Workshop on Widening Access to TinyML Network by Establishing Best Practices in Education

Administration

Description

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.

Material

Final list of Participants Group Photo Poster

Workshop on Widening Access to TinyML Network by Establishing Best Practices in Education | (smr 3851)

Go to day

Monday, 3 July 2023

08:30 - 09:15

08:30 Registration formalities 45'

REGISTRATION: Upon arrival, Visitors not staying in the ICTP Guest Houses, are kindly requested to complete registration formalities at the Adriatico Guest House (Lower level). The Registration Desk will be open from 8.30 to 09.15.

09:15 - 10:30

09:15 Workshop Opening and Call to Action 15'

Speaker:	Marco ZENNARO (ICTP, Italy)
Material:	Slides

09:30 Introductions and Sharing of Attendees 30'

Speaker: Marco ZENNARO (ICTP, Italy)
10:00 Coffee Break 30'

10:30 - 17:00 Experience Sessions - Long TinyML course

10:30 Hardware Architectures for Embedded and Edge AI 30'

Speaker:	Manuel ROVERI (Politecnico of Milan)
Material:	Slides

11:00 An Undergrad Engineering Course on Project Development 30'

Speaker:	Marcelo ROVAI (UNIFEI IESTI, Brazil)
Material:	Slides

11:30 Launching TinyML edX and Long Term Support 30'

Speaker:	Brian PLANCHER (Barnard College, Columbia University)
Material:	Slides

12:00 Lunch 1h30'

13:30 Experiences in Teaching TinyML to (Under)Graduate Students 30'

Speaker:	Jesus LOPEZ (Universidad Autonoma de Occidente, Colombia)
Material:	Slides

14:00 Deprecation, Client Side, and TinyMLjs 30'

Speaker:	Jeremy ELLIS (Mission Secondary School, Canada)
Material:	Slides

14:30 Experience Session Reflections and Lessons Learned 45'
15:15 Coffee Break 25'
15:40 Experience Session Reflections and Lessons Learned (Continued) 1h20'

Tuesday, 4 July 2023

09:00 - 13:45 TinyML Community Building

09:00 An Overview of Edge Impulse and its Latest Features 55'

Speaker:	Alessandro GRANDE (Edge Impulse)
Material:	Slides

09:55 Coffee break 15'

10:10 Academia-Industry Partnerships from the Perspective of the tinyML Foundation and a Call to Action for tinyMLedu 55'

Speaker:	Evgeni GOUSEV (TinyML Foundation)
Material:	Slides

11:05 Is open source all that is needed to create a good education programme? Three experiences in designing courses for massive adoption 55'

Speaker:	David CUARTIELLES (Malmo University)
Material:	Slides

12:00 Lunch break 1h15'

13:15 Designing Open Training Materials 30'

Speaker:	Marcus RUB (Hahn-Schickard-Gesellschaft für angewandte Forschung e.V.) and Thomas AMBERG (University of Applied Sciences and Arts Northwestern)
Material:	Slides

13:45 - 17:00 Experience Sessions - Short TinyML courses

13:45 TinyML Course at ITU 24'

Speaker:	Sebastian BUETTRICH (University of Oregon, NSRC and ICTP, Italy)
Material:	Slides

14:09 TinyML Teaching Experience 24'

Speaker:	Solomon Gizaw TULU (Addis Ababa University)
Material:	Slides

14:33 TinyML teaching experience and supervising capstone projects 24'

Speaker:	Ronald CRIOLLO (Escuela Superior Politécnica del Litoral, Ecuador)
Material:	Slides

14:57 The challenging first steps of graduate students on TinyML 24'

Speaker:	Diego MENDEZ CHAVES (ICTP, Italy)
Material:	Slides

15:21 Micro-Credential Course on TinyML 24'

Speaker:	Rosdiadee Bin NORDIN (UKM, Malaysia)
Material:	Slides

15:45 Coffee Break 15'
16:00 Experience Session Reflections and Lessons Learned 1h0'

19:00 - 20:30
- 19:00 Welcome Reception 1h30' ( Adriatico Guest House Terrace )
```
All participants are cordially invited to the Welcome Reception
```

Wednesday, 5 July 2023

09:00 - 16:45 Technical Deep Dives + Hardware Demos

09:00 Keynote: Making Sense of the Wild 1h0'

Speaker:	Eric PAN (Seeed Studio)
Material:	Slides

10:00 Coffee break 15'
10:15 Technical Talk: From LoRa to the Cloud: Bridging Physical and Digital Worlds 1h0'

Speaker: Pietro MANZONI (Universidad Politecnica de Valencia)
11:15 Research Talk: Benefits and Challenges of using Low Cost Weather Stations 1h0'

Speaker: Paul KUCERA (UCAR/COMET)
12:15 Lunch break 1h30'
13:45 Research Talk: Monitoring mosquitoes of public health importance with TinyML 1h0'

Speaker: Cyril CAMINADE (ICTP)
14:45 Coffee break 30'
15:15 Hardware Demo 1h30'

Speaker: Marcelo ROVAI (UNIFEI IESTI) and Jose Antonio BAGUR (Arduino)

Thursday, 6 July 2023

09:00 - 14:00 Research in Embedded ML

09:00 Research Talks Part I 1h0'

Neena GOVEAS (TinyML research and human health monitoring)
Jose Antonio BAGUR (Anomaly Detection Course)

10:00 Coffee break 15'

10:15 Research Talks Part II 2h0'

Laila KAZIMIERSKI (Animal tracking)
Milan LUKIC (Lightweight digit recognition in utility metering, Anomaly detection in logistics asset tracking, Detection of fungal disease outbreak risk in agriculture)  
Jackline TUM (leveraging TinyML for illegal Logging detection)
Halleluyah AWORINDE (Leveraging TinyML for vocalization signal-based Poultry Health Management)
Brian PLANCHER (ML Sensors and Environmental Impact of TinyML)

12:15 Lunch break 1h30'

13:45 - 16:45 White Paper on Embedded ML University Program Design

Brian PLANCHER facilitator

13:45 Group work 45'

in Groups outline the key points for the following sections: Courses that can (and need) to be taught, best practices on sharing educational materials, steps toward building a research program, curriculum diagrams building off of (or centered around TinyML), etc.

14:30 Group work 15'

shuffle the groups up and have them keep working for cross pollination (we can random the groups ahead of time)

14:45 Coffee break 30'
15:15 Group work 30'
```
last random shuffle and group work
```

15:45 Group work 45'

report back on final landing points for the various sections and discuss as a large group. Hopefully we can all align on the outline of the paper for each section.

17:00 - 20:00
- 17:00 SciFabLab visit 3h0'

Friday, 7 July 2023

09:00 - 16:30 Growing the 4D Network and Increasing Collaboration

09:00 Keynote: Teaching TinyML in ARM Laboratories 1h0'

Speaker: Stephen OZOIGBO (ARM)
10:00 Coffee break 30'

10:30 Future of Embedded ML 2h0'

(Group Work, Brian PLANCHER facilitator)
Where can we go from here? On-device learning? EE? CE? CS? AI? Connections to other domains? Robotics?

12:30 Lunch break 1h30'

14:00 Feedback 1h0'

how does this all fit in your curriculum? What can be done to improve your local experience and effectiveness?

15:00 Collaboration Discussion 1h0'

how can we better collaborate on teaching and research – what systems do we need to put in place? Can we leverage the learnings in LATAM to improve this elsewhere?

16:00 Closing ceremony 30'