tinyML Challenge 2022: Smart weather station

Developing Countries is the area of the globe where land-based, in situ monitoring of weather and climate is at its scarcest, but at the same time has arguably the most potential to benefit society.

Rainfall and temperature can have high spatial variability due to the strong feedback that can exist between the land and atmosphere. Temperature can change rapidly in space due to land-cover heterogeneity and changing altitude over complex mountainous terrain. This means that a weather station tens of kilometers away may measure conditions that have little relevance to your location, making it hard to make informed local decisions.

The goal of this challenge is to create a low-cost, low-power, reliable, accurate, easy to install and maintain weather station, with no mechanical moving parts for measuring all weather conditions with a focus on rain and wind, based on based on ultra-low power machine learning at the edge, that can be deployed locally.

This talk will introduce the 2022 tinyML Challenge and how you can participate in this Challenge.

Date

June 29, 2022

Location

Virtual

Contact us

Discussion

Schedule

Timezone: PDT

TinyML Challenge 2022: Smart weather station

Thomas BASIKOLO, Programme Officer

ITU

Marco ZENNARO, Research Scientist

the Abdus Salam International Centre for Theoretical Physics

Alessandro GRANDE, Head of Product

Edge Impulse

Thomas BASIKOLO, Programme Officer

ITU

Thomas Basikolo works with the ITU coordinating and managing the AI for Good’s ML5G activities and as an advisor of the ITU-T Focus Group on Autonomous Networks. He received a PhD in Electrical and Computer Engineering from Yokohama National University, Japan. During his studies, he was awarded the Japanese Government (Monbukagakushō) scholarship. He was also a recipient of grants for Non-Japanese Researchers from the NEC C&C Foundation, and a visiting researcher at the NEC Data Science Research Laboratories. Prior to joining ITU, he worked as a Research Engineer in the Engineering Department of Microwave Factory Co., Ltd, Tokyo, Japan.

He is recipient of multiple Best Paper Awards, the IEEE AP–S Japan Student Award and the Young Engineer of the year award by IEEE AP–S Japan in 2018. He has co-authored peer-reviewed journal and conference papers, predominantly in the areas wireless communications and antenna engineering. He serves as a Reviewer of IEEE and IEICE Journals. His interests includes, machine learning, deep learning and network science, and their applications in wireless networks.

Marco ZENNARO, Research Scientist

the Abdus Salam International Centre for Theoretical Physics

Marco Zennaro is a research scientist at the Abdus Salam International Centre for Theoretical Physics in Trieste, Italy, where he coordinates the Science, Technology and Innovation Unit. Marco co-chairs the tinyML4D working group. He received his PhD from the KTH-Royal Institute of Technology, Stockholm. His research interest is in ICT4D, the use of ICT for Development, and in particular he investigates the use of Internet of Things for Development (#IoT4D). He has organized more than 30 training activities on IoT in Developing Countries. Marco is a Visiting Professor at Kobe Institute of Computing (KIC) in Kobe, Japan. More info at: http://users.ictp.it/~mzennaro/ 

Alessandro GRANDE, Head of Product

Edge Impulse

Alessandro is an experienced technologist who loves to combine his science and engineering expertise with a passion for innovation to create technologies that prioritize human needs and drive positive change in the world. With his background as a developer evangelist and ecosystem manager at Arm, he has gained invaluable insights into the needs and challenges of users in the IoT and edge AI space.

Now, as Head of Product at Edge Impulse, Alessandro is committed to empowering cross-functional teams to deliver an innovative product that meets customer needs and pushes the boundaries of what’s deemed possible.

Alessandro holds a Master’s degree in Nuclear Physics from “La Sapienza” University of Rome. His passion for innovation and connecting individuals has also led him to serve as the chair of the 2023 TinyML EMEA Innovation Forum, where he strives to provide a platform for individuals with a shared passion for innovation in the field of tinyML to connect and drive the industry forward together.

Schedule subject to change without notice.