Daniel Ambrosi

For Daniel Ambrosi, computational photography is about more than just creating a sense of place. It’s about conveying how we feel about the environment—viscerally, cognitively, and emotionally.

The Artwork

Azalea Walk
Hi Ute Ranch
Mining Nightfall
Bryant Park
Japanese Tea Garden
Guadalajara Cathedral

Abstract Dreams

2020/2021
Computational Photography + Artificial Intelligence

The next step in the evolution of our Dreamscapes project, this collection further dissociates the generated artwork from the underlying photography and toward the subconscious. These Abstract Dream video loops are designed to invoke a meditative response that yields illusions of depth perception as similar features recede or advance through changes in colors and textures. 

The Process

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About Daniel Ambrosi

Daniel Ambrosi is one of the founding creators of the emerging AI art movement and is noted for the nuanced balance he achieves in human-AI hybrid art. He has been exploring novel methods of visual presentation for almost 40 years since Cornell University, where he earned a Bachelor of Architecture degree and a Masters in 3D Graphics. In 2011, Daniel devised a unique form of computational photography that generates exceptionally immersive landscape images.

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Featured Sessions

AI Representing Natural Forms in Art

It's said that art imitates life, but what if that art is flora and fauna created by an artist using artificial intelligence? Join a discussion with artists Sofia Crespo, Feileacan McCormick, Anna Ridler, and Daniel Ambrosi and NVIDIA technical specialist Chris Hebert to explore how they use AI in their creative process of generating interpretations of natural forms.

A Conversation with Artists Using AI

This panel discussion with the GTC AI Art Gallery artists, Daniel Ambrosi, Refik Anadol, and Helena Sarin will explore their personal journeys that led to connecting AI and fine art, how the technology has influenced their artistic process, why AI is important in the broader field of fine art, how art education intersects with AI education, and whether AI will be capable of achieving autonomous control over the creative process.