices to provide superior AI capabilities for smart cities, smart retail, industry 4.0, smart homes and other fields. The plug-in […]
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Simplifying Vision AI in Azure IoT Central
Building Vision AI applications has never been that simple with Azure IoT Central and IoT Edge. Today, you can use various technologies to create Video Analytics solutions end to end, but assembling all these technologies from video acquisition, analytics at the edge to managing the cameras and gateways is not trivial. The Azure IoT Central […]
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Edge Analytics Complementing Cloud Computing
With the adoption of IoT, connected applications and systems are moving to the cloud. The number of end-devices and data generated on the cloud is also increasing. Edge devices like sensors, mobile devices, wearables, robots, and many other connected devices in IoT ecosystem generate a huge amount of decentralized data. Due to lack of reliable […]
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A Quick Intro to the Azure Stack Portfolio
Cassie Condon joined Scott Hanselman at Ignite 2019 to talk about the new investments, capabilities, and form factors for the Azure Stack portfolio that ensure our edge infrastructure fits seamlessly in our customers’ solutions. Azure Stack is now a portfolio of products consisting of Azure Stack HCI, Azure Stack Hub (previously Azure Stack), and Azure […]
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AI comes to the Edge with SolidRun and Gyrfalcon’s AI Inference Server
Do you need AI video smarts on the edge? Then, SolidRun, a developer and manufacturer of high-performance edge computing hardware, and application-specific integrated circuit (ASIC) chip manufacturer Gyrfalcon Technology has a server for you: The Arm-based, Linux-powered Janux GS31 AI inference server. What’s an AI inference server you ask? Once you’ve trained a neural network […]
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