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Oxia Palus



by Oxia Palus

The First NeoMaster

Painted beneath Pablo Picasso’s 1902 La Miséreuse accroupie, also known as The Crouching Beggar, lies a true hidden treasure. 

Working at the nexus of spectroscopy, artificial intelligence and art, Oxia Palus has brought to life what may be the most unusual piece of art history ever uncovered – an unforgettable slice of history that collectors can now acquire. 


Oxia Palus has one of the most unusual approaches to artistic creation. Using technologically motivated means of collaboration. Both across discipline, perspective, and time.


George holds a MSc in Space Science and Engineering from University College London (UCL) and a BSc in Mathematics and Physics from the University of Warwick and is currently a UK Space Agency PhD candidate at UCL. George’s journey into the world of AI art is circular, from art to space science to machine learning to art. His influences in AI art lie at the nexus of space exploration, dreams and science fiction.

He asks “If we could use AI to accelerate the identification and reconstruction of all art that has been lost from the world, how would this change our understanding of the history of art and society today?”


Anthony holds an MSc in machine learning from UCL, an MSc in high performance computing from the University of Edinburgh, a BA in theoretical physics from Trinity College Dublin,  and is currently a machine learning and high dimensional Neuroscience PhD candidate at UCL.

With great passion in the machine vision space and the philosophy of computation, Anthony’s interest in AI art is rooted in humankind’s perception of creativity. Since the early 1930s, the mere concept of artificial computation has been at the epicentre of thinking in mathematics and the philosophy of mind. ‘Are minds mechanical processes?’ …and therefore subject to the same incomplete properties of formal systems as set out by mathematician, Kurt Godel? Humankind’s difficulty in empathising with AI may obfuscate clear thought on this paradox. Anthony believes that interacting with AI in a creative way allows everyone to rediscover mathematics through the senses with which we most seamlessly pass information; and in a domain that we consider at the very centre of the human condition: creativity.



George and Anthony’s different backgrounds, perspectives and motivating passions for art are at the centre of Oxia Palus’ unique approach rooted in an unusual adversarial collaboration, where often competitiveness drives progress. Much like natural selection drives evolution. Often a consensus on the appropriate methods or algorithms cannot be reached and many diverse plans are implemented.

The result is a way of looking at the past that has never before been considered, with an objective that has never before been explored, using a range of technologies that have never before been combined.


Oxia Palus is an artificial intelligence startup resurrecting the world’s lost art.

In September 2019 Oxia Palus featured in MIT Technology Review for reconstructing a lost Picasso, La Femme Perdue and subsequently gained worldwide press coverage. Since then Oxia Palus has presented research at NeurIPS 2019, came 3rd in NVIDIA’s Top 10 AI  Developer Stories of 2019 and recently featured in NVIDIA’s GTC 2020 Keynote by NVIDIA CEO Jensen Huang. In May 2020 Oxia Palus joined NVIDIA’s Inception Program.

In October 2020 we were featured in NVIDIA’s GTC Inaugural AI Art Gallery to unveil Madonna, a lost Leonardo da Vinci, hidden beneath da Vinci’s Virgin of the Rocks. Oxia Palus was founded in London in January 2019 by George Cann and Anthony Bourached.