Powering Machine Learning Applications on ARM with Algae-Based Sustainable Batteries
EDGE AI FOUNDATION via YouTube
Overview
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Learn how to power machine learning applications using sustainable algae-based batteries in this 26-minute technical talk from the tinyML EMEA conference. Explore the groundbreaking research led by Arm's Machine Learning Group Team Lead Gian Marco Iodice and University of Cambridge scientist Dr. Paolo Bombelli as they demonstrate powering Arm Cortex-M0 microcontrollers with environmentally friendly batteries made from renewable algae resources. Discover the technical challenges and innovative solutions in developing sustainable power sources, understand the fundamentals of photosynthesis-based electricity generation, and see how ML applications can be optimized to work efficiently with eco-friendly power solutions. Gain insights into sustainable technology, renewable energy implementation, and specialized tinyML applications for microcontrollers through detailed examples and practical demonstrations.
Syllabus
Intro
Elements of photosynthesis
Electricity from photosynthesis
Current generation
Defining the domain
Examples
Powering ML
Goal
Solutions
Goals
First ML application
Ingredients
Device selection
Challenges
Considerations
Big challenge
ML deployment framework
Microcontroller
Programming
Project
Acronym
Taught by
EDGE AI FOUNDATION