Call for session overviews, outlines, and references

[chiayuhsu]

Description

As part of our upcoming workshop, we have created a page for each session for preview purposes for people who are interested in this workshop. Check this page for an example. Each team, please provide an overview, outline, and references for the sessions you are assigned.

Team Assignments

Please refer to the schedule below to identify the sessions your team is responsible for. The color coding in the schedule sheet corresponds to your team's assignments.

• Wenwen's Team/ASU
  • The building blocks of neural networks and deep learning: https://github.com/cyber2a/cyber2a.github.io/blob/main/content/workshop/the-building-blocks-of-nn-and-dl.qmd
  • Introduction to PyTorch:
    https://github.com/cyber2a/cyber2a.github.io/blob/main/content/workshop/intro-to-pytorch.qmd
  • Hands-on lab: PyTorch:
    https://github.com/cyber2a/cyber2a.github.io/blob/main/content/workshop/hands-on-lab-pytorch.qmd
  • Exploring advanced neural networks:
    https://github.com/cyber2a/cyber2a.github.io/blob/main/content/workshop/exploring-advanced-neural-networks.qmd
  • Introduction to DL library
    https://github.com/cyber2a/cyber2a.github.io/blob/main/content/workshop/intro-to-dl-libraries-for-image-analysis.qmd
  • Hands-on lab: Detectron2:
    https://github.com/cyber2a/cyber2a.github.io/blob/main/content/workshop/hands-on-lab-detectron2.qmd
• Matt's team/UCSB
  • AI for everyone:
    https://github.com/cyber2a/cyber2a.github.io/blob/main/content/workshop/ai-for-everyone.qmd
  • AI-ready data in Arctic research:
    https://github.com/cyber2a/cyber2a.github.io/blob/main/content/workshop/ai-ready-data-in-arctic-research.qmd
  • Data annotation:
    https://github.com/cyber2a/cyber2a.github.io/blob/main/content/workshop/data-annotation.qmd
  • Hands-on lab: data annotation:
    https://github.com/cyber2a/cyber2a.github.io/blob/main/content/workshop/hands-on-lab-data-annotation.qmd
  • AI ethics:
    https://github.com/cyber2a/cyber2a.github.io/blob/main/content/workshop/ai-ethics.qmd
  • Socially responsible AI
    https://github.com/cyber2a/cyber2a.github.io/blob/main/content/workshop/socially-responsible-ai.qmd
  • Reproducibility
    https://github.com/cyber2a/cyber2a.github.io/blob/main/content/workshop/reproducibility.qmd
• Kenton's team/UIUC
  • AI workflows and MLOps:
    https://github.com/cyber2a/cyber2a.github.io/blob/main/content/workshop/ai-workflows-and-mlops.qmd
  • Hands-on lab: AI workflows
    https://github.com/cyber2a/cyber2a.github.io/blob/main/content/workshop/hands-on-lab-ai-workflows.qmd
  • Foundation models:
    https://github.com/cyber2a/cyber2a.github.io/blob/main/content/workshop/foundation-models.qmd
  • Hands-on lab: foundation models:
    https://github.com/cyber2a/cyber2a.github.io/blob/main/content/workshop/hands-on-lab-foundation-models.qmd

Key Components to Include

• Overview: A summary of the session’s objectives and content.
• Outline: A structured outline highlighting the main topics and subtopics to be covered.
• References: Any books, articles, websites, or other resources that will be utilized or recommended.

You may refer to our current online curriculum (under development) or this guest session (https://github.com/cyber2a/cyber2a.github.io/blob/main/content/workshop/guest-lecture-yili-rts-introduction.qmd) for reference.