“机器回忆录:空间”是我们工作室迄今为止在伊斯坦布尔举办的最全面的个展，将于2021年3月19日至4月25日在伊斯坦布尔Pilevneli画廊免费向公众开放。展览中经历的每一件作品，我们都在宇宙维度上研究了数据、记忆、知识和历史之间的关系，这些作品的灵感来自于我们自2018年以来与美国宇航局喷气推进实验室的合作。这个旅程始于工作室对该机构60年的公开空间探索档案的可视化，并将这些档案转化为数据雕塑。研究发射到外太空和其他天体的最全面的望远镜所捕捉到的图像，让我们想到了这样一个想法:望远镜会记录下我们无法到达的空间的视觉旅行日志。然后，出现了一种可能性，望远镜——尽管是人造的，但在它们的记忆中收集了如此多的图像——可以做梦。
构成这个尖端展览的作品的主要组成部分是由美国宇航局部署的卫星和航天器拍摄的所有公开的太空照片。通过利用在这个庞大的数据集上训练的机器学习算法，我们解释了基于机器的视觉推测人类探索其深度的历史尝试，揭示了模糊与开放之间的复杂联系，创造了一个抽象形式的替代数据宇宙，其中大量的视觉信息产生了开放式的美学可能性。
我们从公开的资源中获得了展览中使用的所有数据，也就是说，作品背后的每一个数据集都可以在互联网上找到。这个过程始于对NASA档案的定期审查。随后，我们借助机器智能对收集到的视觉数据进行概念分析和分类，并使用名为StyleGAN2ADA的GAN算法将每台机器的视觉记忆教授给人工智能。通过结合流体动力学算法，我们能够创造出诗意的、身临其境的体验，多年来，我们一直在我们的作品中以极大的热情使用它。Kerim Karaoğlu也使用相同的数据设计了展览中的音频体验。
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 JPL since 2018. The journey started with the studio’s visualization of the 60-year-old publicly available space exploration archives of the institution and the transformation of that archive into a data sculpture. Studying the visuals that have been captured by the most comprehensive telescopes sent to outer space and to other celestial bodies made us think about the idea that telescopes keep visual travel journals of spaces to where we cannot travel. Then, the possibility emerged that telescopes – that collect so many images in their memories, albeit artificial – could dream.
The main building blocks for the works that make up this cutting-edge exhibition are all of the publicly available photographs of space taken by satellites and spacecraft deployed by NASA. Through the utilization of machine learning algorithms trained on this enormous data set, we interpreted a machine-based visual speculation of humanity’s historical attempts to explore its depths, unveiling the intricate connections between obscurity and openness, creating an alternate data universe of abstract forms where reams of visual information produce open-ended aesthetic possibilities.
We obtained all of the data used in the exhibition from publicly available sources – that is, every data set behind the works can be found on the internet. The process began with a regular review of NASA archives. Afterwards, we analyzed and classified the collection of visual data conceptually with the help of machine intelligence and taught the visual memories of each machine to artificial intelligence with the GAN algorithm named StyleGAN2ADA. We were able to create poetic, immersive experiences by combining fluid dynamics algorithms, which we have been using with great enthusiasm in our works for years. Kerim Karaoğlu designed the audio experience in the exhibition also using the same data.
