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Esther Fee Reinhardt - Can machines be creative?

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Content provided by Universitetet i Agder. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Universitetet i Agder or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

Learn about how AI mimics human creativity by selecting and combining impression molecules and answers to the question “is there anything unique about human creativity that AI can't capture?”

Dr. Esther Fee Reinhardt is an expert in AI and sound. She studied computer science and musicology at the Julius-Maximilians-University in Würzburg.

She completed her doctorate at the International Audio Laboratories Erlangen. Her research focuses on timbre analysis in audio signals using feature-based approaches and optimized artificial neural networks.

As an improvisation coach and composer, she is intensively involved with human creativity and relates this to the current mechanisms underlying hypothetically creative AI systems.

  continue reading

19 episoade

Artwork
iconDistribuie
 
Manage episode 440727389 series 3567703
Content provided by Universitetet i Agder. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Universitetet i Agder or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

Learn about how AI mimics human creativity by selecting and combining impression molecules and answers to the question “is there anything unique about human creativity that AI can't capture?”

Dr. Esther Fee Reinhardt is an expert in AI and sound. She studied computer science and musicology at the Julius-Maximilians-University in Würzburg.

She completed her doctorate at the International Audio Laboratories Erlangen. Her research focuses on timbre analysis in audio signals using feature-based approaches and optimized artificial neural networks.

As an improvisation coach and composer, she is intensively involved with human creativity and relates this to the current mechanisms underlying hypothetically creative AI systems.

  continue reading

19 episoade

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