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Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com
Commissioned to work with SALT Research collections, artist Refik Anadol employed machine learning algorithms to search and sort relations among 1,700,000 documents. Interactions of the multidimensional data found in the archives are, in turn, translated into an immersive media installation. Archive Dreaming, which is presented as part of The Uses of Art: Final Exhibition with the support of the Culture Programme of the European Union, is user-driven; however, when idle, the installation "dreams" of unexpected correlations among documents. The resulting high-dimensional data and interactions are translated into an architectural immersive space.
Shortly after receiving the commission, Anadol was a resident artist for Google's Artists and Machine Intelligence Program where he closely collaborated with Mike Tyka and explored cutting-edge developments in the field of machine intelligence in an environment that brings together artists and engineers. Developed during this residency, his intervention Archive Dreaming transforms the gallery space on floor -1 at SALT Galata into an all-encompassing environment that intertwines history with the contemporary, and challenges immutable concepts of the archive, while destabilizing archive-related questions with machine learning algorithms.
In this project, a temporary immersive architectural space is created as a canvas with light and data applied as materials. This radical effort to deconstruct the framework of an illusory space will transgress the normal boundaries of the viewing experience of a library and the conventional flat cinema projection screen, into a three dimensional kinetic and architectonic space of an archive visualized with machine learning algorithms. By training a neural network with images of 1,700,000 documents at SALT Research the main idea is to create an immersive installation with architectural intelligence to reframe memory, history and culture in museum perception for 21st century through the lens of machine intelligence.
SALT is grateful to Google's Artists and Machine Intelligence program, and Doğuş Technology, ŠKODA, Volkswagen Doğuş Finansman for supporting Archive Dreaming.
Location : SALT Gatala, Istanbul, Turkey
Exhibition Dates : April 20 - June 11
6 Meters Wide Circular Architectural Installation
4 Channel Video, 8 Channel Audio
Custom Software, Media Server, Table for UI Interaction
For more information:
refikanadol.com/works/archive-dreaming/
Generated by MidJourney for Aaron Ximm, v3 engine, late July 2022; prompt: "intricate colorful ::burning-man-festival, illustrations, botanical illustration, earthy palette, natural dyes. Volumetric shading. Many species. Colored pencil and water color. Isometric false perspective. Long shot. Style of Rousseau, Seuss, Sendak, Arts-and-Crafts. The playa at golden hour. --ar 3:2"
A digital image 'dreamed by' Midjourney, an artificial intelligence program that creates images from textual descriptions.
Sandia National Laboratories cybersecurity expert Chris Jenkins and his team at Sandia partnered with researchers at Purdue University in West Lafayette, Indiana, to test an idea that could secure computer networks on military aircraft.
Here, Chris sits in front of a whiteboard with the original sketch of the moving target defense idea for which he is the team lead. When the COVID-19 pandemic hit, Jenkins began working from home, and his office whiteboard remained virtually undisturbed for more than two years.
Learn more at bit.ly/3IXdnO3
Photo by Craig Fritz
For all theater buffs out there - Which play by Shakespeare did I have in mind creating this picture?
This is a trickier one - Put your answers in the comments.
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Version 5.2 of Midjourney has been released, and the results are even more impressive.
A digital image 'dreamed by' Midjourney, an artificial intelligence program that creates images from textual descriptions. The technique evolves fast. Let's compare these results with the images in one year's time..
Finally getting into the October/Halloween Spirit with work from my upcoming Series: Adorable Demons
Created via my custom-coded Stable Diffusion Colab Notebook using the open sourced Stable Diffusion model v1.4.
Follow my AI / Digital / NFT Twitter at LimnDigital - twitter.com/limndigital
And you can now buy this via Digital Download or as a print on my ArtStation: www.artstation.com/limndigital/store
A digital image 'dreamed by' Midjourney, an artificial intelligence program that creates images from textual descriptions.
A digital image 'dreamed by' Midjourney, an artificial intelligence program that creates images from textual descriptions.
A digital image 'dreamed by' Midjourney, an artificial intelligence program that creates images from textual descriptions.
Sandia Labs computer scientist Vitus Leung and a team of computer scientists and engineers from Sandia and Boston University won the Gauss Award at the International Supercomputing conference for their paper about using machine learning to automatically diagnose problems in supercomputers.
Learn more at bit.ly/2hnTJgF.
Photo by Randy Montoya.
Generated by MidJourney for Aaron Ximm, v3 engine, late July 2022; prompt: "intricate colorful ::burning-man-festival, illustrations, botanical illustration, earthy palette, natural dyes. Volumetric shading. Many species. Colored pencil and water color. Isometric false perspective. Long shot. Style of Rousseau, Seuss, Sendak, Arts-and-Crafts. The playa at golden hour. --ar 3:2"
Kicking off the D-Wave Board meeting over lunch today at Goldman Sachs… with new news from Google that they demonstrated the use of D-Wave’s quantum computer to deliver photo-driven search (and improve on classical machine learning).
Here is a summary from the Google Reseach blog:
“Many Google services we offer depend on sophisticated artificial intelligence technologies such as machine learning or pattern recognition. If one takes a closer look at such capabilities one realizes that they often require the solution of what mathematicians call hard combinatorial optimization problems. It turns out that solving the hardest of such problems requires server farms so large that they can never be built. A new type of machine, a so-called quantum computer, can help here.
Today, at the Neural Information Processing Systems conference (NIPS 2009), we show the progress we have made. We demonstrate a detector that has learned to spot cars by looking at example pictures. It was trained with adiabatic quantum optimization using a D-Wave C4 Chimera chip. There are still many open questions but in our experiments we observed that this detector performs better than those we had trained using classical solvers running on the computers we have in our data centers today. Besides progress in engineering synthetic intelligence we hope that improved mastery of quantum computing will also increase our appreciation for the structure of reality as described by the laws of quantum physics.”
For all theater buffs out there - Which play by Shakespeare did I have in mind creating this picture?
Easy or not? - Put your answers in the comments.
=
Version 5.2 of Midjourney has been released, and the results are even more impressive.
A digital image 'dreamed by' Midjourney, an artificial intelligence program that creates images from textual descriptions. The technique evolves fast. Let's compare these results with the images in one year's time..
Aboard the 58th Special Operations Wing’s C-130 transport aircraft at Kirtland Air Force Base, Christy Sturgill, Jacob Hazelbaker, Eric Vugrin and Nicholas Troutman, from left to right, were part of the Sandia team working on a moving target defense that makes a computer network commonly used on space and aircraft less vulnerable to cyberattack.
Learn more at bit.ly/3IXdnO3
Photo by Craig Fritz