Deep Meditations: We are all connected #08 - Avril 14.mp4, 2020

From Deep Meditations: We are all connected series

Video work with music

Unique

PRICE: 6 ETH

If you are interested in this work and would like to pay in ETH, please email us at info@katevassgalerie.com and transfer the amount to our wallet HERE.

Description:

Deep Meditations is a series of works that exist in various forms, primarily a large-scale video and sound installation; a multi-channel, long-form abstract film; a monument that celebrates life, nature, the universe and our subjective experience of it. The work invites us on a spiritual journey through slow, meditative, continuously evolving images and sounds, told through the imagination of a deep artificial neural network.

We are invited to acknowledge and appreciate the role we play as humans as part of a complex ecosystem heavily dependent on the balanced co-existence of many components. The work embraces and celebrates the interconnectedness of all human, non-human, living and non living things across many scales of time and space – from microbes to galaxies.

Exhibited at Untitled Miami Art Fair, Miami, Kate Vass Galerie Booth A43, December 2024

Deep Meditations: We are all connected #06 - Plug me in.mp4

From Deep Meditations: We are all connected series

Video work with music

Unique

PRICE: 6 ETH

If you are interested in this work and would like to pay in ETH, please email us at info@katevassgalerie.com and transfer the amount to our wallet HERE.

Description:

Deep Meditations is a series of works that exist in various forms, primarily a large-scale video and sound installation; a multi-channel, long-form abstract film; a monument that celebrates life, nature, the universe and our subjective experience of it. The work invites us on a spiritual journey through slow, meditative, continuously evolving images and sounds, told through the imagination of a deep artificial neural network.

We are invited to acknowledge and appreciate the role we play as humans as part of a complex ecosystem heavily dependent on the balanced co-existence of many components. The work embraces and celebrates the interconnectedness of all human, non-human, living and non living things across many scales of time and space – from microbes to galaxies.

Exhibited at Untitled Miami Art Fair, Miami, Kate Vass Galerie Booth A43, December 2024

SOLD

Deep Meditations: We are all connected #05 - Mad World.mp4, 2020

From Deep Meditations: We are all connected series

Video work with music

Unique

If you are interested in this work and would like to pay in ETH, please email us at info@katevassgalerie.com and transfer the amount to our wallet HERE.

Description:

Deep Meditations is a series of works that exist in various forms, primarily a large-scale video and sound installation; a multi-channel, long-form abstract film; a monument that celebrates life, nature, the universe and our subjective experience of it. The work invites us on a spiritual journey through slow, meditative, continuously evolving images and sounds, told through the imagination of a deep artificial neural network.

We are invited to acknowledge and appreciate the role we play as humans as part of a complex ecosystem heavily dependent on the balanced co-existence of many components. The work embraces and celebrates the interconnectedness of all human, non-human, living and non living things across many scales of time and space – from microbes to galaxies.

Exhibited at Untitled Miami Art Fair, Miami, Kate Vass Galerie Booth A43, December 2024

Deep Meditations: We are all connected #04 - Underworld.mp4, 2020

From Deep Meditations: We are all connected series

Video work with music

Unique

PRICE: 6 ETH

If you are interested in this work and would like to pay in ETH, please email us at info@katevassgalerie.com and transfer the amount to our wallet HERE.

Description:

Deep Meditations is a series of works that exist in various forms, primarily a large-scale video and sound installation; a multi-channel, long-form abstract film; a monument that celebrates life, nature, the universe and our subjective experience of it. The work invites us on a spiritual journey through slow, meditative, continuously evolving images and sounds, told through the imagination of a deep artificial neural network.

We are invited to acknowledge and appreciate the role we play as humans as part of a complex ecosystem heavily dependent on the balanced co-existence of many components. The work embraces and celebrates the interconnectedness of all human, non-human, living and non living things across many scales of time and space – from microbes to galaxies.

Exhibited at Untitled Miami Art Fair, Miami, Kate Vass Galerie Booth A43, December 2024

BigGAN Study #4 - BigGAN Madness.mp4, 2018

From #BigGAN Studies series with music

Video work

Unique

PRICE: 6 ETH

If you are interested in this work and would like to pay in ETH, please email us at info@katevassgalerie.com and transfer the amount to our wallet HERE.

Description:

A number of experiments in audio-reactive, automated – and controlled – traversal of the latent space of a large generative adversarial network (in this case, the model known as BigGAN by Google Deepmind). These videos use many different methods of navigating the latent space. Each video uses a different form of audio reactive traversal, and some additionally use a custom controlled method. Many BigGAN (or other GAN) music videos followed, but these are the very first – at least to be posted publicly.

Exhibited at Untitled Miami Art Fair, Miami, Kate Vass Galerie Booth A43, December 2024

BigGAN Study #2 - It's more fun to compute.mp4, 2018

From #BigGAN Studies series with music

Video work

Unique

PRICE: 6 ETH

If you are interested in this work and would like to pay in ETH, please email us at info@katevassgalerie.com and transfer the amount to our wallet HERE.

Description:

A number of experiments in audio-reactive, automated – and controlled – traversal of the latent space of a large generative adversarial network (in this case, the model known as BigGAN by Google Deepmind). These videos use many different methods of navigating the latent space. Each video uses a different form of audio reactive traversal, and some additionally use a custom controlled method. Many BigGAN (or other GAN) music videos followed, but these are the very first – at least to be posted publicly.

Exhibited at Untitled Miami Art Fair, Miami, Kate Vass Galerie Booth A43, December 2024

SOLD OUT

‘Learning to see: Gloomy Sunday’, 2017

Part - ‘Earth’

Price: 8 ETH

https://vimeo.com/260612034

original video divided into 4 chapters: Fire, Water, Air, Earth(Flower)
1ch HD Video

unique 1/1 video as NFT minted on artist's own smart contract on Ethereum

Exhibited at “Automat und Mensch” show, Zürich, Kate Vass Galerie, 2019

Description:

Learning to See is an ongoing collection of works that use state-of-the-art machine learning algorithms to reflect on ourselves and how we make sense of the world. The picture we see in our conscious mind is not a mirror image of the outside world, but is a reconstruction based on our expectations and prior beliefs. An artificial neural network looks out onto the world, and tries to make sense of what it is seeing. But it can only see through the filter of what it already knows. Just like us. Because we too, see things not as they are, but as we are.

In this context, the term seeing, refers to both the low level perceptual and phenomenological experience of vision, as well as the higher level cognitive act of making meaning, and constructing what we consider to be truth. Our self affirming cognitive biases and prejudices, define what we see, and how we interact with each other as a result, fuelling our inability to see the world from each others’ point of view, driving social and political polarization. The interesting question isn’t only “when you and I look at the same image, do we see the same colors and shapes”, but also “when you and I read the same article, do we see the same story and perspectives?”. Everything that we see, read, or hear, we try to make sense of by relating to our own past experiences, filtered by our prior beliefs and knowledge. In fact, even these sentences that I’m typing right now, I have no idea, what any of it means to you. It’s impossible for me to see the world through your eyes, think what you think, and feel what you feel, without having read everything that you’ve ever read, seen everything that you’ve ever seen, and lived everything that you’ve ever lived. Empathy and compassion are much harder than we might realize, and that makes them all the more valuable and essential.

SOLD OUT

‘Learning to see: Gloomy Sunday’, 2017

Part- ‘Air’

Price: 8 ETH

https://vimeo.com/260612034

original video divided into 4 chapters: Fire, Water, Air, Earth(Flower)
1ch HD Video

unique 1/1 video as NFT minted on artist's own smart contract on Ethereum

Exhibited at “Automat und Mensch” show, Zürich, Kate Vass Galerie, 2019

Description:

Learning to See is an ongoing collection of works that use state-of-the-art machine learning algorithms to reflect on ourselves and how we make sense of the world. The picture we see in our conscious mind is not a mirror image of the outside world, but is a reconstruction based on our expectations and prior beliefs. An artificial neural network looks out onto the world, and tries to make sense of what it is seeing. But it can only see through the filter of what it already knows. Just like us. Because we too, see things not as they are, but as we are.

In this context, the term seeing, refers to both the low level perceptual and phenomenological experience of vision, as well as the higher level cognitive act of making meaning, and constructing what we consider to be truth. Our self affirming cognitive biases and prejudices, define what we see, and how we interact with each other as a result, fuelling our inability to see the world from each others’ point of view, driving social and political polarization. The interesting question isn’t only “when you and I look at the same image, do we see the same colors and shapes”, but also “when you and I read the same article, do we see the same story and perspectives?”. Everything that we see, read, or hear, we try to make sense of by relating to our own past experiences, filtered by our prior beliefs and knowledge. In fact, even these sentences that I’m typing right now, I have no idea, what any of it means to you. It’s impossible for me to see the world through your eyes, think what you think, and feel what you feel, without having read everything that you’ve ever read, seen everything that you’ve ever seen, and lived everything that you’ve ever lived. Empathy and compassion are much harder than we might realize, and that makes them all the more valuable and essential.

SOLD OUT

‘Learning to see: Gloomy Sunday’, 2017

Part - ‘Fire’

Price: 8 ETH

https://vimeo.com/260612034

original video divided into 4 chapters: Fire, Water, Air, Earth(Flower)
1ch HD Video

unique 1/1 video as NFT minted on artist's own smart contract on Ethereum

Exhibited at “Automat und Mensch” show, Zürich, Kate Vass Galerie, 2019

Description:

Learning to See is an ongoing collection of works that use state-of-the-art machine learning algorithms to reflect on ourselves and how we make sense of the world. The picture we see in our conscious mind is not a mirror image of the outside world, but is a reconstruction based on our expectations and prior beliefs. An artificial neural network looks out onto the world, and tries to make sense of what it is seeing. But it can only see through the filter of what it already knows. Just like us. Because we too, see things not as they are, but as we are.

In this context, the term seeing, refers to both the low level perceptual and phenomenological experience of vision, as well as the higher level cognitive act of making meaning, and constructing what we consider to be truth. Our self affirming cognitive biases and prejudices, define what we see, and how we interact with each other as a result, fuelling our inability to see the world from each others’ point of view, driving social and political polarization. The interesting question isn’t only “when you and I look at the same image, do we see the same colors and shapes”, but also “when you and I read the same article, do we see the same story and perspectives?”. Everything that we see, read, or hear, we try to make sense of by relating to our own past experiences, filtered by our prior beliefs and knowledge. In fact, even these sentences that I’m typing right now, I have no idea, what any of it means to you. It’s impossible for me to see the world through your eyes, think what you think, and feel what you feel, without having read everything that you’ve ever read, seen everything that you’ve ever seen, and lived everything that you’ve ever lived. Empathy and compassion are much harder than we might realize, and that makes them all the more valuable and essential.

AUTOPOEISIC TRANSMOGRIFICATION FRAGMENT #006,

NFT, Open Edition

MP4 file

Price: 0.04 ETH

Link: https://app.manifold.xyz/c/Memo-Akten-FRK

SOLD OUT

‘Learning to see: Gloomy Sunday’, 2017

Part- ‘Water’ 8 ETH

https://vimeo.com/260612034

original video divided into 4 chapters: Fire, Water, Air, Earth(Flower)
1ch HD Video

unique 1/1 video as NFT minted on artist own smart contract on etherium

Exhibited at “Automat und Mensch” show, Zürich, Kate Vass Galerie, 2019

Description:

Learning to See is an ongoing collection of works that use state-of-the-art machine learning algorithms to reflect on ourselves and how we make sense of the world. The picture we see in our conscious mind is not a mirror image of the outside world, but is a reconstruction based on our expectations and prior beliefs. An artificial neural network looks out onto the world, and tries to make sense of what it is seeing. But it can only see through the filter of what it already knows. Just like us. Because we too, see things not as they are, but as we are.

In this context, the term seeing, refers to both the low level perceptual and phenomenological experience of vision, as well as the higher level cognitive act of making meaning, and constructing what we consider to be truth. Our self affirming cognitive biases and prejudices, define what we see, and how we interact with each other as a result, fuelling our inability to see the world from each others’ point of view, driving social and political polarization. The interesting question isn’t only “when you and I look at the same image, do we see the same colors and shapes”, but also “when you and I read the same article, do we see the same story and perspectives?”. Everything that we see, read, or hear, we try to make sense of by relating to our own past experiences, filtered by our prior beliefs and knowledge. In fact, even these sentences that I’m typing right now, I have no idea, what any of it means to you. It’s impossible for me to see the world through your eyes, think what you think, and feel what you feel, without having read everything that you’ve ever read, seen everything that you’ve ever seen, and lived everything that you’ve ever lived. Empathy and compassion are much harder than we might realize, and that makes them all the more valuable and essential.

‘A black cat sitting on top of a stone wall’, 2017

Hahnemühle Photo Rag Fine Art Print
Image 60x60 cm on 70x70cm paper
Edition of 1

Exhibited at “Automat und Mensch” show, Zürich, Kate Vass Galerie, 2019