Together with the new Azure IoT Tools for VS Code extension pack, we also overhauled the experience of Azure IoT Device Workbench. And there is another exciting sample contributed by Chris Lovett (Github) from Microsoft Research about running Embedded Learning Library (ELL) on MXChip IoT DevKit to achieve the keyword spotting locally.
In April this year, we released our first public preview of Azure IoT Workbench in Visual Studio Code, an IoT development environment aims to make it easy to code, build, deploy and debug your IoT project for MXChip IoT DevKit. From this one DevKit,
It’s been around 4 months since we release our official hardware and SDK as v1.0 last September right on Ignite 2017. In that event, the MXChip IoT DevKit was used on a couple of Azure IoT break-out and keynote sessions for demonstrations and together with announcement with new services released such as IoT Hub Device Provisioning Service.
Last week, we participated in Microsoft’s annual developer conference //build 2017. We were super excited to present our first preview version of the MXChip IoT Developer Kit, an Arduino compatible board with rich peripherals that uses Visual Studio Code for development.