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Cyber2A Workshop

Cyber2A Workshop

Workshop Information
Workshop Curriculum Preview
- 1. Introduction to AI and Arctic science
- • Breaking the ice with AI in Arctic Science
- • AI for everyone: an introductory overview
- • Guest lecture (Anna)
- • The Fun and frontiers of AI: innovation, imagination, interaction
- 2. Data management and preparation for AI
- • AI-ready data in Arctic research: principles and practices
- • Guest lecture: unveiling the ARTS dataset for a thawing frontier
- • Data annotation: the foundation of deep learning models
- • Hands on lab: data annotation
- 3. AI fundamentals and techniques
- • The building blocks of neural networks and deep learning
- • Introduction to PyTorch: core functionalities and advantages
- • Hands-on-lab: PyTorch
- • Exploring advanced neural networks: semantic segmentation
- • Introduction to deep learning libraries for image analysis
- • Hands-on-lab: MMSegmentation
- 4. Advanced AI workflows and models
- • AI workflows and MLOps: from development to deployment
- • Hands-on-lab: AI workflows
- • Foundation models: the cornerstones of modern AI
- • Hands-on-lab: foundation models
- 5. Ethics and social implications of AI
- • AI ethics
- • Socially responsible AI
- • Reproducibility

Hands-On Lab: Data Annotation

Overview

Outline

Reference

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