Deep Learning at the Edge

Explore deep learning applications at the edge in this 54-minute conference talk by Gavin Adams from Amazon Web Services. Gain insights into edge architecture, constraints, and use cases, including wind turbine farms and computer vision. Learn about system and user packages, Toradex demo hardware and architecture, intermittent connectivity challenges, and security considerations. Discover strategies for managing edge components, including operating systems, orchestration, machine learning, and edge logic development. Understand the laws of the edge and design considerations for implementing deep learning in edge computing environments.

Intro
Architecture overview Edge
The laws of the edge
Wind turbine farm
Constraints for use cases
System packages
User packages
Edge computer vision (basic)
Edge computer vision (next level)
Toradex Demo Hardware
Toradex Demo Architecture
Intermittent connectivity
Security constraints
Reduce access surface area
Other design considerations
Managing edge components - Operating System • Operating system
Managing edge components - Orchestration
Managing edge components - Machine Learning
Managing edge components - Edge Logic • Development
In summary