App-based AI-Vision: Build in the cloud, runs on the edge

Building a cloud-native inventory detection app with AI and Kubernetes on Google Distributed CloudПодробнее

End-to-End Cloud-Native Computer Vision Application on the EdgeПодробнее

AWS re:Invent 2022 - Pushing the boundary of the cloud to the edge (HYB203)Подробнее

Build AI vision apps without coding - XCITING NEW EASYNESSПодробнее

AI Vision: Detect & Prevent Forest Fires and Secure National Parks | Vantiq, Dell & ChoochПодробнее

Building a cloud-native inventory detection app with AI and Kubernetes on Google Distributed Cloud.Подробнее

tinyML Talks: Empowering the Edge: Practical Applications of Embedded Machine Learning on MCUsПодробнее

New easiness of AI Vision with IDS NXTПодробнее

How to build Edge AI & Computer vision PoCs in 4-week with ready-to-deploy hardware and algorithms?Подробнее

Jetson Xavier NX Developer Kit: The Next Leap in Edge ComputingПодробнее

Training and deploying ML models on edge devices (TF Fall 2020 Updates)Подробнее

Running AI/Neural networks on microcontrollers made simple with the STM32Cube.AIПодробнее

AWS re:Invent 2020: Use computer vision at the edge to improve operations with AWS PanoramaПодробнее

Computer Vision Power Bundle Accelerated AI Camera and Low-Code SoftwareПодробнее

Implementing Real-time Vision AI Apps Using NVIDIA DeepStream SDKПодробнее

NVIDIA Tools to Train, Build, and Deploy Intelligent Vision Applications at the EdgeПодробнее

Honeywell and Foghorn Leverage Android for Smart Industrial Devices (Cloud Next '19)Подробнее