WebAssembly-based Edge AI Sensing Pipeline Orchestrator for Resource-constrained Far-edge Devices
Offered By: Linux Foundation via YouTube
Course Description
Overview
Explore a sponsored session on developing a WebAssembly-based Edge AI Sensing Pipeline Orchestrator for resource-constrained far-edge devices. Discover how WebAssembly can be leveraged to create high-speed, low-power solutions for IoT devices in smart societies, cities, and factories. Learn about the concept of combining simple function Wasm modules to design complex business logic for sensor input/output, AI, and computer vision processing. Gain insights into deploying Wasm modules on various CPU/MPU architectures and executing them using Wasm Runtime with dynamic AOT compiling. Understand the potential of this approach as the next Intelligent Infrastructure and get a glimpse of the planned open-source software release and future roadmap.
Syllabus
Sponsored Session: WebAssembly-based Edge AI Sensing Pipeline Orches... Ryu Ishimoto & Kenji Shimizu
Taught by
Linux Foundation
Tags
Related Courses
Introduction to Metrics for Smart CitiesIEEE via edX Smart Cities
The Open University via FutureLearn Villes intelligentes : défis technologiques et sociétaux
Inria (French Institute for Research in Computer Science and Automation) via France Université Numerique Le développement durable, un levier de croissance
CNAM via France Université Numerique Big Data for Smart Cities
IEEE via edX