Anton Ginzburg Surface March 13—June 16, 2024 By employing algorithms to expand on the formal elements of art, its consumption, and transmutation, Ginzburg underlines the ever-evolving meaning of representation, data visualization and automatization in our digital age. The three bodies of work presented, deliberate on surfaces that range from the architectural to the digital screen and beyond, and are especially relevant to the growing conversations around the role and ethics of AI. The 2D paintings in the Yerevan series, the 3D sculptural forms in Film Forms and the 4D (moving image) generated video in ML CRSH, all use algorithms to comment on the role and agency of algorithms themselves. And in so doing, they articulate the patterns and relationships that define what we now know as ‘algorithmic culture.’ What are the hierarchies and narratives that these systems perpetuate and grow, and what do they reveal about larger data networks within which they play a part?
Anton Ginzburg
Surface
March 13—June 16, 2024
Anton Ginzburg: Surface is a reflection on the use of technology as it relates to cultural labour, data aesthetics and machine learning. By employing algorithms to expand on the formal elements of art, its consumption, and transmutation, Ginzburg underlines the ever-evolving meaning of representation, data visualization and automatization in our digital age. The three bodies of work presented, deliberate on surfaces that range from the architectural to the digital screen and beyond, and are especially relevant to the growing conversations around the role and ethics of AI.
The 2D paintings in the Yerevan series, the 3D sculptural forms in Film Forms and the 4D (moving image) generated video in ML CRSH, all use algorithms to comment on the role and agency of algorithms themselves. And in so doing, they articulate the patterns and relationships that define what we now know as ‘algorithmic culture.’ What are the hierarchies and narratives that these systems perpetuate and grow, and what do they reveal about larger data networks within which they play a part?
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The goal of this course is to get you versed in the language and mechanics of venture finance, so that you can make direct investments into startups that you really believe in, or take equity for your consulting services..
The goal of this course is get you so versed and so comfortable with the language and mechanics of raising money that a VC would be surprised by you – the more that you can speak their language, the more likely you are to raise more money on better terms.