Project Overview
In order to improve the accessibility of STEM education we are undertaking research to understand and improve diversity, equity, inclusion, and belonging in STEM education globally and to design new interdisciplinary, project-based, open-access courses that lower the barrier to entry of cutting edge topics like robotics and embedded machine learning.
As a part of this effort we help lead the Tiny Machine Learning Open Education Initiative (TinyMLedu ).
Publications
Brian Plancher
,
Sebastian Büttrich
,
Jeremey Ellis
,
Neena Goveas
,
Laila Kazimierski
,
Jesus Lopez Sotelo
,
Milan Lukic
,
Diego Mendez Chaves
,
Rosdiadee Nordin
,
Andres Oliva Trevisan
,
Massimo Pavan
,
Manuel Roveri
,
Marcus Rüb
,
Jackline Tum
,
Marian Verhelst
,
Salah Abdeljabar
,
Segun Adebayo
,
Thomas Amberg
,
Halleluyah Aworinde
,
José Antonio Bagur Nájera
,
Gregg Barrett
,
Nabil Benamar
,
Bharat Chaudhari
,
Ronald Criollo
,
David Cuartielles
,
JoseA lberto Ferreira Filho
,
Solomon Gizaw
,
Evgeni Gousev
,
Alessandro Grande
,
Shawn Hymel
,
Peter Ing
,
Prashant Manandhar
,
Pietro Manzoni
,
Boris Murmann
,
Eric Pan
,
Rytis Paskauskas
,
Ermanno Pietrosemoli
,
Tales Pimenta
,
Marcelo Rovai
,
Marco Zennaro
,
Vijay Janapa Reddi
(2024).
TinyML4D: Scaling Embedded Machine Learning Education in the Developing World .
In
AAAI IDAIE 2024 .
Cite
DOI
TinyML4D Website
Symposium Website
Vijay Janapa Reddi
,
Brian Plancher
,
Susan Kennedy
,
Laurence Moroney
,
Pete Warden
,
Anant Agarwal
,
Colby Banbury
,
Massimo Banzi
,
Matthew Bennett
,
Benjamin Brown
,
Sharad Chitlangia
,
Radhika Ghosal
,
Sarah Grafman
,
Rupert Jaeger
,
Srivatsan Krishnan
,
Maximilian Lam
,
Daniel Leiker
,
Cara Mann
,
Mark Mazumder
,
Dominic Pajak
,
Dhilan Ramaprasad
,
J. Evan Smith
,
Matthew Stewart
,
Dustin Tingley
(2022).
Widening Access to Applied Machine Learning with TinyML .
In
HDSR 2022.
PDF
Cite
DOI
Course Main Page
TinyML Open Education Initiative
MOOC Website
MOOC Course Materials
Sertac Karaman
,
Ariel Anders
,
Michael Boulet
,
Jane Connor
,
Kenneth Gregson
,
Winter Guerra
,
Owen Guldner
,
Mubarik Mohamoud
,
Brian Plancher
,
Robert Shin
,
John Vivilecchia
(2017).
Project-based, collaborative, algorithmic robotics for high school students: Programming self-driving race cars at MIT .
In
ISEC 2017 .
PDF
Cite
DOI
Collaborators