The new cultural-arts website is now live, offering a modern and user-friendly experience for users to explore and contribute to the cultural heritage of the world.

Cultural-Arts has created its official Hugging Face organization page to publish datasets, models, and experimental AI resources for research and cultural applications. https://huggingface.co/cultural-arts

A browser-based generative AI assistant for cultural heritage, art exploration, and creative research. Runs fully in the browser and is currently in Beta. Available in Services page!

Cultural-Arts datasets are being used to explore a compact Vision-Language Model (VLM), inspired by recent research on ultra-small multimodal architectures and their potential applications in cultural understanding. Read more on this blog post: https://www.gradients.zone/blog/a-super-small-vision-language-model/

Introduction of experimental AI services including a cultural image recognition web app and a dedicated Services page for trials and updates.

An AI moderation model that classifies uploaded images as Accepted or Garbage to protect system integrity. Open-source model weights available in Huggingface https://huggingface.co/cultural-arts/cultural-arts-shield-v0

The cultural-arts database expanded to cover all Italian regions, reaching over 80,000 artworks including monuments, buildings, and historical sites.

Foundational development phase of the AI system and service architecture for cultural-arts platform features.

Final acquisition campaign launched with 22 participants committed to the cultural-arts mission.

Seventh acquisition campaign started with 20 participants supporting the initiative.

Sixth campaign launched with 18 participants contributing to the cultural-arts vision.

Fifth acquisition campaign initiated with 15 participants joining the project.

Fourth campaign launched with 12 participants advancing the cultural-arts mission.

Third acquisition campaign began with 10 participants contributing to cultural innovation.

Second acquisition campaign launched with 8 participants joining the mission.

First acquisition campaign initiated with 5 participants starting the cultural-arts journey.

Project infrastructure moved into production, marking a key milestone in system development.

The cultural-arts project officially started, initiating its mission to merge art and technology.