Learning AI is one of the fastest growing technology fields. Organisations are already starting to implement modifications to their business models due to AI and Machine Learning being widely adopted as a helpful tool to build solutions for resilient and sustainable societies that can adapt to the effects of climate change.
Learning AI has thus become a prerequisite for developers, engineers and scientists.
Organised as a special session of the School of AI Netherlands, the AI for Space and Earth Observation side event at Φ-week will bring together a group of leaders in academia and industry to share their experience and knowledge on a range of topics around Learning AI.
It will offer the audience the possibility to learn from educational initiatives in Europe such as the School of AI and LiveAI, and will include a review of some of the elements of learning AI that are key for a solid understanding of the “how” and “why” AI algorithms are designed and applied.
The side event will take place on Friday 15 October from 14.00-17.00 CET.
Free registration at https://phiweek.esa.int/
- On learning AI and brief history of the School of AI Netherlands
- Interpretable AI and human machine interaction
- Deep Learning for Remote Sensing Applications
- AI for unlocking space exploration applications
- How AI and remote sensing can help for climate adaptation of smart cities
- Learning AI for Climate with LiveAI
- Welcome and introduction – Dr. Anca Anghelea, European Space Agency (14:00 – 14:05)
- On learning AI and brief history of the School of AI Netherlands – Dr. Beril Sirmacek, Assoc. Prof. Saxion University of Applied Sciences (14:05 – 14:20)
- Interpretable AI and human machine interaction – Prof. Dr. Devis Tuia, EPFL (14:20 – 14:50)
- Deep Learning for Remote Sensing Applications – Prof. Dr. Elif Sertel, Istanbul Technical University (14:50 – 15:20)
- AI for unlocking space exploration applications – Dr. Chris Mattmann, NASA JPL AI division head (15:30 – 16:00)
- How AI and remote sensing can help for climate adaptation of smart cities – Dr. Beril Sirmacek – Assoc. Prof. Saxion University of Applied Sciences, Smart Cities (16:00 – 16:30)
- Learning AI for Climate – Tarry Singh, DeepKapha & LiveAI (16:30 – 17:00)