Starts 3 Jul 2023
Ends 7 Jul 2023
Central European Time
Workshop on Widening Access to TinyML Network by Establishing Best Practices in Education | (smr 3851)
ICTP
Giambiagi Lecture Hall (AGH)
Adriatico Guest House
Riva Massimiliano e Carlotta, Grignano
I - 34151 Trieste (Italy)
An ICTP meeting in person
This workshop aims to develop sustainable university programs in embedded machine learning (also known as TinyML).
We will do so by first bridging the gap between leveraging standard open-access course materials and adapting these materials for local and regional contexts. We will also share best practices and learnings that our network has gained through their implementation of these adaptations over the past few years. We will then augment these courses by exploring the development of university research programs centered on embedded machine learning. We will discuss how to leverage these programs to provide students and faculty with extra-curricular experience and develop new technologies and publications in the field of embedded machine learning. We will also explore how these research agendas can be used to support scientific applications and sustainable development.
Grants: A limited number of grants are available to support the attendance of selected participants, with priority given to participants from developing countries. There is no registration fee.
This workshop aims to develop sustainable university programs in embedded machine learning (also known as TinyML).
We will do so by first bridging the gap between leveraging standard open-access course materials and adapting these materials for local and regional contexts. We will also share best practices and learnings that our network has gained through their implementation of these adaptations over the past few years. We will then augment these courses by exploring the development of university research programs centered on embedded machine learning. We will discuss how to leverage these programs to provide students and faculty with extra-curricular experience and develop new technologies and publications in the field of embedded machine learning. We will also explore how these research agendas can be used to support scientific applications and sustainable development.
Grants: A limited number of grants are available to support the attendance of selected participants, with priority given to participants from developing countries. There is no registration fee.
Organizers
José Alberto Ferreira Filho (UNIFEI), Vijay Janapa Reddi (Harvard University), Marcelo Jose Rovai (UNIFEI, IESTI), Brian Plancher (Barnard College), Local Organiser: Marco Zennaro (ICTP)
