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Neural Architecture

Design and Artificial Intelligence

Matias del Campo

$49.99

Paperback

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English
Oro Editions
01 January 2022
The book provides an opportunity to survey the emerging field of

Architecture and Artificial Intelligence, and to reflect on the

implications of a world increasingly entangled in questions of the

agency, culture and ethics of AI.

The main goal of Neural Architecture is to understand how to interrogate artificial intelligence - a technological tool - in the field of architectural design, traditionally a practice that combines humanities and visual arts. Matias del Campo, the author of Neural Architecture is currently exploring specific applications of artificial intelligence in contemporary architecture, focusing on their relationship to material and symbolic culture. AI has experienced an explosive growth in recent years in a range of fields including architecture but its implications for the humanistic values that distinguish architecture from technology have yet to be measured. This book explores the interdisciplinary project that brings the long tradition of humanistic inquiry in architecture together with cutting-edge research in artificial intelligence.

By:  
Imprint:   Oro Editions
Country of Publication:   United States
Dimensions:   Height: 229mm,  Width: 178mm, 
Weight:   680g
ISBN:   9781951541682
ISBN 10:   1951541685
Pages:   250
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active

Matias del Campo is a registered architect, designer and educator. Founded together with Sandra Manninger in Vienna 2003, SPAN is a globally acting practice best known for their application of contemporary technologies in architectural production. Their award-winning architectural designs are informed by advanced geometry, computational methodologies, and philosophical inquiry.

Reviews for Neural Architecture: Design and Artificial Intelligence

In Neural Architecture, Design and Artificial Intelligence, Matias Del Campo sets sail for an adventure into the unknown. But like the Viennese philosopher, planner and precursor of the Internet and Wikipedia, Otto Neurath, he's very much aware that, to quote the latter, We are like sailors who on the open sea must reconstruct their ship but are never able to start afresh from the bottom. In this way, by using the old beams and driftwood the ship can be shaped entirely anew, but only by gradual reconstruction. Today, Neurath's metaphorical old beams and driftwood are the datasets that feed machine learning. It's like a tradition on speed, leading to unexpected but fascinating results.


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