Orchestrate all the Things Machine learning at the edge: A hardware and software ecosystem. Featuring Alif Semiconductors Sr. Marketing Manager Henrik Flodell, Arm Director of Ecosystem and Developer Relations Machine Learning Philip Lewer, Neuton CTO Blair Newman
Sep 21, 2021
Henrik Flodell, Philip Lewer, and Blair Newman discuss the significance of hardware and software cooperation for deploying machine learning applications at the edge. They explore Neuton's architecture, optimizing power draw for cellular enabled devices, and future plans for growth in the tiny ML and AI on the edge space.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Introduction
00:00 • 2min
Introduction to ARM and Alif Semiconductors
02:03 • 12min
Bringing Machine Learning to the Edge
14:08 • 17min
Comparison of Power Characteristics and Consumption in Two Product Lines
31:32 • 3min
Neuton's Architecture for Edge Applications
34:17 • 6min
Partnership and Growth in the Tiny ML and AI on the Edge Space
40:41 • 15min