6 February — 15 March 2025
Ivona Tau
Neo Botanica. An Atlas of Artificially Generated Flora


Ivona Tau, Ph.D. is a generative A.I. artist from Vilnius, Lithuania. With over 15 years of
combined experience in professional photography and A.I. research, Tau uses neural
networks and code in experimental photography and motion painting.
Her artistic practice seeks to evoke emotions and create universally relatable memories by
transforming personal experiences captured on analogue and digital film through generative neural networks. Tau's significant achievements include winning the best award in the Digital Ars 2020 contest for art created with AI, receiving the Computer Animation category award at the Computer Space International Computer Art Forum 2021.
Ivona Tau, Ph.D. is a generative A.I. artist from Vilnius, Lithuania. With over 15 years of combined experience in professional photography and A.I. research, Tau uses neural networks and code in experimental photography and motion painting.
Her artistic practice seeks to evoke emotions and create universally relatable memories by transforming personal experiences captured on analogue and digital film through
generative neural networks. Tau's significant achievements include winning the best award in the Digital Ars 2020 contest for art created with AI, receiving the Computer Animation category award at the Computer Space International Computer Art Forum 2021.
Ivona Tau, Ph.D. is a generative A.I. artist from Vilnius, Lithuania. With over 15 years of combined experience in professional photography and A.I. research, Tau uses neural networks and code in experimental photography and motion painting.
Her artistic practice seeks to evoke emotions and create universally relatable memories by transforming personal experiences captured on analogue and digital film through generative neural networks. Tau's significant achievements include winning the best award in the Digital Ars 2020 contest for art created with AI, receiving the Computer Animation category award at the Computer Space International Computer Art Forum 2021.
Ivona Tau, Ph.D. is a generative A.I. artist from Vilnius, Lithuania. With over 15 years of combined experience in professional photography and A.I. research, Tau uses neural networks and code in experimental photography and motion painting.
Her artistic practice seeks to evoke emotions and create universally relatable memories by transforming personal experiences captured on analogue and digital film through generative neural networks. Tau's significant achievements include winning the best award in the Digital Ars 2020 contest for art created with AI, receiving the Computer Animation category award at the Computer Space International Computer Art Forum 2021.
Artworks
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Carrer Llull, 134, 08005 Barcelona, Spain
CONTACT
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OPENING HOURS
4 PM — 9 PM, Thursday–Saturday
Gallery admission is free
For collectors, artists and potential collaborators visits are available by appointment—please email us to arrange a private viewing
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@Load Gallery 2023-2025
ADDRESS
Carrer Llull, 134, 08005 Barcelona, Spain
CONTACT
visit@load-gallery.com
SIGN UP FOR UPDATES
OPENING HOURS
4 PM — 9 PM, Thursday–Saturday
Gallery admission is free
For collectors, artists and potential collaborators visits are available by appointment—please email us to arrange a private viewing
LEGAL
Privacy policy
T&C
@Load Gallery 2023-2025
ADDRESS
Carrer Llull, 134, 08005 Barcelona, Spain
CONTACT
visit@load-gallery.com
SIGN UP FOR UPDATES
OPENING HOURS
4 PM — 9 PM, Thursday–Saturday
Gallery admission is free
For collectors, artists and potential collaborators visits are available by appointment—please email us to arrange a private viewing
LEGAL
Privacy policy
T&C
@Load Gallery 2023-2025
ADDRESS
Carrer Llull, 134, 08005 Barcelona, Spain
CONTACT
visit@load-gallery.com
SIGN UP FOR UPDATES
OPENING HOURS
4 PM — 9 PM, Thursday–Saturday
Gallery admission is free
For collectors, artists and potential collaborators visits are available by appointment—please email us to arrange a private viewing
LEGAL
Privacy policy
T&C
@Load Gallery 2023-2025