Starts 23 Mar 2026
Ends 27 Mar 2026
Central European Time
School on Applied AI for Sustainable Development | (smr 4210)
ICTP
Kastler Lecture Hall (AGH)
Strada Costiera, 11
I - 34151 Trieste (Italy)
An ICTP meeting
The call for applications is open. Please click on 'Apply here' (on the left) to submit your application.
The School covers key aspects of Applied AI, focusing on designing, developing, and deploying practical solutions to real-world problems. It aims to equip scientists, primarily from developing countries, to tackle local challenges and contribute to global sustainability goals.
Embedded devices running ML models are becoming increasingly powerful, evolving from Cloud-based AI to EdgeAI. This shift enables the creation of more complex, sustainable, and real-time AI solutions for applications such as environmental monitoring, particle detection and classification, radiation monitoring, smart agriculture, waste management, and beyond.
The School includes hands-on exercises, group discussions, and case studies to reinforce key concepts. Participants will be introduced to open-source methods, software tools, and hardware platforms relevant to real-world deployment.
The School is linked to multiple MSCA EU-funded projects (ROBUST / AIAS / ANTIDOTE), and the Annual Workshop of the the the Rural Environmental Monitoring via ultra wide-ARea networKs And distriButed federated LEarning (REMARKABLE) EU project.
Topics
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.
The call for applications is open. Please click on 'Apply here' (on the left) to submit your application.
The School covers key aspects of Applied AI, focusing on designing, developing, and deploying practical solutions to real-world problems. It aims to equip scientists, primarily from developing countries, to tackle local challenges and contribute to global sustainability goals.
Embedded devices running ML models are becoming increasingly powerful, evolving from Cloud-based AI to EdgeAI. This shift enables the creation of more complex, sustainable, and real-time AI solutions for applications such as environmental monitoring, particle detection and classification, radiation monitoring, smart agriculture, waste management, and beyond.
The School includes hands-on exercises, group discussions, and case studies to reinforce key concepts. Participants will be introduced to open-source methods, software tools, and hardware platforms relevant to real-world deployment.
The School is linked to multiple MSCA EU-funded projects (ROBUST / AIAS / ANTIDOTE), and the Annual Workshop of the the the Rural Environmental Monitoring via ultra wide-ARea networKs And distriButed federated LEarning (REMARKABLE) EU project.
Topics
- Foundations of AI & Sustainable Development Goals (SDGs)
- Sector-Specific AI Tools and Technologies
- Introduction to TinyML and EdgeAI
- Data cleaning
- Heterogeneous Computing
- Fundamentals of Applied ML
- Sensors and Data Collection
- ML and Model Compression for FPGA-based EdgeAI Devices
- Edge AI for the Internet of Things: Insights from Real-World Projects
- Ethical & Sustainable AI
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
Paolo Calciati (PDM, Portugal), Luis Miguel Serra Da Costa Campos (PDM, Portugal), Marco Zennaro (ICTP, Italy), Local Organiser: Maria Liz Crespo (ICTP)
