MEMORY RECALL

The project emerges from a reflection on how memory forms and transforms over time, developed alongside a broader inquiry into the growing use of AI to reanimate historical images. Working from a written script, a voiceover was synthesized through an AI model trained on the artist’s own voice — anchoring the work in a specifically human register from its inception.

The first channel draws from the Foundation’s photographic archives: images selected for their resonance with the script, presented as historical traces — fragments of what was once recorded.

In the second channel, these same photographs are animated through AI, generating speculative extensions that move beyond what the original image contains. This process reveals how machine intelligence fills absence with inference and probability rather than knowledge or feeling.

The third channel was built from a different kind of source. As the archival and AI-generated sequences were observed and edited, memories and sensations surfaced and were recorded in a personal diary. From these notes, and a private photographic archive, a custom AI model was trained to animate fragments of lived memory — producing a subjective layer that evokes what no archive can store: emotion, intuition, and embodied experience.

Unfolding as a constellation rather than a linear narrative, Memory Recall reflects on how memory, technology, and perception intertwine — suggesting that cultural memory is not fixed documentation but a living process, shaped through images, bodies, technology, and time.

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