From Big Data and Simulation to Artificial Intelligence” by Pablo Lorenzo-Eiroa. Book Discussion New York Tech SoAD Collateral Event 18th International Architecture Exhibition – La Biennale di Venezia

The New York Institute of Technology is pleased to invite you to the "Students as Researchers: Creative Practice and University Education" Collateral Event of the 18th International Architecture Exhibition – La Biennale di Venezia - "The Laboratory of the Future" curated by Lesley Lokko. The Collateral Event, curated by Maria Perbellini with deputy curators Marcella Del Signore, Sandra Manninger, and Athina Papadopoulou is hosting a book discussion on Artificial Intelligence: “Digital Signifiers in an Architecture of Information: From Big Data and Simulation to Artificial Intelligence”by Pablo Lorenzo-Eiroa, Routledge, London 2023. The Collateral Event is located at the Armenian Culture Studies and Documentation Center, Dorsoduro 1602, Venice.

The book discusses research anticipating the roles of Big Data and Simulation necessary to activate what is being called AI. Big Data and Statistical prediction are essential to activate parallel processing emergent programming, as well as generative Artificial Intelligence. Proposing an architecture of information compatible with the 21st Century, the book takes sections through history redefining architecture theory based on Big Data forensic surveys and expanded Machine Vision simulations – exploring non-intuitive data and modeling relationships, deconstructing history to expand new possible futures.

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Cite: "From Big Data and Simulation to Artificial Intelligence” by Pablo Lorenzo-Eiroa. Book Discussion New York Tech SoAD Collateral Event 18th International Architecture Exhibition – La Biennale di Venezia" 03 Jul 2023. ArchDaily. Accessed . <https://www.archdaily.com/1002992/from-big-data-and-simulation-to-artificial-intelligence-by-pablo-lorenzo-eiroa-book-discussion-new-york-tech-soad-collateral-event-18th-international-architecture-exhibition-la-biennale-di-venezia> ISSN 0719-8884

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