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A.rt I.ntel: Machine Learning for Artists

Instructors

  • No instructors.

Description

Artificial intelligence and machine learning algorithms affect many aspects of our lives whether we realize it or not: banking transactions, healthcare treatments and diagnoses, entertainment recommendations, smart car functionality, customer service agents, financial trading… the list goes on and on. The power of these algorithms lies in their ability to leverage computers to "study" and "learn". Instead of programming a computer to do a specific task, we program the computer to train itself how to do any number of tasks. As artists, how can we harness the power of these algorithms and apply them towards creative endeavors? This class will explore that basic question. Through a combination of high level applied machine learning techniques, speculative design of artificial intelligence, and some basic understanding of how these algorithms work at a low level, students will explore this rich new field. With their machine counterparts, they will create images, sounds, text, intuitive interactions, chatbots, and more.

Learning Outcomes

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Topic Outlines

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Readings

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Grading Rubric

No grading rubric.

Assignments

  • Attendance: 10%
  • Participation: 10%
  • Documentation and Reading Responses: 20%
  • Exercises: 20%
  • Projects: 40%

Other

No other.

Course Resources

University website

Uploaded by Common Syllabi on 2023-04-20