The kinetic, photosensitive and adaptive model shows a type of architecture that constantly changes its morphology to adapt not only to the environment but also to human emotions.

The shape, size and speed of adaptation are controlled by an evolutionary optimization algorithm, which is a bionic technology inspired by nature. But instead of a lifetime cycle, one iteration takes just a few seconds. This algorithm follows biological criteria for life that have been transferred to architecture, such as physical irritability, and growth through tensile materials within a self-regulating system. Participants are invited to stimulate the architecture by setting it to their mood by changing the energy and light sources, as the building is intended to evolve from the climate given in this way—like plants or animals do.

Credits

Univ.-Prof. Dipl.-Arch. Dr.sc.ETH Urs Leonhard Hirschberg
Institut für Architektur und Medien, Technische Universität Graz

Priv.-Doz.in Mag.a Dr.in Doris Haas
Institut für Hygiene, Mikrobiologie und Umweltmedizin, Medizinische Universität Graz

Ao. Univ.-Prof. Mag. Dr.rer.nat. Martin Grube
Institut für Pflanzenwissenschaften, Universität Graz

Assoc. Prof. Dipl.-Ing. Dr.techn. Franziska Hederer
Institut für Raumgestaltung, Technische Universität Graz

Ao. Univ.-Prof. Priv.-Doz. Dr.phil. Werner Jauk
Institut für Musikwissenschaft, Universität Graz

Univ.-Ass. Mag. Dr.rer.nat Emanuel Jauk
Institut für Psychologie, Universität Graz

Over three months from September 2 to November 27, 2016, Recognition created a virtual gallery that ran 24 hours a day, comparing Tate’s archive and collection of British art online with the most recent news images from Reuters. The matches were based on visual and thematic similarities found by the algorithm through a multi-criteria pattern. The public could explore the virtual gallery of matches online at http://recognition.tate.org.uk and in the gallery at Tate Britain through an interactive display.

Credits

Artists: Coralie Gourguechon (FR), Monica Lanaro (IT), Angelo Semeraro (IT), Isaac Vallentin (CA).

Credits: IK Prize in partnership with Microsoft
Created by Fabrica and Jolibrain
Content Provider: Reuters

The participants can experience fluctuations in bitcoin values via sound and images in real time and interact with an automated transaction algorithm enabling them to manage bets and receive virtual payments according to their bet. In doing so the installation also raises critical questions about contemporary finance and trading systems.

Credits

Chains was developed at ZKM of Karlsruhe, Germany and was exhibited at GLOBALE: New Sensorium. It is an evolved version of the 2013 traders installation that was developed as a follow-up project and visualized Tokyo’s stock market live.

Originally inspired by the neural networks of our own brain, deep learning artificial-intelligence algorithms have been around for decades, but they are recently seeing a huge rise in popularity. This is often attributed to recent increases in computing power and the availability of extensive training data. However, progress is undeniably fueled by the multi-billion-dollar investments from the purveyors of mass surveillance: Internet companies whose business models rely on targeted, psychographic advertising, and government organizations and their War on Terror. Their aim is the automation of understanding big data, understanding text, images and sounds. But what does it mean to “understand”? What does it mean to “learn” or to “see”?

Learning to See is an ongoing series of works that use state-of-the-art machine-learning algorithms as a means of reflecting on ourselves and how we make sense of the world. The picture we see in our conscious minds is not a direct representation of the outside world, or of what our senses deliver, but of a simulated world, reconstructed according to our expectations and prior beliefs. The work is part of a broader line of inquiry about self-affirming cognitive biases, our inability to see the world from others’ point of view, and the resulting social polarization.

SAT Sept. 9, 2017

SAT Sept. 9, 2017, 3:00 PM-4:30 PM

Infos

Meeting Point: POSTCITY WE GUIDE YOU Meeting Point
Duration: 90 minutes
Language: English
Price: € 16 / € 12 reduced