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A social history of AI that finally reveals its roots in the spatial computation of industrial factories and the surveillance of collective behaviour. What is AI? A dominant view describes it as the quest ''to solve intelligence,'' a solution supposedly to be found in the secret logic of the mind or in the deep physiology of the brain, such as in its complex neural(...)
The eye of the master: A social history of artificial intelligence
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A social history of AI that finally reveals its roots in the spatial computation of industrial factories and the surveillance of collective behaviour. What is AI? A dominant view describes it as the quest ''to solve intelligence,'' a solution supposedly to be found in the secret logic of the mind or in the deep physiology of the brain, such as in its complex neural networks. ''The eye of the master'' argues, to the contrary, that the inner code of AI is shaped not by the imitation of biological intelligence, but the intelligence of labour and social relations, as it is found in Babbage's ''calculating engines'' of the industrial age as well as in the recent algorithms for image recognition and surveillance. The idea that AI may one day become autonomous (or ''sentient'', as someone thought of Google's LaMDA) is pure fantasy. Computer algorithms have always imitated the form of social relations and the organisation of labour in their own inner structure and their purpose remains blind automation. ''The eye of the master'' urges a new literacy on AI for scientists, journalists and new generations of activists, who should recognise that the ''mystery'' of AI is just the automation of labour at the highest degree, not intelligence per se.
Big data, big design
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Enter the world of Machine Learning (ML) and Artificial Intelligence (AI) through a design lens in this thoughtful handbook of practical skills, technical knowledge, interviews, essays, and theory, written specifically for designers. Gain an understanding of the design opportunities and design biases that arise when using predictive algorithms. Learn how to place design(...)
Big data, big design
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Enter the world of Machine Learning (ML) and Artificial Intelligence (AI) through a design lens in this thoughtful handbook of practical skills, technical knowledge, interviews, essays, and theory, written specifically for designers. Gain an understanding of the design opportunities and design biases that arise when using predictive algorithms. Learn how to place design principles and cultural context at the heart of AI and ML through real-life case studies and examples. This portable, accessible guide will give beginners and more advanced AI and ML users the confidence to make reasoned, thoughtful decisions when implementing ML design solutions.
Théorie du design
n+1 #51
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New AI & I literature. Relate, revolt! Does Trump hate art? Idiocracy now. The new faces of ICE. Fiction by Elizabeth Schambelan.
Espace 124
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IA, art sans artistes ? / AI, art without artists? Le dernier numéro est disponible à la librairie ! / The latest issue is available at the bookstore!
Espace 124
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IA, art sans artistes ? / AI, art without artists? Le dernier numéro est disponible à la librairie ! / The latest issue is available at the bookstore!
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248 pages : illustrations (chiefly color), charts, portraits ; 23 cm
Basel, Switzerland : Birkhäuser ; Potsdam, Germany : Bauhaus Earth, [2023], ©2023
Reconstructing the future : cities as carbon sinks / Bauhaus Earth, Hans Joachim Schellnhuber, Rocio Armillas Tiseyra (eds).
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248 pages : illustrations (chiefly color), charts, portraits ; 23 cm
livres
Basel, Switzerland : Birkhäuser ; Potsdam, Germany : Bauhaus Earth, [2023], ©2023
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Artificial Intelligence’s (AI) encounter with architecture is still in its infancy. However, current experiments and applications already are a testimony to their gradual intersection. This book provides an introduction to the topic through the triple lens of History, Application, and Theory. A chronology of architecture’s technological evolution first puts AI back in the(...)
Artificial intelligence and architecture: From research to practice
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Artificial Intelligence’s (AI) encounter with architecture is still in its infancy. However, current experiments and applications already are a testimony to their gradual intersection. This book provides an introduction to the topic through the triple lens of History, Application, and Theory. A chronology of architecture’s technological evolution first puts AI back in the context of the discipline. The author then presents a collection of AI’s applications in architecture. The book finally gives the stage to contributors working at the forefront of this revolution. From Harvard to Foster & Partners, their perspectives provide a panorama of the discourse surrounding AI’s presence in the field.
Architecture numérique
Mikael Olsson: on | auf
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In 'on | auf', the Swedish artist Mikael Olsson undertakes a photographic interpretation of the Swiss architects Herzog & de Meuron’s and the Chinese artist Ai Weiwei’s temporary pavilion at the Serpentine Gallery in London.
Mikael Olsson: on | auf
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In 'on | auf', the Swedish artist Mikael Olsson undertakes a photographic interpretation of the Swiss architects Herzog & de Meuron’s and the Chinese artist Ai Weiwei’s temporary pavilion at the Serpentine Gallery in London.
Monographies photo
Parkett no. 81 2007
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Just how effectively the conceptual approach to art has forged new frontiers is apply demonstrated by the work of Cosima von Bonin, Christian Jankowski, and Ai Weiwei. The cultivation of an all-embracing practice has expanded the field of art in unexpected ways.
Parkett no. 81 2007
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Just how effectively the conceptual approach to art has forged new frontiers is apply demonstrated by the work of Cosima von Bonin, Christian Jankowski, and Ai Weiwei. The cultivation of an all-embracing practice has expanded the field of art in unexpected ways.
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$27.00
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Although often considered to be a fault or a glitch in the system, the event of hallucination is central to the models of image production generated by artificial intelligence (AI). Through mining the latent space of computer vision, Trevor Paglen’s series "Adversarially evolved hallucinations" (2017–ongoing) reveals this phantasmal and hallucinatory domain. In the(...)
Adversarially evolved hallucinations
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Although often considered to be a fault or a glitch in the system, the event of hallucination is central to the models of image production generated by artificial intelligence (AI). Through mining the latent space of computer vision, Trevor Paglen’s series "Adversarially evolved hallucinations" (2017–ongoing) reveals this phantasmal and hallucinatory domain. In the conversation included in this volume, he discusses how we can think from within these opaque structures and, in turn, questions the frequently inflated claims made on behalf of automated image-production systems. In an accompanying essay, Anthony Downey explores the uncanny realm of algorithmically induced images and proposes that AI, through its generative modeling of the world, invariably estranges us from the present and the future.
Théorie de l’art
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Guest editor Nora N. Khan and fifteen luminaries question our problematic faith in and deference to AI. Exploring the limits of knowledge, prediction, language, and abstraction in computation, their collected essays and artworks measure the gap between machine learning hypotheticals and the mess of lived experience.
HOLO 3: Mirror stage, between computability and its opposite
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Guest editor Nora N. Khan and fifteen luminaries question our problematic faith in and deference to AI. Exploring the limits of knowledge, prediction, language, and abstraction in computation, their collected essays and artworks measure the gap between machine learning hypotheticals and the mess of lived experience.
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