Machine Learning (2023) - Cameron Gurss
Автор: Cameron Gurss
Загружено: 2025-04-23
Просмотров: 20
Professor Joseph Genualdi, conductor
Cameron Gurss, violin
Emma Andersen, violin
Lily Monroe, violin
Sophia Monroe, violin
Aaron Tseng, violin
Thomas Harlan, violin
Rowan Long, violin
Vincent VanBebber, violin
Wesley Lim, violin
Matt Lee, violin
Kade Slayton, violin
Abby Ramirez, violin
This piece was inspired by the rise of artificial intelligence in the realm of creative media. Machines learn from examples and from trial and error, just like humans do, but the speed at which they learn is what separates us. This piece is meant to capture a computer’s process of learning how to compose a Bach-style chorale, beginning by hearing a brief chorale and then leading into the computer’s first creation. Gradually, the music turns from nonsense, to ordered nonsense, to melodies and harmonies, and finally to true music! Unfortunately, writing true music is too much for the computer now, and the piece ends with the computer violently crashing!
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