DiscoverRead Them SidewaysEpisode 14: Machine learning and simulation with Daniel Whelan-Shamy
Episode 14: Machine learning and simulation with Daniel Whelan-Shamy

Episode 14: Machine learning and simulation with Daniel Whelan-Shamy

Update: 2024-11-17
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In this episode of Read Them Sideways, your host Kate FitzGerald speaks with Daniel Whelan-Shamy, a PhD student in the Digital Media Research Centre. They discuss Dan's PhD project, which looks at machine learning and the theoretical concept of simulation. Dan walks us through the changing definition of simulation over the centuries, and how it now applies to modern generative AI. Read Them Sideways is a podcast series from the Digital Media Research Centre, bringing our researchers to the spotlight to discuss issues that relate to communications, digital media, internet studies, and much more.

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Episode 14: Machine learning and simulation with Daniel Whelan-Shamy

Episode 14: Machine learning and simulation with Daniel Whelan-Shamy

DMRC