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Renaissance Dreams - Teaser V1.0
⏲ 60 sec ✓ 06-Jul-2021
Raiders of the Pottery GAN: Using 3D Generative Adversarial Networks for Data Augmentation | SciPy
⏲ 24 minutes 4 seconds 👁 2.1K
[ML 2021 (English version)] Lecture 17:Generative Adversarial Network (GAN) (4 4)
⏲ 24 minutes 41 seconds 👁 878
DATAMONOLITH AI Architectural Data Sculpture_Data Journey
⏲ 60 sec ✓ 29-Nov-2019
RAS Lab - Renaissance Dreams - AI Research
⏲ 1 min 20 sec ✓ 06-Jul-2021
Doing Nothing with AI 1.0
⏲ 48 sec ✓ 12-Feb-2019
CUSP 2019 (extract)
⏲ 1 min 20 sec ✓ 16-Mar-2019
AI DATAMAMONOLITH_Data Sculpture by Ouchhh
⏲ 87 sec ✓ 08-Oct-2022
AI_DATAMONOLITH_DUBAI
⏲ 1 min 7 sec ✓ 27-Mar-2021
MaterialGAN: Reflectance Capture using a Generative SVBRDF Model
⏲ 1 min 73 sec ✓ 02-Sep-2020
Nao Tokui Emergent Rhythm — Real-time AI Generative Live Set MUTEK.JP 2022.12.8 (digest)
⏲ 1 min 97 sec ✓ 02-Mar-2023
data：Manufactured Landscape
⏲ 3 min 91 sec ✓ 08-Apr-2014
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_renaissance-dreams-teaser-v1-0.webp "“There was a time in the ancient world - a very long time - in which the central cultural problem must have seemed an inexhaustible outpouring of books,” writes prominent Renaissance scholar Stephen Greenblatt. “Where to put them all? How to organize them on the groaning shelves? How to hold the profusion of knowledge in one’s head? The loss of this plenitude would have been virtually inconceivable to anyone living in its midst.” Centuries later, even for us who are not living in its m")
_raiders-of-the-pottery-gan-using-3d-generative-adversarial-networks-for-data-augmentation-124-scipy.webp "Enthought")
_ml-2021-english-version-lecture-17-generative-adversarial-network-gan-4-4.webp "Hung-yi Lee")
_datamonolith-ai-architectural-data-sculpture-data-journey.webp "3 BILLIONS PIXEL TRAINING BY ARTIFICIAL MACHINE INTELLIGENCE.nnDATAMONOLITH AI Architectural Data Sculpture Installation in nMori Art Museum 森美術館, TOKYO.nnAs Ouchhh, we are proud to announce that we are invited to")
_ras-lab-renaissance-dreams-ai-research.webp "“There was a time in the ancient world - a very long time - in which the central cultural problem must have seemed an inexhaustible outpouring of books,” writes prominent Renaissance scholar Stephen Greenblatt. “Where to put them all? How to organize them on the groaning shelves? How to hold the profusion of knowledge in one’s head? The loss of this plenitude would have been virtually inconceivable to anyone living in its midst.” Centuries later, even for us who are not living in its m")
_doing-nothing-with-ai-1-0.webp "“Doing Nothing with AI 1.0” is a robotic art installation that uses generative robotic control, brainwave measurements, and a generative machine learning model to optimize its flow of motions with the aim to make the interactant Do Nothing.nnIn times of constant busyness, technological overload, and the demand for permanent receptivity to information, doing nothing is not much accepted, often seen as provocative and associated with wasting time. People seem to always be in a rush, stuffing t")
_cusp-2019-extract.webp "CUSPn2019, 4K digital video with audio, 13 minute loopnnnCUSP explores the intersection between nature and machine and the interplay between two realities: one generated by human perception and experience, and the other by artificial intelligence.nnIn CUSP, 2019, a familiar childhood location on the Essex marshes is reframed by inserting images randomly generated by a neural network (GAN*) into this tidal landscape.nnInitially trained on a photographic dataset, the machine proceeds to learn the")
_ai-datamamonolith-data-sculpture-by-ouchhh.webp "DATAMONOLITH_AI Architectural Data Sculpture Installation by Ouchhh at Interval Festival.nnWhat would happen if the consciousness of the world's oldest ancient origins data and AI come together for hybrid architectural public art?nnOuchhh has created DATAMONOLITH using the world's oldest data! By using the Generative adversarial network (GAN) and Ai algorithms, we created a new Data Monolith which meant to learn from Gobeklitepe data (dating from Pre-Pottery Neolithic B, PPN; 9600–7000 calBC)n")
_ai-datamonolith-dubai.webp "What would happen if the consciousness of the world's oldest ancient origins data and AI come together for hybrid architectural public art?nnOuchhh has created DATAMONOLITH using the world's oldest data! By using the Generative adversarial network (GAN) and Ai algorithms, we created a new Data Monolith which meant to learn from Gobeklitepe data (dating from Pre-Pottery Neolithic B, PPN; 9600–7000 calBC)nnOuchhh collaborated with Massivart for ICD BROOKFIELD in Dubai.")
_materialgan-reflectance-capture-using-a-generative-svbrdf-model.webp "We address the problem of reconstructing spatially-varying BRDFs from a small set of image measurements. This is a fundamentally under-constrained problem, and previous work has relied on using various regularization priors or on capturing many images to produce plausible results. In this work, we present MaterialGAN, a deep generative convolutional network based on StyleGAN2, trained to synthesize realistic SVBRDF parameter maps. We show that MaterialGAN can be used as a powerful material prior")
_nao-tokui-emergent-rhythm-real-time-ai-generative-live-set-mutek-jp-2022-12-8-digest.webp "https://naotokui.net/works/emergent-rhythm/nn“Emergent Rhythm” is an audio-visual DJ performance using real-time AI audio generation models. Artist/DJ Tokui manipulates multiple models on stage to spontaneously generate rhythms and melodies. He then combines and mixes the generated audio loops to create musical developments.nnThis work is the third installment of his AI DJ Project, a series of attempts to explore the future of AI-based music production and live DJ performance. The project be")
_datamanufactured-landscape.webp "data：Manufactured Landscapen2014nAudiovisual Video/Live Performancen3ch Projectors Dispaly and 3.1ch multi soundn6min25sec Video LoopnnSound Artist: Gan JiannSound Track:Skyline from Ablum RipplenVisual Artists: Liu Chang, Miao JingnnCreated by Liu Chang & Miao JingnnSpecial Thanks for Wulun.org & Wulun Launch Party，New School， NYU-ITP")
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