Homing The Machine In Architecture

Homing the Machine in Architecture

Homing the Machine in Architecture is a series of conversations on the ways designers, practitioners, historians, and theorists orient themselves within the world of architectural digital fabrication. To “home” a digital fabrication machine is to send it back to its origin point—a point that can be specified by the fabricator in advance of the fabrication process or by the defaults that are pre-programmed into the machine. The homing process is necessary and productive since it determines the physical point at which the machine (and the maker) begin making—every time that architectural designers begin to digitally fabricate something new, they first need to home the machine. This book gathers first- and second-hand accounts of the origins of individual “digi-fab” practices from the emergence of advanced prototyping tools to the contemporary moment. It features interviews, essays, and case studies organized around three questions: What are the possible histories of digital fabrication in architecture? How do designers orient themselves in this emergent discipline? What conceptual original points do architectural designers return to when they home their machines? The discourse that emerges from this collection aims to reach practicing architects using digital fabrication, as well as upper-level students and academics of digital architecture, architectural theory, and architectural history.

ICANN ’93

This book contains the proceedings of the International Confer ence on Artificial Neural Networks which was held between September 13 and 16 in Amsterdam. It is the third in a series which started two years ago in Helsinki and which last year took place in Brighton. Thanks to the European Neural Network Society, ICANN has emerged as the leading conference on neural networks in Europe. Neural networks is a field of research which has enjoyed a rapid expansion and great popularity in both the academic and industrial research communities. The field is motivated by the commonly held belief that applications in the fields of artificial intelligence and robotics will benefit from a good understanding of the neural information processing properties that underlie human intelligence. Essential aspects of neural information processing are highly parallel execution of com putation, integration of memory and process, and robustness against fluctuations. It is believed that intelligent skills, such as perception, motion and cognition, can be easier realized in neuro-computers than in a conventional computing paradigm. This requires active research in neurobiology to extract com putational principles from experimental neurobiological find ings, in physics and mathematics to study the relation between architecture and function in neural networks, and in cognitive science to study higher brain functions, such as language and reasoning. Neural networks technology has already lead to practical methods that solve real problems in a wide area of industrial applications. The clusters on robotics and applications contain sessions on various sub-topics in these fields.

Open Architecture Control Systems and Standards