An infinite descent shaped by a personal archive of interests and favorite moments — a table, a mountain, a stretch of beach — and rendered through a model trained on painterly style. Given any new frame, a machine detects the object that echoes that archive, and dives into it. Each dive blooms into a new world.

A recording of an Athens street, split into scenes by an audio classifier. Each sound becomes an object along the path — not the thing itself, but the feel of it: speech as lips, an engine as a car, music as a guitar — scored with a song, fragments of the original street recording surfacing beneath it.

A dandelion that breathes with sound. The structure comes from code; the bristles, depth, and glow come from a diffusion model reading each frame and adding what it imagines a real plant would have.

A series of short generative films rendered from a decade of Athens meteorological records. Temperature, wind, pressure, and rain for a single day pass through a diffusion-based video model.

Artists working with unfamiliar materials, techniques, or art-historical references constantly need to look things up — but generic search returns shallow answers and generic chatbots invent details. art-assistant retrieves passages from a curated knowledge base and returns sourced, grounded answers about materials, techniques, and process.

A weekly filter for one artist's inbox. Reads incoming arts newsletters, scores each item against a personal profile, classifies by topic and urgency, and assembles a single HTML digest of what actually matters.

A no-code companion version of this pipeline is the basis of the inbox-signal workshop.

City Flowers — a public art and urban innovation concept exploring how environmental data, collective feeling and neighbourhood identity can be translated into an immersive civic experience.

Organized by Onassis ONX, ACE and NYU Tandon School of Engineering.