Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
A History of Artificially Intelligent Architecture: Case Studies from the USA, UK, Europe and Japan, 1949-1987 provides a comprehensive survey of architectural projects exhibiting intelligence since the Late First Century right up to the present day.
Tracing the social, scientific and technological developments, this book analyses case studies from both conceived and executed architectural projects by Architects and Cyberneticians from the United States, United Kingdom, Europe and Japan from 1949-87. From the Late First Century through to the Seventeenth Century, the scientific endeavors of the Hero of Alexandria, Ramon Llull, Paracelsus, René Descartes, Jacques de Vaucanson, Pierre Jacquet-Droz, and Charles Babbage have been presented in which they attempted to review, analyse and conclude the notion of artificial intelligence. Coming to the Twenty-First Century and witnessing a period, particularly from 1949-87, where nothing had been constant, Architects and Cyberneticians whose architectural projects attempted to simulate intelligence include Cedric Price, Richard Saul Wurman, Nicholas Negroponte, Kenzo Tange, Arata Isozaki, Charles Eames, Ezra D. Ehrenkrantz, Richard Rogers, Renzo Piano, and Gordon Pask respectively. This book asks: How have Polymaths, Architects and Cyberneticians simulated artificial intelligence in their scientific/architectural projects? Is it possible to define intelligence purely based on the history of architecture? Or, on a more extensive level, is it possible to view artificial intelligence originating from the history of architecture instead of computational paradigm?
The transdisciplinarity of the book makes it of interest to researchers and students of technologically advanced architecture’s history, theory, and criticism, artificial intelligence, cybernetics, information and communications, urban and sustainable design, ergonomics, computer applications, and digital design and fabrication.
Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Memmo's summaries are gold before exams. I don't have to re-read 800 pages two weeks before — just the important parts.
The AI chat has saved me the night before an exam more than once. I just keep asking until I get it — no waiting on a study group to reply.
The quizzes hit exactly what I need to know. Memmo tracks what I get stuck on — so I only practice what's worth it.
Flashcards with spaced repetition are magic. Memmo knows when I'm about to forget something and brings it back.
The AI podcasts are my favorite. I listen on my way to school and get a recap without sitting at a computer.
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