Research Practicum in Artificial Intelligence
Jinho D. Choi
  • Overview
    • Syllabus
    • Schedule
    • Discussions
  • Speed Dating
    • Profiles
  • Faculty Interests
    • AI Faculty
  • Research Areas
    • AI Conferences
  • Task Selection
  • Introduction
    • Motivation
    • Overview
    • Exercise
  • Related Work
    • Literature Review
    • Exercise
  • Approach
    • Algorithm Development
    • Model Design
    • Data Creation
  • Research Challenges
  • Experiments
    • Datasets
    • Models
    • Results
    • 5.4. Homework
  • Analysis
    • Performance Analysis
    • Error Analysis
    • Discussions
    • 6.4. Homework
  • Conclusion & Abstract
    • Conclusion
    • Title & Abstract
  • Peer Review
  • Presentations
  • Team Projects
    • Fall 2023
    • Fall 2022
  • Assignments
    • HW1: Speed Dating
    • HW2: Research Areas
    • HW3: Team Promotion
    • HW4: Introduction
    • HW5: Related Work
    • HW6: Approach
    • HW7: Experiments
    • HW8: Analysis
    • HW9: Conclusion & Abstract
    • HW10: Peer Review
    • Team Project
  • Supplementary
    • LaTex Guidelines
      • Getting Started
      • File Structure
      • Packages
      • References
      • Paragraphs
      • Labels
      • Tables
      • Figures
      • Lists
    • Writing Tips
    • Progress Reports
    • Team Promotion
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  • Topic/Task Changes
  • Approach Feasibility
  • Impact and Contributions
  • Future Directions
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Research Challenges

You will engage in a critical discussion about the challenges and progress of your ongoing projects. This activity aims to encourage reflection, problem-solving, and strategic thinking about your research directions.

  1. Please discuss the following topics within your team for 15 minutes

  2. Prepare a 5-minute presentation summarizing your discussion.

  3. Submit your slides to [Assignments → Exercises → Research Challenges] in Canvas.

Topic/Task Changes

  • Describe your original topic/task and how it has evolved.

  • Explain the reasons for any changes in research direction.

  • Reflect on what you'd do differently when selecting future research topics.

Approach Feasibility

  • Evaluate the feasibility of your current approach to produce meaningful results by the semester's end.

  • Detail your methods, including data, algorithms, models, and computing resources.

  • If needed, propose revisions to make your project more feasible.

Impact and Contributions

  • Compare your original expected contributions with your current goals.

  • Based on your comprehensive literature survey, identify what additional work might be needed for potential publication in top-tier conferences.

Future Directions

  • Honestly assess your interest in extending this research beyond the semester.

  • If interested, outline potential ways to further advance the research.

  • Suggest entry points for newcomers interested in this topic.

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Last updated 7 months ago