WHO WE ARE

WHO WE ARE

 

The Collective Dreamworld Project is a collaborative experiment in shared knowledge (conscious and unconscious) between artists, software engineers, and dozens of dreamers who consistently and substantially contribute to the project. The artificial intelligence component is paramount in this experiment. Neural architecture accelerates culture. It makes the contemplation of life on Mars possible. What about other potential future worlds? Can the same technology be used to build a cosmology representative of a borderless space, albeit metaphorically?

 

This project is authored by  Gioj De Marco and Loris d'Acunto.

 

Gioj De Marco works multidisciplinary, exploring identity politics and the complex material expression of personal and cultural narratives. From object making to the production of performances and filmed content, De Marco’s work often investigates the dramatic relationship between fiction and the real, the natural and the artificial. She is currently focused on the ecology of the imaginary and the role of dreams as a resource for embodying new futures; this has led her to question the artist’s privileged ability to interfere with the perception of reality, focusing instead on a series of collaborative experiments.

 

Loris D'Acunto is an Italian entrepreneur who holds a master's degree in Nuclear Physics from the University of Trieste and one in Data Science from UC Berkeley. Having worked as Chief Technology Officer for most of his career, D'Acunto has gained a deep and practical knowledge of machine learning, big-data systems, and complex software architectures.
During this time, he founded, managed, and sold several high-tech companies, where his responsibilities included the design and the development of innovative algorithms and systems, which have been used in the financial, media, and electronic industries.
He has published two scientific papers on how doctors can use machine learning to improve accuracy in predicting the progression of glaucoma disease, has developed one of the most efficient algorithms for recognizing multimedia content through audio, and has written and owns several patents on media measurements and artificial intelligence.
Currently, D'Acunto is working on natural language processing in the capital market sector.