What is art in the age of AI? (Part 1: Music)

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Mindspace Krausenstraße

Krausenstraße 9-10

10117 Berlin

Germany

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Art, previously the exclusive domain of human creativity, is transforming into something new. Is it the time we redefine art and creativity?

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"But the fact that we can build airplanes that fly faster and higher than birds does not necessarily explain how birds fly, or how they evolved to fly," says Peter Ulric Tse, a neuroscientist at Dartmouth College.

Computational creativity is a multidisciplinary endeavour that is located at the intersection of the fields of artificial intelligence, cognitive psychology, philosophy, and the arts.

In the last decade, we have experienced art being created through AI algorithms in all aspects of the creative field: from ai generated music (Daddy’s Car, a Beatles-style Song which Sony’s AI research team in 2017) to AI generated paintings (Portrait of Edmond Belamy (detail) created by GAN) and movie trailers (IBM Watson cognitive platform was used for the first ever AI-created movie trailer) and movies that won awards (see Sunspring, that got screened at the 48-Hour Film Challenge of the Sci-Fi London film festival). Art, previously the exclusive domain of human creativity, is transforming into something new.

Are machines capable of creating art? What does it take to be creative? Is it the time we redefine art and creativity?

On October 23rd at 6:00PM, Art+Tech Meetup gathers musicians and AI gurus to talk about where AI leads music creation.

Join us for an evening of inspiring talks, relaxed networking and drinks.

Agenda:

18h00 Doors open

18h20 Opening speech by Art + Tech meetup creators (Elena Poughia & Evgeniya Panova)

18h30 Keynote on AI & Creativity by Data Natives CEO Elena Poughia

18h50 Panel discussion moderated by Helen Meyer (The Venue Berlin).

Panelists:

CJ Carr (DADABOTS)

While most generative music projects use midi to make pop, classical, and electronic, DADABOTS makes raw audio neural networks generate black metal, mathcore, skate punk, beatbox, and free jazz. Their 24/7 generative death metal livestream went viral in April.

Roman Gebhardt (Data Scientist at Cyanite.ai)

Throughout his studies in computer engineering, Roman focused on the topics of Machine Learning Music Information Retrieval (MIR) early on. After finishing his M.Sc. at the department of Audio Communication at TU Berlin, followed by a year of teaching there, he started working as a Data Scientist for Groovecat. By making use of the data from this music social media platform, Roman developed an AI that powers the music analysis and recommendation platform CYANITE targeting the music industry.

Camille Van Hoffelen (Research Engineer at Seal Software Limited)

Camille is a Machine Learning Research Engineer at Seal Software, where he has spent 5 years implementing state-of-art text analytics methods and building ML infrastructure for legal AI. He graduated with an MSci in Physics from Imperial College London, where he fell in love with music creation and performance. Since then, he keeps busy with tech and multimedia side projects, and likes to stay involved in the startup community. He is driven by the impact of cutting-edge AI technologies, and strives to put these big ideas to use in the real world.

19h30 Q&A

20h00 Drinks & networking

If you are interested in speaking at this meetup, reach out to us at editor@dataconomy.com

Date and Time

Location

Mindspace Krausenstraße

Krausenstraße 9-10

10117 Berlin

Germany

View Map

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