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Esther Fee Reinhardt - Can machines be creative?

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Manage episode 440727389 series 3567703
Innhold levert av Universitetet i Agder. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Universitetet i Agder eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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

14 episoder

Artwork
iconDel
 
Manage episode 440727389 series 3567703
Innhold levert av Universitetet i Agder. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Universitetet i Agder eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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

14 episoder

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