> For the complete documentation index, see [llms.txt](https://emory.gitbook.io/ai-research-practicum/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://emory.gitbook.io/ai-research-practicum/research-areas.md).

# Research Areas

Explore diverse research areas within the domain of Artificial Intelligence.

In this class, you will dive deep into specific AI research areas, gaining insights into current trends and state-of-the-art approaches. This hands-on approach allows you to:

* Familiarize yourself with the current state of AI research
* Develop skills in analyzing academic conferences and literature
* Practice identifying promising research directions
* Enhance your ability to synthesize and present complex information

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## Exercise

1. Navigate to \[People] in Canvas, type "**Research**" in the search bar, and form a team of 2-3 members who share interest in the same [research area](/ai-research-practicum/research-areas/ai-conferences.md).
2. Share your findings from [HW2: Research Area](/ai-research-practicum/assignments/hw2-research-areas.md) with your teammates.
3. Discuss and synthesize your individual findings by identifying common trends, approaches, and challenges across your research.
4. Select 2-3 compelling papers to highlight, and provide a brief overview and the key aspects of each paper.
5. Create a concise slide presentation summarizing the above activities (one per group), and submit it to \[Assignments → Exercises → **Research Areas**] in Canvas.