Episode Synopsis "Episode 06: Generative Adversarial Networks with Edvin Listo Zec"

Generative Adversarial Networks – or GAN – is powerful newcomer in the AI realm. GANs can be used to generate new data, that can help train new models as well as test and validate AI-based systems. Cristofer’s and Stefan’s guest this time is Edvin Listo Zec from RISE, who will discuss opportunities and risks with GANs.

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More episodes of the podcast Human-Centered Machine Learning

• Bonus Episode: Halland Tech Meet (in Swedish)
• Episode 12: Ethical Challenges in AI with Vaike Fors
• Episode 11: AI and Mobility with Sigma Dolins
• Episode 10: AI in Healthcare with Anita Sant'Anna
• Episode 09: Application – Learning and Education with Martin Cooney
• Episode 08: Agentive Technology with Chris Noessel
• Episode 07: Designing AI Services with Gustav Martner
• Episode 06: Generative Adversarial Networks with Edvin Listo Zec
• Episode 05: Deep Learning with Anders Holst
• Episode 04: Practical Machine Learning with Anders Holst
• Episode 03: Machine Learning with Anders Holst
• Episode 02: What is Artificial Intelligence? – with Anders Holst
• Episode 01: Introduction