Latent Heat Generation is an artistic research project investigating the hidden material infrastructures of AI systems through thermal imaging feedback loops, creating real-time feedback where computational waste heat becomes generative material for AI imagery. Developed from the vantage point of a Taiwanese artist, the work emerges from a personal dilemma: being limited by computational power while simultaneously being connected to the very infrastructure that enables AI development globally.

Latent Heat Generation / Ting-Chun Liu - Photo: Ting-Chun Liu
Exhibit
Latent Heat Generation
Ting-Chun Liu (TW)
Please note: The program for the Ars Electronica Festival 2025 is still in progress.
We are currently preparing all the information for the website and plan to put the full program online in the coming days – stay tuned!