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_machine-hallucinations-nature-dreams-ai-data-sculpture.jpg "MACHINE HALLUCINATIONS — NATURE DREAMS, designed specifically for KÖNIG GALERIE, comprises three novel aesthetic approaches to a vast photographic dataset of nature: A giant data sculpture displaying machine-generated, dynamic pigments of nature titled NATURE DREAMS, four new series of data paintings, and WINDS OF BERLIN, a site-specific, public art projection on the tower of ST. AGNES which will be created based on environmental real-time data collected from the city.nnAnadol is a pioneer in")
⏲ 8 min 59 sec ✓ 17-Dec-2021
_what-are-gans-generative-adversarial-networks.jpg "IBM Technology")
⏲ 8 minutes 23 seconds 👁 104K
_gans-for-tabular-synthetic-data-generation-7-5.jpg "Jeff Heaton")
⏲ 6 minutes 48 seconds 👁 10.6K
_datamonolith-ai-architectural-data-sculpture-installation.jpg "DATAMONOLITH_AI Architectural Data Sculpture Installation by Ouchhh in MORI MUSEUM TOKYO.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")
⏲ 60 sec ✓ 24-Nov-2019
_generate-tabular-data-using-gan-amp-projection-2d-of-data-multidimensional-data-using-umap.jpg "이성령")
⏲ 30 seconds 👁 200
_125-what-are-generative-adversarial-networks-gan.jpg "DigitalSreeni")
⏲ 12 minutes 1 second 👁 32.4K
_machine-hallucinations-iss-dreams.jpg "Machine Hallucinations - ISS Dreams transforms a vast data set of 1.2 million images captured from the International Space Stations (ISS), along with additional satellite images of Earth's topology, into a dynamic data painting. Each version of the machine’s dream sequences is derived from a different generative adversarial network (GAN) latent walk, exploring artificial intelligence’s capacity to reach its own subconscious and offering an avant- garde form of cartographic aesthetics.nn_nAbo")
⏲ 1 min 16 sec ✓ 08-Mar-2020
_implementing-a-gan-generative-adversarial-network-on-databricks-to-remove-people-from-images.jpg "Databricks")
⏲ 29 minutes 46 seconds 👁 952
_what-are-gans-124-generative-adversarial-networks-tutorial-124-deep-learning-tutorial-124-simplilearn.jpg "Simplilearn")
⏲ 9 minutes 58 seconds 👁 33.4K
_machine-memoirs-space-exhibition.jpg "Machine Memoirs: Space marked our Studio’s most comprehensive solo exhibition in Istanbul, to date, and was free to the public between March 19 – April 25, 2021 at Istanbul Pilevneli Gallery. Each work experienced in the exhibition, where we investigated the relationships between data, memory, knowledge and history in cosmic dimensions, has been inspired by our collaboration with NASA JP since 2018L. The journey started with the studio's visualization of the 60-year-old publicly available sp")
⏲ 1 min 86 sec ✓ 14-Jun-2021
_adversarially-learned-balancing-weights-for-causal-inference-the-counterfactual-chi-gan.jpg "Amelia J. Averitt, MPH MA PhD")
⏲ 16 minutes 37 seconds 👁 70
_generation-of-synthetic-financial-time-series-with-gans-casper-hogenboom.jpg "ING Analytics")
⏲ 29 minutes 3 seconds 👁 6K
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_machine-hallucinations-nature-dreams-ai-data-sculpture.webp "MACHINE HALLUCINATIONS — NATURE DREAMS, designed specifically for KÖNIG GALERIE, comprises three novel aesthetic approaches to a vast photographic dataset of nature: A giant data sculpture displaying machine-generated, dynamic pigments of nature titled NATURE DREAMS, four new series of data paintings, and WINDS OF BERLIN, a site-specific, public art projection on the tower of ST. AGNES which will be created based on environmental real-time data collected from the city.nnAnadol is a pioneer in")
_what-are-gans-generative-adversarial-networks.webp "IBM Technology")
_gans-for-tabular-synthetic-data-generation-7-5.webp "Jeff Heaton")
_datamonolith-ai-architectural-data-sculpture-installation.webp "DATAMONOLITH_AI Architectural Data Sculpture Installation by Ouchhh in MORI MUSEUM TOKYO.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")
_generate-tabular-data-using-gan-amp-projection-2d-of-data-multidimensional-data-using-umap.webp "이성령")
_125-what-are-generative-adversarial-networks-gan.webp "DigitalSreeni")
_machine-hallucinations-iss-dreams.webp "Machine Hallucinations - ISS Dreams transforms a vast data set of 1.2 million images captured from the International Space Stations (ISS), along with additional satellite images of Earth's topology, into a dynamic data painting. Each version of the machine’s dream sequences is derived from a different generative adversarial network (GAN) latent walk, exploring artificial intelligence’s capacity to reach its own subconscious and offering an avant- garde form of cartographic aesthetics.nn_nAbo")
_implementing-a-gan-generative-adversarial-network-on-databricks-to-remove-people-from-images.webp "Databricks")
_what-are-gans-124-generative-adversarial-networks-tutorial-124-deep-learning-tutorial-124-simplilearn.webp "Simplilearn")
_machine-memoirs-space-exhibition.webp "Machine Memoirs: Space marked our Studio’s most comprehensive solo exhibition in Istanbul, to date, and was free to the public between March 19 – April 25, 2021 at Istanbul Pilevneli Gallery. Each work experienced in the exhibition, where we investigated the relationships between data, memory, knowledge and history in cosmic dimensions, has been inspired by our collaboration with NASA JP since 2018L. The journey started with the studio's visualization of the 60-year-old publicly available sp")
_adversarially-learned-balancing-weights-for-causal-inference-the-counterfactual-chi-gan.webp "Amelia J. Averitt, MPH MA PhD")
_generation-of-synthetic-financial-time-series-with-gans-casper-hogenboom.webp "ING Analytics")
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