To introduce participants to the state-of-the-art deep learning models, recent research, and practical applications tailored for challenges and studies related to Arctic research.
Breakdown(sample)
The Arctic Context
Brief overview of Arctic research
The potential of deep learning in addressing Arctic-specific challenges
Satellite Imagery Analysis (15 minutes)
Case study (data, models, ...)
Climate Modeling and Prediction
Case study (data, models, ...)
Biodiversity and Ecosystem Monitoring
Case study (data, models, ...)
Underwater Acoustic Analysis
Case study (data, models, ...)
Indigenous Knowledge and Cultural Preservation
Case study (data, models, ...)
Future Directions and Open Challenges (15 minutes)
Emerging areas in Arctic research where deep learning can play a role
The importance of interdisciplinary collaboration: Combining domain expertise with AI
Ethical considerations: Data privacy, indigenous rights, and responsible AI
Overview of popular models and applications
Goal
To introduce participants to the state-of-the-art deep learning models, recent research, and practical applications tailored for challenges and studies related to Arctic research.
Breakdown(sample)