Die erste Fotodokumentation der Berliner Clubszene vom Mauerfall bis heute mit Arbeiten u. a. von Wolfgang Tillmans, Sven Marquardt, Martin Eberle, Carolin Saage, Silva Giovanna. Kaum war 1989 die Mauer gefallen, füllten sich in Berlin leerstehende Gebäude, Fabriken und Flächen mit neuem Leben. Überall entstanden Clubs, Bars, Galerien, Ateliers und Studios. Diese junge Club- und Kulturszene entwickelte sich zum Motor für die Wiederbelebung der Stadt und die Neuausrichtung einer ganzen Generation junger Kreativer. Die Berliner Szene hat Techno zwar nicht erfunden, dennoch lässt sich das, was auf Veranstaltungen wie Tekknozid und in Clubs wie dem Ufo, Tresor und Planet ab 1989 geschah, rückblickend als Urknall und Wegbereitung für die bislang letzte große europäische Jugendkultur beschreiben. Mit visuellen und künstlerischen Ansätzen bewegte sich das Berliner Clubleben im Grenzbereich zwischen Video, Film, Projektion und Musik und bot vielen aufstrebenden Künstler*innen neue Perspektiven und Räume für Austausch, Begegnung und gemeinsames Feiern. Um die Jahrtausendwende lockte eine neue Generation von Clubs mit nie enden wollenden Partys Wochenende für Wochenende tausende von Technofans aus der ganzen Welt in die Hauptstadt und gab dem Sound der Stadt stetig neue Impulse – ein Prozess, der bis heute anhält.
Heiko Hoffmann Book order
Heiko Hoffmann brings a unique perspective to his work, shaped by his deep understanding of complex systems and artificial intelligence. His writing often explores the intersection of technology and the human experience, bridging the gap between science and art. Hoffmann's style is analytical yet insightful, offering readers a compelling look at the world around us. His work is thought-provoking and leaves a lasting impression.






- 2019
- 2017
White Pumpkin Seed
- 118 pages
- 5 hours of reading
Set against the backdrop of Taiwan from 1978 to 1989, the narrative follows Vanessa, an Australian girl raised by local farmers. Her upbringing is rich with love, beauty, and the harsh realities of life. Music becomes her outlet for expressing both joy and sorrow, captivating those around her. As she navigates her emotional landscape, Vanessa embarks on a journey that leads to unexpected revelations, offering readers a poignant glimpse into Taiwanese culture through her heartwarming experiences.
- 2005
Unsupervised learning of visuomotor associations
- 188 pages
- 7 hours of reading
Several scientists have proposed that perception in biological agents arises not solely from bottom-up processes but also from the interplay between motor commands and their sensory outcomes. While this idea has largely remained theoretical, the current work validates it through practical application in robotic control. The foundation for shape and space perception lies in visuomotor associations, which this thesis aims to learn in an unsupervised manner. Initially, an agent gathers motor and sensory data through random exploration, creating a high-dimensional data space encompassing all sensory and motor variables. During training, this data distribution is modeled using local principal component analyzers (local PCA) or kernel PCA. Subsequently, a recall mechanism is employed to complete partial patterns; for instance, given visual input about an object, the system generates a corresponding robot-arm posture for grasping it, akin to recall in recurrent neural networks. This method offers two key advantages: flexibility in input and output dimensions post-training, and resilience against variations in output patterns for the same input. Furthermore, the thesis illustrates that certain perceptual tasks can be addressed using forward models, which predict sensory input based on current sensory data and motor commands, allowing for mental simulation of movements. For example, a mobile robot can determine its position within a ci