Search results for: species-and-machines

Species and Machines

Author : Martyn Hudson
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This book offers a re-examination of the relationship between humans and nature with a new methodology: by examining our entanglement with machines. Using central ideas of critical theory, it uncovers the suppression of nature through technology, tools and engines. It focuses on the ways in which human social forms have actively subjugated and destroyed other species in order to enhance their own social power and accumulation, leading to a new Anthropocene epoch in which human intervention is signalled in the geological record. Beginning with an account of the interactions between humans and other species, the book moves on to explore the hidden history of Marx and his obsession with machines, as well as new attempts to rethink a Marxist ecology, before proceeding to examine the manner in which technologies were used to suppress and destroy one particular species - the Whale of what we call the Cetacean Holocaust. Following this, there are analyses of the emergence of the ‘human encampments’ of the cities and the rise of mobile, locomotive cultures, and consideration of the relationship between machines of memory, and the ‘capturing’ of nature. A radical rethinking of classical social theory that develops new ways of thinking about ecological catastrophe and nature, this book will appeal to scholars of social theory and environmental sociology.

Darwin Among the Machines

Author : George Dyson
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'Full of historical anecdotes . . . but this is much more than a history book. [George Dyson] weaves his threads together for a purpose. Using voices of the past and present, he describes a fresh and sometimes startling viewpoint of the emerging relationship between nature and machines. From vignettes about Olaf Stapledon, George Boole, John von Neumann, and Samuel Butler, a larger story develops in which the twin processes of intelligence and evolution are inseparably intertwined' Danny Hillis, Wired

Human Error

Author : Dominic Pettman
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Argues that humanity can be seen as a case of mistaken identity.

Turn On Tune In Drop Out

Author : Timothy Leary
File Size : 38.25 MB
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Written in the psychedelic era, Turn On, Tune In, Drop Out is Timothy Leary at his best, beckoning with humor and irreverence, a vision of individual empowerment, personal responsibility, and spiritual awakening. Includes: Start Your Own Religion Education as an Addictive Process Soul Session Buddha as Drop-Out Mad Virgin of Psychedelia God's Secret Agent o Homage to Huxley The Awe-Ful See-Er o The Molecular Revolution MIT is TIM Backwards Neurological Politics "Trickster is a major figure in American Indian folk Wisdom. Also in Sufi Tales … a certain type of "rascal"-with a grin and a wink (and wisdom beyond wisdom) … in the Zen tradition this is known as the School of Crazy Wisdom … Timothy Leary-in his own inimitable way-has become the twentieth century's grand master of crazy wisdom …" - Dr. Jeffrey Mishlove

The Boundaries of Humanity

Author : James J. Sheehan
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"An excellent interdisciplinary collage . . . of considerable interest to philosophers, psychologists, computer scientists (of a theoretical stripe), sociologists, and others. . . . Rethinking our relationship to animals is very relevant, I believe, to thinking clearly about our current relationships to current (and future) machines."--Keith Gunderson, University of Minnesota

The Fourth Discontinuity

Author : Bruce Mazlish
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Discusses the relationship between humans and machines, pondering the implications of humans becoming more mechanical and of computer robots being programmed to think. He describes early Greek and Chinese automatons and discusses ideas of previous centuries and of individuals on this subject.

Darwin Among The Machines

Author : George B. Dyson
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As timely now as it was when it was first published in 1997, Darwin Among the Machines tells the story of humankind's long journey into the digital age. Historian of technology George Dyson traces the course of the information revolution, illuminating the lives and work of visionaries -- from Thomas Hobbes to John von Neumann -- who foresaw the development of artificial intelligence, artificial life, and artificial mind. Weaving a convincing, occasionally frightening narrative of the evolution of the global network, Dyson explores the limits of Darwinian evolution to suggest what lies ahead. Computer programs and worldwide networks are combining to produce an evolutionary theater in which the distinctions between nature and technology are increasingly obscured, he argues. We are living in the midst of an experiment -- one that echoes the prehistory of human intelligence and the origins of life. Now in a new paperback edition, this classic work on the emergence of collective mechanical intelligence will resonate for generations to come.

Information Processing

Author : International Federation for Information Processing
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The Cell as a Machine

Author : Michael Sheetz
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This unique introductory text explains cell functions using the engineering principles of robust devices. Adopting a process-based approach to understanding cell and tissue biology, it describes the molecular and mechanical features that enable the cell to be robust in operating its various components, and explores the ways in which molecular modules respond to environmental signals to execute complex functions. The design and operation of a variety of complex functions are covered, including engineering lipid bilayers to provide fluid boundaries and mechanical controls, adjusting cell shape and forces with dynamic filament networks, and DNA packaging for information retrieval and propagation. Numerous problems, case studies and application examples help readers connect theory with practice, and solutions for instructors and videos of lectures accompany the book online. Assuming only basic mathematical knowledge, this is an invaluable resource for graduate and senior undergraduate students taking single-semester courses in cell mechanics, biophysics and cell biology.

Large Scale Machine Learning in the Earth Sciences

Author : Ashok N. Srivastava
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From the Foreword: "While large-scale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth sciences is still in the early stages. This book, edited by Ashok Srivastava, Ramakrishna Nemani, and Karsten Steinhaeuser, serves as an outstanding resource for anyone interested in the opportunities and challenges for the machine learning community in analyzing these data sets to answer questions of urgent societal interest...I hope that this book will inspire more computer scientists to focus on environmental applications, and Earth scientists to seek collaborations with researchers in machine learning and data mining to advance the frontiers in Earth sciences." --Vipin Kumar, University of Minnesota Large-Scale Machine Learning in the Earth Sciences provides researchers and practitioners with a broad overview of some of the key challenges in the intersection of Earth science, computer science, statistics, and related fields. It explores a wide range of topics and provides a compilation of recent research in the application of machine learning in the field of Earth Science. Making predictions based on observational data is a theme of the book, and the book includes chapters on the use of network science to understand and discover teleconnections in extreme climate and weather events, as well as using structured estimation in high dimensions. The use of ensemble machine learning models to combine predictions of global climate models using information from spatial and temporal patterns is also explored. The second part of the book features a discussion on statistical downscaling in climate with state-of-the-art scalable machine learning, as well as an overview of methods to understand and predict the proliferation of biological species due to changes in environmental conditions. The problem of using large-scale machine learning to study the formation of tornadoes is also explored in depth. The last part of the book covers the use of deep learning algorithms to classify images that have very high resolution, as well as the unmixing of spectral signals in remote sensing images of land cover. The authors also apply long-tail distributions to geoscience resources, in the final chapter of the book.