Greater integration with Azure by enabling Linux modules with Azure IoT Edge on Windows. Key updates include the following, with more details below: But to fully benefit from this new paradigm, embedded developers need to understand how to design for containerized workloads and need a platform that can support devices today and in the future.Īt Microsoft Build 2020, we were excited to announce a broad range of updates to meet the needs of every IoT device developer-from those building a new embedded cloud-connected device or an intelligent edge device running AI/ML workloads, to OEMs looking to modernize existing devices. With AI/ML, there is continuous learning and an improved ability to predict outcomes. As Artificial Intelligence (AI)/Machine Learning (ML) become mainstream, device builders can enable intelligent edge- devices that gather data and analyze it locally. Recent advances in computing such as artificial intelligence, more powerful sensors, and container technology are unlocking new scenarios and creating new paradigms for device developers. Embedded computing has been around for a number of years.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |