You're reading from TinyML Cookbook - Second Edition

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Published inNov 2023

PublisherPackt

ISBN-139781837637362

Edition2nd Edition

Concepts

Machine Learning

Author (1)

Gian Marco Iodice

Conclusion

The key takeaway from all projects developed together is the devices’ low power consumption, which enables the deployment of affordable intelligent solutions in a unique and sustainable manner. This uniqueness and sustainability brings me to tell you a story on powering a tinyML application in a very peculiar way.

In 2022, a team of researchers at the University of Cambridge led by Prof. Christopher J (Jonathan) Howe and Dr. Paolo Bombelli built a groundbreaking device to generate electricity from the photosynthesis activity of algae named Biophotovoltaics (BPV) (https://pubs.rsc.org/en/content/articlelanding/2022/ee/d2ee00233g/unauth).

This device does not operate like a traditional battery or a solar panel. Contrary to conventional methods, a BPV device harnesses the energy of light and, through photosynthetic processes, extracts electrons from water.

Some of these electrons can be directed into an electrochemical apparatus to generate electricity...

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Author (1)

Gian Marco Iodice

Gian Marco Iodice is team and tech lead in the Machine Learning Group at Arm, who co-created the Arm Compute Library in 2017. The Arm Compute Library is currently the most performant library for ML on Arm, and it's deployed on billions of devices worldwide – from servers to smartphones. Gian Marco holds an MSc degree, with honors, in electronic engineering from the University of Pisa (Italy) and has several years of experience developing ML and computer vision algorithms on edge devices. Now, he's leading the ML performance optimization on Arm Mali GPUs. In 2020, Gian Marco cofounded the TinyML UK meetup group to encourage knowledge-sharing, educate, and inspire the next generation of ML developers on tiny and power-efficient devices.
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