64/1 And Harshit Agrawal

This artwork helps to understand and showcase how people of India represent gender visually by collecting a dataset of drawings and using AI to generate a spectrum of gender forms as a circular tapestry.

The Artwork

The Books

The Process

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The artists collect a dataset made up of ~2300 hand drawn figures of standing female and male forms by people of India from all walks of life. Every individual contributing to the dataset draws both a female and male figure. Roughly half the collection was done in person (using a black marker pen on two white papers for female and male) and half using Mechanical Turk (mimicking the real-world data collection setup).

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A GAN (NVIDIA StyleGAN 2) is trained on the dataset of gender drawings. The GAN outputs are fed through a binary classifier trained on the collected dataset to classify the outputs as either female or male with a certain confidence level. This spread of gender representation generated by the GAN is used to create the final circular tapestry—from 100% female in the centre to 0% at the outermost radius.

Artist collective 64/1 is Karthik Kalyanaraman and Raghava KK

About 64/1

64/1 is an arts research and curatorial collective founded by brothers Karthik Kalyanaraman and Raghava KK that focuses on blurring the boundaries between art, art criticism, and art education.

Karthik is a conceptual artist, writer, and former academic whose PhD (Harvard) in Econometrics produced key research on establishing causality in statistics. Aside from teaching at UCL he has worked for a top political think tank in the US and has published works on social network analysis and aesthetic theory.

Raghava KK is an acclaimed artist who has worked in multiple disciplines. His work traverses traditional forms of painting, installation, and performance while also embracing new media to express post-human contemporary realities. He figured on CNN’s 2010 list of the 10 most remarkable people of the year and the 2020 Netflix documentary, The Creative Indians.

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About Harshit Agrawal

Harshit is an India-based artist working with artificial intelligence and emerging technologies. He uses machines and algorithms and often creates them as an essential part of his art process.  

His work is part of the permanent exhibition at the largest computer science museum in the world, HNF museum in Germany. He was the only Indian among seven international AI art pioneers in one of the world’s first AI art shows in a contemporary gallery—Gradient Descent at Nature Morte. He has exhibited work at other premier venues like the Ars Electronica Festival (Austria), Asia Culture Center (Gwangju Korea), and Museum of Tomorrow (Brazil), among others. His work has also been covered in international media including the BBC, New York Times, and Stir World and he has given several talks on the subject of AI art, including three TEDx talks.

He graduated from the MIT Media Lab and IIT Guwahati. Along with his art practice, he has authored several publications and patents about his work at the intersection of human computer interaction and creative expression. 

Instagram | Twitter | harshitagrawal.com

Harshit Agrawal

Featured Sessions

Art in Light of AI

AI can be used by artists as a tool, a collaborator, or a muse, influencing their artwork in different stages of their process. This panel of artists from around the globe will compare how they combine their fine art backgrounds with their futuristic art practices.

Aiva

Meet AIVA, an AI music composer trained on thousands of scores of music, with a mission to empower individuals by creating their own personalized soundtracks.

The Tracks

Playlist: Landing on Mars, Random Access Memory, 4-32.vACCESS_DENIED_99161.wav, Euphoria  

2020/2021
Artificial Intelligence Virtual Artist-Composed Music  

The Experience

The Process

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About Pierre Barreau

Pierre is co-founder and CEO of AIVA, the artificial intelligence composing emotional soundtrack music. As a computer scientist, award-nominated film director, and registered composer, Pierre leads the company towards its vision: empowering individuals by creating personalized soundtracks with AIVA. 

Website | YouTube

About Denis Shtefan

Denis is co-founder and CTO of AIVA. As a published researcher and composer, Denis is leading the research and development efforts to solve the most challenging problems in the fast-evolving field of creative and personalized music generation using AI technologies.

 

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Featured Sessions

Music Making Workshop

This year, we're inviting the team from AIVA to lead a workshop using their web-based music app. You'll learn about how the app works, tips for getting the best results, and applications for AI-generated music.

10 Minutes: A Musical Mars Landing

AI-composed cinematic music inspired by the Mars landing

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.

dreamscapes.ai | Twitter | Instagram | Facebook

Featured Sessions

Dinner with Strangers: Digital to Physical...and Back Again

Artists Pindar Van Arman and Daniel Ambrosi take very different approaches to using artificial intelligence in their artworks, but they have a shared focus on making physical AI-augmented artifacts. According to the artists, we are three-dimensional creatures living in a 3D world, but we experience that world entirely within our unlit skulls. Does it or should it matter whether the art artifact is comprised of bits or atoms?

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.

1 Minute: Meditation on a Deep Dream Landscape

Unwind into an abstract dream of a Japanese Tea Garden by Daniel Ambrosi

REFIK ANADOL

By combining advanced neuroimaging techniques with cutting-edge AI and multi-modal data visualization tools, Refik Anadol Studio explores the architecture of the human brain from an interdisciplinary perspective. 

The Experience

The Process

MACHINE HALLUCINATIONS

The Process

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About Refik Anadol

Refik Anadol is a media artist, director, and pioneer in the aesthetics of machine intelligence that explores the intersection of humans and machines. In taking the data that flows around us as his primary material and the neural network of a computerized mind as his collaborator, Refik offers radical visualizations of our digitized memories and the possibilities of architecture, narrative, and the body in motion. His site-specific parametric data sculptures, live audio/visual performances, and immersive installations take many forms, while encouraging us to rethink our engagement with the physical world, its temporal and spatial dimensions, and the creative potential of machines. 

Studio Team: Alex Morozov, Arda Mavi, Carrie He, Christian Burke, Danny Lee, Efsun Erkilic, Ho Man Leung, Kerim Karaoglu, Kyle McLean, Nicholas Boss, Nidhi Parsana, Pelin Kivrak, Raman K. Mustafa, Rishabh Chakarabarty, Toby Heinemann

refikanadol.com | InstagramTwitter | Vimeo | YouTube  

Featured Sessions

Building an AI Data Sculpture from Brain Waves

Refik Anadol Studio (RAS) embarks upon a new journey to explore the architecture of the human brain by combining advanced neuroimaging techniques with cutting-edge AI and multi-modal data visualization tools.

Sofia Crespo And Entangled Others Studio

Can artificial lifeforms help us rethink our connection with nature? Sofia Crespo and Entangled Others Studio use the lens of new technology to explore how life forms built on AI in the digital world can help us explore our common bonds.

The Experience

The Process

The Experience

The Process