[Open Call] Participate in editing Machine Learning Systems with TinyML

Open Call in editing Machine Learning Systems

We are excited to announce our official participation in the collaborative effort to edit and enhance the book Machine Learning Systems with TinyML. This project is spearheaded by Prof. Vijay Janapa Reddi of Harvard University, who serves as the primary author, editor, and curator.

We’re in an age where technology is always evolving. Open collaboration and sharing knowledge are the building blocks of true innovation. That’s the spirit behind Machine Learning Systems with TinyML. We go beyond the traditional textbook model to create a living knowledge hub.

Responsibilities:

Our team will focus on:

Streamlining laboratory procedures(labs). - Vendor-neutral lab template
Ensuring uniformity across all presented hardware installations.
Updating and maintaining technical accuracy with the oversight of Prof. Reddi.

For any discussions related to this project, please feel free to leave your comments here. Our application engineers are on hand to assist you.

Launch Details:

The main version of the book will be made available on mlsysbook.ai. We encourage all team members to visit the site, familiarize themselves with the content, and prepare for our active involvement.

How You Can Help:

We are calling on our contributors who have expertise in Machine Learning, TinyML, and systems integration to join this initiative. Your knowledge and experience will be invaluable in refining the content and practical demonstrations outlined in the book.

What do we offer?

We want to express our gratitude to our contributors by offering a range of rewards. Depending on the difficulties(Tier 0/1/2/3), the time we expect(Days 1/3/7/15), the actual submission time and the actual submission contents, we will offer different levels of rewards.

We will provide our products or cash bonus to our contributors as a token of appreciation.
For those contributors who join our "Ranger Program", we offer even more exciting rewards, including access to our prototype products.
In addition, all contributors and their contributions will be acknowledged and showcased on our wiki platform.

You will be working with

_{Vijay Janapa Reddi}	_{Ikechukwu Uchendu}	_naeemkh	_{Douwe den Blanken}	_{Shanzeh Batool}
_Kleinbard	_{Jared Ping}	_{Matthew Stewart}	_eliasab16	_ishapira
_{Marcelo Rovai}	_{Maximilian Lam}	_{Jayson Lin}	_{Jeffrey Ma}	_{Sophia Cho}
_{Korneel Van den Berghe}	_Zishen	_{Colby Banbury}	_{Srivatsan Krishnan}	_{Andrea Murillo}
_{Alex Rodriguez}	_{Aghyad Deeb}	_Divya	_{Aghyad Deeb}	_arnaumarin
_{Abdulrahman Mahmoud}	_{Michael Schnebly}	_{ELSuitorHarvard}	_oishib	_{Jared Ni}
_{Emil Njor}	_{Mark Mazumder}	_{Sara Khosravi}	_{Henry Bae}	_{Jae-Won Chung}
_{YU SHUN, HSIAO}	_{Aditi Raju}	_{Pong Trairatvorakul}	_eurashin	_{Jennifer Zhou}
_{Andrew Bass}	_{Marco Zennaro}	_{Shvetank Prakash}	_{Alex Oesterling}	_{Bruno Scaglione}
_{Gauri Jain}	_{Eric D}	_Allen-Kuang	_{Sercan Aygün}	_{Annie Laurie Cook}
_{Curren Iyer}	_yanjingl	_{Yang Zhou}	_{abigailswallow}	_{Batur Arslan}
_{Costin-Andrei Oncescu}	_{Yu-Shun Hsiao}	_songhan	_{Jessica Quaye}	_{Emeka Ezike}
_{happyappledog}	_{Jason Yik}	_{Shreya Johri}	_{Sonia Murthy}	_{Vijay Edupuganti}
_{The Random DIY}