141 citations · 176 across the 3 of their papers we have counts for
6 papers
Mimetic Poet
Jon McCormack, Elliott Wilson, Nina Rajcic +1
This paper presents the design and initial assessment of a novel device that uses generative AI to facilitate creative ideation, inspiration, and reflective thought. Inspired by ma…
Towards A Diffractive Analysis of Prompt-Based Generative AI
Nina Rajcic, Maria Teresa Llano, Jon McCormack
Recent developments in prompt-based generative AI has given rise to discourse surrounding the perceived ethical concerns, economic implications, and consequences for the future of…
No Longer Trending on Artstation: Prompt Analysis of Generative AI Art
Jon McCormack, Maria Teresa Llano, Stephen James Krol +1
Image generation using generative AI is rapidly becoming a major new source of visual media, with billions of AI generated images created using diffusion models such as Stable Diff…
Is Writing Prompts Really Making Art?
Jon McCormack, Camilo Cruz Gambardella, Nina Rajcic +3
In recent years Generative Machine Learning systems have advanced significantly. A current wave of generative systems use text prompts to create complex imagery, video, even 3D dat…
Message Ritual: A Posthuman Account of Living with Lamp
Nina Rajcic, Jon McCormack
As we become increasingly entangled with digital technologies, the boundary between human and machine is progressively blurring. Adopting a performative, posthumanist perspective r…
Parton Shower Uncertainties in Jet Substructure Analyses with Deep Neural Networks
James Barnard, Edmund Noel Dawe, Matthew J. Dolan +1
Machine learning methods incorporating deep neural networks have been the subject of recent proposals for new hadronic resonance taggers. These methods require training on a datase…