Explore the intersection of AI/ML and WebAssembly at the extreme edge in this 37-minute conference talk by Michael Tanenbaum from Mycelial. Gain insights into the potential path forward for implementing artificial intelligence and machine learning technologies in edge computing environments using WebAssembly. Discover how this approach can revolutionize data processing and decision-making capabilities in resource-constrained devices and remote locations.
AI/ML at the Extreme Edge with WebAssembly - A Path Forward
Overview
Syllabus
AI/ML at the Extreme Edge with WebAssembly: A Path Forward - Michael Tanenbaum, Mycelial
Taught by
Linux Foundation
Tags
Related Courses
-
AI Principles with Edge Computing
-
Machine Learning at the Edge on Arm: A Practical Introduction
-
Microsoft AI & ML Engineering
-
Getting Started with Machine Learning at the Edge on Arm
-
Business Considerations for 5G with Edge, IoT, and AI
-
WebAssembly-based Edge AI Sensing Pipeline Orchestrator for Resource-constrained Far-edge Devices
