Welcome!
SciTinyML: Scientific Use of Machine Learning on Low-Power Devices will be run remotely in English for 2024 from May 6-10.
Register to attend for free by Friday, April 26, 2024 on the ICTP website!
We are also actively soliciting submissions for short talks during our Show and Tell day! Please follow this link to learn more!
This year’s theme is Applications and Advanced Topics. We’ll still begin the workshop with our usual open introduction to TinyML through Hands-on Labs on Days 1 and 2 to get everyone up to speed and then will transition toward more application focused and advanced topics (see the schedule below for more details).
SciTinyML is an ICTP Virtual Meeting supported by the TinyML4D Academic Network and open to all.
TinyML is a subfield of Machine Learning focused on developing models that can be executed on small, real-time, low-power, and low-cost embedded devices. This allows for new scientific applications to be developed at an extremely low cost and at large scale.
TinyML represents a collaborative effort between the embedded power systems and Machine Learning communities, which traditionally have operated independently. TinyML has a significant role to play in achieving the SDGs and facilitating scientific research in areas such as environmental monitoring, physics of complex systems and energy management.
The TinyML process starts with collecting data from IoT devices, then training the collected dataset to extract knowledge patterns; these patterns are then packaged into a TinyML model that considers the target microprocessor’s limited resources such as memory, processing power, and energy.
Through hands-on examples, this workshop will focus on both introductory and advanced topics in TinyML to pave the way to the development of real-world applications.
Workshop Topics:
- Introduction to TinyML
- Getting Started with the TinyML Kit
- Examples of TinyML Applications
- The TinyML Development Workflow
- Scientific Applications of ML
- Recent Research and Advanced Topics in TinyML
View the Workshop Flyer!
Schedule
Draft Schedule Subject to Change
| Day | Date | Topics | Speakers and Materials |
|---|---|---|---|
| Day 1 | Monday | Introduction to (tiny)ML 1:00:00 PM Workshop Opening and Schedule 1:10:00 PM Opening Keynote 2:00:00 PM AI and ML Overview 3:00:00 PM Introduction to Embedded ML 3:45:00 PM Education in TinyML 4:15:00 PM Day Closing |
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| Day 2 | Tuesday | The TinyML Development Workflow 1:00:00 PM Day Opening 1:05:00 PM Academia-Industry Partnerships 1:50:00 PM Edge Impulse Overview and Update 2:35:00 PM Hands-on Motion Classification and Anomaly Detection 3:55:00 PM Day Closing |
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| Day 3 | Wednesday | Education & Applications 1:00:00 PM Day Opening 1:05:00 PM TinyML Devices Enabling Physical GPT 1:45:00 PM Experiences using TinyML Tools in Teaching Biomedical Engineering 2:25:00 PM Data Fusion in Tinyml and Applications in Biology and Federated Learning 3:00:00 PM Arduino and Education 3:55:00 PM Day Closing |
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| Day 4 | Thursday | TinyML Show and Tell 1:00:00 PM Day Opening 1:05:00 PM Show and Tell Introduction 1:20:00 PM Show and Tell Talks 3:55:00 PM Day Closing |
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| Day 5 | Friday | Recent Research and Advanced Topics in TinyML 1:00:00 PM Day Opening 1:05:00 PM On-Device Learning 1:50:00 PM Fingerprinting 2:35:00 PM Materiality and Risk in the Age of Pervasive AI Sensors 3:05:00 PM Workshop Closing and Future Events 3:25:00 PM TinyML4D Regional Networking |
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Questions?
Contact edu@tinyml.org with any questions regarding this workshop.
Supporters
We would like to thank ICTP, Harvard SEAS, Barnard College, the Universidade Federal de Itajubá, and the tinyML Foundation for their continued leadership and support of all of our TinyML educational content!