Scientific Calendar Event

Starts 6 May 2024
Ends 10 May 2024
Central European Time
Online -
An ICTP virtual meeting

TinyML empowers machine learning technologies to conduct on-device analytics of sensor data with remarkably low power consumption. This opens the door for the development of novel applications at an exceptionally affordable cost and on a large scale.
  • Introduction to TinyML
  • The TinyML Development Workflow
  • TinyML Applications
  • Scientific Applications of ML
  • Recent Research and Advanced Topics in TinyML
José Antonio BAGUR NÁJERA, Universidad del Valle de Guatemala, Guatemala
David CUARTIELLES RUIZ, Malmo University, Sweden (Arduino Co-Founder)
Evgeni GOUSEV, TinyML Foundation, USA
Shawn HYMEL, Edge Impulse, USA
Gian Marco IODICE, ARM, Italy
Jesus Alfonso LOPEZ SOTELO, Universidad Autonoma de Occidente, Colombia
Diego MENDEZ CHAVES, Pontificia Universidad Javeriana, Colombia
Moises Stevend MEZA RODRIGUEZ, Cayetano Heredia Peruvian University, Peru
Claudio MICELI, Universidade Federal do Rio de Janeiro, Brazil
Hao Eric PAN, Seeed Studio, China
Brian PLANCHER, (Barnard College, Columbia University, USA
Marcus RÜB, Hahn-Schickard, Germany
Robert THAS JOHN, ARM, Italy
Marco ZENNARO, ICTP, Italy

Call for Contributed Abstracts: All applicants are encouraged to submit an abstract for a case study presentation. Abstract templates are available below for download.

Registration: There is no registration fee.



Brian Plancher (Barnard College), Vijay Janapa Reddi (Harvard University), Marcelo Jose Rovai (UNIFEI, IESTI), Marco Zennaro (ICTP), Local Organiser: Marco Zennaro (ICTP)