# Research Areas

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.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://emory.gitbook.io/ai-research-practicum/research-areas.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
