×
7 artists at NVIDIA GTC Paris redefine AI as creative collaborator
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

NVIDIA GTC Paris will feature an AI art gallery showcasing seven exhibitors who use artificial intelligence as a creative partner, from French artist aurèce vettier who trains AI on personal data to create dreamlike oil paintings to Senegalese artist Linda Dounia Rebeiz who documents extinct West African flora. The exhibition, taking place June 10-12 at VivaTech, demonstrates how AI is evolving from a simple tool into what artists describe as “a poetic counterpart in the act of creation,” offering new methods for exploring memory, identity, and creative expression.

What you should know: The gallery brings together diverse artistic practices that challenge traditional boundaries between human creativity and machine learning.

  • aurèce vettier (artist Paul Mouginot) trains generative AI models on childhood photos and recent images to create speculative “sur-nature” forms, then transforms the AI-generated dreamlike scenarios into oil paintings.
  • Linda Dounia Rebeiz’s “Once Upon a Garden” creates an explorable archive of critically endangered and extinct flora from West Africa’s Sahel region, generating 10,000 images to preserve biodiversity knowledge.
  • Entangled Others Studio’s “Self-Contained” uses NVIDIA GPUs and StyleGAN2 to splice images into visual “genomes,” with one version stored in DNA form within a sculptural capsule.

The big picture: Artists are positioning AI as more than automation, viewing it as a collaborative partner that reveals unexpected creative possibilities while addressing broader cultural and scientific challenges.

What they’re saying: The artists emphasize AI’s role as a creative collaborator rather than replacement.

  • “When an AI is trained on deeply personal data, it stops being just a tool,” said aurèce vettier. “It becomes a reflective device for poetic speculation.”
  • “You can design a system, feed it your own vision or data, and then be surprised by an outcome that doesn’t merely reflect your intention, but reveals something unexpected,” explained fuse* studio founders Mattia Caretti and Luca Camellini.
  • “AI showed me all sorts of clichés that are present in our advertising language,” said Jeroen van der Most about his “Vegetable Vendetta” project. “It’s an incredible mirror of who we are and what we desire.”

Fashion innovation spotlight: Leading fashion institutions will showcase student work exploring AI’s role in design and conceptual exploration.

  • Institut Français de la Mode professor Giovanna Casamiro emphasizes treating “AI as an improvisational partner — one that brings unpredictability, but not authorship.”
  • London College of Fashion’s Matthew Drinkwater sees AI enabling instant concept testing where “aesthetics can be refined before a single garment is produced.”

Key technical applications: The exhibited works demonstrate sophisticated AI implementations across creative disciplines.

  • fuse*’s “Onirica ()” uses a text-to-image diffusion model trained on over 28,000 dreams from neurological datasets at the University of Bologna.
  • Multiple artists leverage NVIDIA GPUs and StyleGAN2 for complex visual transformations.
  • Projects range from memory preservation to scientific visualization, showing AI’s versatility in artistic contexts.

Why this matters: The exhibition positions AI as a cultural bridge between technology and human expression, moving the conversation beyond traditional art spaces to engage broader audiences in understanding AI’s creative potential and limitations.

Artists, Fashion Designers Tap State-of-the-Art AI for NVIDIA GTC Paris Gallery

Recent News

Study reveals 4 ways AI is transforming sexual wellness

AI-powered tools offer relationship advice rated more empathetic than human responses.

In the Money: Google tests interactive finance charts in AI Mode for stock comparisons

Finance queries serve as Google's testing ground for broader data visualization across other subjects.

30 mathematicians met in secret to stump OpenAI. They (mostly) failed.

Mathematicians may soon shift from solving problems to collaborating with AI reasoning bots.