Machine Hallucinations

Machine Hallucinations

Author: Matias del Campo

Publisher: John Wiley & Sons

Published: 2022-07-13

Total Pages: 147

ISBN-13: 1119748844

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AI is already part of our lives even though we might not realise it. It is in our phones, filtering spam, identifying Facebook friends, and classifying our images on Instagram. It is in our homes in the form of Siri, Alexa and other AI assistants. It is in our cars and our planes. AI is literally everywhere. Artworks generated by AI have won international prizes, and have been sold at auction. But what does AI mean for the world of design? This issue of AD explores the nature of AI, and considers its potential for architecture. But this is no idle speculation. Architects have already started using AI for architectural design and fabrication. Yet – astonishingly – there has been almost no debate about AI within the discipline of architecture so far. Surely, nothing can be more important for the profession of architecture right now. The issue looks at all aspects of AI: its potential to assist architects in designing buildings so that it becomes a form of ‘augmented intelligence’; its capacity to design buildings on its own; and whether AI might open up an extraordinary new chapter in architectural design. Contributors: Refik Anadol; Daniel Bolojan; Alexa Carlson; Sofia Crespo and Feileacan McCormick; Gabriel Esquivel, Jean Jaminet and Shane Bugni; Behnaz Farahi; Theodoros Galanos and Angelos Chronis; Eduard Haiman; Wanyu He; Damjan Jovanovic and Lidija Kljakovic; Immanuel Koh; Maria Kuptsova; Sandra Manninger; Lev Manovich; Achim Menges and Thomas Wortmann; Wolf dPrix, Karolin Schmidbaur and Efilena Baseta; M Casey Rehm; and Hao Zheng and Masoud Akbarzadeh. Featured architects: Alisa Andrasek, Coop Himmelb(l)au, Lifeforms.io, Nonstandardstudio,SPAN, Kyle Steinfeld, Studio Kinch and Xkool Technology.


Book Synopsis Machine Hallucinations by : Matias del Campo

Download or read book Machine Hallucinations written by Matias del Campo and published by John Wiley & Sons. This book was released on 2022-07-13 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI is already part of our lives even though we might not realise it. It is in our phones, filtering spam, identifying Facebook friends, and classifying our images on Instagram. It is in our homes in the form of Siri, Alexa and other AI assistants. It is in our cars and our planes. AI is literally everywhere. Artworks generated by AI have won international prizes, and have been sold at auction. But what does AI mean for the world of design? This issue of AD explores the nature of AI, and considers its potential for architecture. But this is no idle speculation. Architects have already started using AI for architectural design and fabrication. Yet – astonishingly – there has been almost no debate about AI within the discipline of architecture so far. Surely, nothing can be more important for the profession of architecture right now. The issue looks at all aspects of AI: its potential to assist architects in designing buildings so that it becomes a form of ‘augmented intelligence’; its capacity to design buildings on its own; and whether AI might open up an extraordinary new chapter in architectural design. Contributors: Refik Anadol; Daniel Bolojan; Alexa Carlson; Sofia Crespo and Feileacan McCormick; Gabriel Esquivel, Jean Jaminet and Shane Bugni; Behnaz Farahi; Theodoros Galanos and Angelos Chronis; Eduard Haiman; Wanyu He; Damjan Jovanovic and Lidija Kljakovic; Immanuel Koh; Maria Kuptsova; Sandra Manninger; Lev Manovich; Achim Menges and Thomas Wortmann; Wolf dPrix, Karolin Schmidbaur and Efilena Baseta; M Casey Rehm; and Hao Zheng and Masoud Akbarzadeh. Featured architects: Alisa Andrasek, Coop Himmelb(l)au, Lifeforms.io, Nonstandardstudio,SPAN, Kyle Steinfeld, Studio Kinch and Xkool Technology.

Architecture in the Age of Artificial Intelligence

Architecture in the Age of Artificial Intelligence

Author: Neil Leach

Publisher: Bloomsbury Publishing

Published: 2021-11-18

Total Pages: 281

ISBN-13: 1350165549

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Artificial intelligence is everywhere – from the apps on our phones to the algorithms of search engines. Without us noticing, the AI revolution has arrived. But what does this mean for the world of design? The first volume in a two-book series, Architecture in the Age of Artificial Intelligence introduces AI for designers and considers its positive potential for the future of architecture and design. Explaining what AI is and how it works, the book examines how different manifestations of AI will impact the discipline and profession of architecture. Highlighting current case-studies as well as near-future applications, it shows how AI is already being used as a powerful design tool, and how AI-driven information systems will soon transform the design of buildings and cities. Far-sighted, provocative and challenging, yet rooted in careful research and cautious speculation, this book, written by architect and theorist Neil Leach, is a must-read for all architects and designers – including students of architecture and all design professionals interested in keeping their practice at the cutting edge of technology.


Book Synopsis Architecture in the Age of Artificial Intelligence by : Neil Leach

Download or read book Architecture in the Age of Artificial Intelligence written by Neil Leach and published by Bloomsbury Publishing. This book was released on 2021-11-18 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence is everywhere – from the apps on our phones to the algorithms of search engines. Without us noticing, the AI revolution has arrived. But what does this mean for the world of design? The first volume in a two-book series, Architecture in the Age of Artificial Intelligence introduces AI for designers and considers its positive potential for the future of architecture and design. Explaining what AI is and how it works, the book examines how different manifestations of AI will impact the discipline and profession of architecture. Highlighting current case-studies as well as near-future applications, it shows how AI is already being used as a powerful design tool, and how AI-driven information systems will soon transform the design of buildings and cities. Far-sighted, provocative and challenging, yet rooted in careful research and cautious speculation, this book, written by architect and theorist Neil Leach, is a must-read for all architects and designers – including students of architecture and all design professionals interested in keeping their practice at the cutting edge of technology.

Human and Machine Consciousness

Human and Machine Consciousness

Author: David Gamez

Publisher: Open Book Publishers

Published: 2018-03-07

Total Pages: 234

ISBN-13: 1783743018

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Consciousness is widely perceived as one of the most fundamental, interesting and difficult problems of our time. However, we still know next to nothing about the relationship between consciousness and the brain and we can only speculate about the consciousness of animals and machines. Human and Machine Consciousness presents a new foundation for the scientific study of consciousness. It sets out a bold interpretation of consciousness that neutralizes the philosophical problems and explains how we can make scientific predictions about the consciousness of animals, brain-damaged patients and machines. Gamez interprets the scientific study of consciousness as a search for mathematical theories that map between measurements of consciousness and measurements of the physical world. We can use artificial intelligence to discover these theories and they could make accurate predictions about the consciousness of humans, animals and artificial systems. Human and Machine Consciousness also provides original insights into unusual conscious experiences, such as hallucinations, religious experiences and out-of-body states, and demonstrates how ‘designer’ states of consciousness could be created in the future. Gamez explains difficult concepts in a clear way that closely engages with scientific research. His punchy, concise prose is packed with vivid examples, making it suitable for the educated general reader as well as philosophers and scientists. Problems are brought to life in colourful illustrations and a helpful summary is given at the end of each chapter. The endnotes provide detailed discussions of individual points and full references to the scientific and philosophical literature.


Book Synopsis Human and Machine Consciousness by : David Gamez

Download or read book Human and Machine Consciousness written by David Gamez and published by Open Book Publishers. This book was released on 2018-03-07 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Consciousness is widely perceived as one of the most fundamental, interesting and difficult problems of our time. However, we still know next to nothing about the relationship between consciousness and the brain and we can only speculate about the consciousness of animals and machines. Human and Machine Consciousness presents a new foundation for the scientific study of consciousness. It sets out a bold interpretation of consciousness that neutralizes the philosophical problems and explains how we can make scientific predictions about the consciousness of animals, brain-damaged patients and machines. Gamez interprets the scientific study of consciousness as a search for mathematical theories that map between measurements of consciousness and measurements of the physical world. We can use artificial intelligence to discover these theories and they could make accurate predictions about the consciousness of humans, animals and artificial systems. Human and Machine Consciousness also provides original insights into unusual conscious experiences, such as hallucinations, religious experiences and out-of-body states, and demonstrates how ‘designer’ states of consciousness could be created in the future. Gamez explains difficult concepts in a clear way that closely engages with scientific research. His punchy, concise prose is packed with vivid examples, making it suitable for the educated general reader as well as philosophers and scientists. Problems are brought to life in colourful illustrations and a helpful summary is given at the end of each chapter. The endnotes provide detailed discussions of individual points and full references to the scientific and philosophical literature.

AI and the Future of Creative Work

AI and the Future of Creative Work

Author: Michael Filimowicz

Publisher: Taylor & Francis

Published: 2023-05-26

Total Pages: 111

ISBN-13: 1000924807

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This book focuses on the intelligent technologies that are transforming creative practices and industries. The future of creative work will be more complicated than “the robots will take our jobs.” The workplace is becoming increasingly hybridized, with human and computational labor complementing each other. Some economic roles for the former will no doubt fade over time, while new roles are created to produce artificial intelligence (AI)-related technologies and implementations for productivity. New tools for the generation and personalization of content across platforms will be as ubiquitous as the automation of repetitive tasks in content creation workflows. Cultural conceptions of what it means to be a creative worker will necessarily change as a result of these transformations in human-machine labor. The volume covers the possibilities of humans and robots developing collegial relationships, creative cybernetics as machines and artists become co-creators of art, the reconcentration of corporate power as AI transforms the music industry, the rhetoric of algorithm-driven cultural production in streaming media and how artisans provide a model of counter-hegemony to automation processes. Scholars and students from many backgrounds, as well as policy makers, journalists and the general reading public, will find a multidisciplinary approach to questions posed by creative labor and industry research from communication, philosophy, robotics, media, music and the creative arts, informatics, information science, and computer science and engineering.


Book Synopsis AI and the Future of Creative Work by : Michael Filimowicz

Download or read book AI and the Future of Creative Work written by Michael Filimowicz and published by Taylor & Francis. This book was released on 2023-05-26 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the intelligent technologies that are transforming creative practices and industries. The future of creative work will be more complicated than “the robots will take our jobs.” The workplace is becoming increasingly hybridized, with human and computational labor complementing each other. Some economic roles for the former will no doubt fade over time, while new roles are created to produce artificial intelligence (AI)-related technologies and implementations for productivity. New tools for the generation and personalization of content across platforms will be as ubiquitous as the automation of repetitive tasks in content creation workflows. Cultural conceptions of what it means to be a creative worker will necessarily change as a result of these transformations in human-machine labor. The volume covers the possibilities of humans and robots developing collegial relationships, creative cybernetics as machines and artists become co-creators of art, the reconcentration of corporate power as AI transforms the music industry, the rhetoric of algorithm-driven cultural production in streaming media and how artisans provide a model of counter-hegemony to automation processes. Scholars and students from many backgrounds, as well as policy makers, journalists and the general reading public, will find a multidisciplinary approach to questions posed by creative labor and industry research from communication, philosophy, robotics, media, music and the creative arts, informatics, information science, and computer science and engineering.

The Experience Machine

The Experience Machine

Author: Andy Clark

Publisher: Pantheon

Published: 2023-05-02

Total Pages: 305

ISBN-13: 1524748463

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A brilliant new theory of the mind that upends our understanding of how the brain interacts with the world “This thoroughly readable book will convince you that the brain and the world are partners in constructing our understanding.” —Sean Carroll, New York Times bestselling author of The Biggest Ideas in the Universe: Space, Time, and Motion For as long as we’ve studied human cognition, we’ve believed that our senses give us direct access to the world. What we see is what’s really there—or so the thinking goes. But new discoveries in neuroscience and psychology have turned this assumption on its head. What if rather than perceiving reality passively, your mind actively predicts it? Widely acclaimed philosopher and cognitive scientist Andy Clark unpacks this provocative new theory that the brain is a powerful, dynamic prediction engine, mediating our experience of both body and world. From the most mundane experiences to the most sublime, reality as we know it is the complex synthesis of sensory information and expectation. Exploring its fascinating mechanics and remarkable implications for our lives, mental health, and society, Clark nimbly illustrates how the predictive brain sculpts all human experience. Chronic pain and mental illness are shown to involve subtle malfunctions of our unconscious predictions, pointing the way towards more effective, targeted treatments. Under renewed scrutiny, the very boundary between ourselves and the outside world dissolves, showing that we are as entangled with our environments as we are with our onboard memories, thoughts, and feelings. And perception itself is revealed to be something of a controlled hallucination. Unveiling the extraordinary explanatory power of the predictive brain, The Experience Machine is a mesmerizing window onto one of the most significant developments in our understanding of the mind.


Book Synopsis The Experience Machine by : Andy Clark

Download or read book The Experience Machine written by Andy Clark and published by Pantheon. This book was released on 2023-05-02 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: A brilliant new theory of the mind that upends our understanding of how the brain interacts with the world “This thoroughly readable book will convince you that the brain and the world are partners in constructing our understanding.” —Sean Carroll, New York Times bestselling author of The Biggest Ideas in the Universe: Space, Time, and Motion For as long as we’ve studied human cognition, we’ve believed that our senses give us direct access to the world. What we see is what’s really there—or so the thinking goes. But new discoveries in neuroscience and psychology have turned this assumption on its head. What if rather than perceiving reality passively, your mind actively predicts it? Widely acclaimed philosopher and cognitive scientist Andy Clark unpacks this provocative new theory that the brain is a powerful, dynamic prediction engine, mediating our experience of both body and world. From the most mundane experiences to the most sublime, reality as we know it is the complex synthesis of sensory information and expectation. Exploring its fascinating mechanics and remarkable implications for our lives, mental health, and society, Clark nimbly illustrates how the predictive brain sculpts all human experience. Chronic pain and mental illness are shown to involve subtle malfunctions of our unconscious predictions, pointing the way towards more effective, targeted treatments. Under renewed scrutiny, the very boundary between ourselves and the outside world dissolves, showing that we are as entangled with our environments as we are with our onboard memories, thoughts, and feelings. And perception itself is revealed to be something of a controlled hallucination. Unveiling the extraordinary explanatory power of the predictive brain, The Experience Machine is a mesmerizing window onto one of the most significant developments in our understanding of the mind.

Visualizing Dynamic Systems

Visualizing Dynamic Systems

Author: Mojgan M Haghanikar

Publisher: Springer Nature

Published: 2022-06-01

Total Pages: 87

ISBN-13: 3031020928

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This book is aimed to help instructional designers, science game designers, science faculty, lab designers, and content developers in designing interactive learning experiences using emerging technologies and cyberlearning. The proposed solutions are for undergraduate and graduate scientific communication, engineering courses, scientific research communication, and workforce training. Reviewing across the science education literature reveals various aspects of unresolved challenges or inabilities in the visualization of scientific concepts. Visuospatial thinking is the fundamental part of learning sciences; however, promoting spatial thinking has not been emphasized enough in the educational system (Hegarty, 2014). Cognitive scientists distinguish between the multiple aspects of spatial ability and stresse that various problems or disciplines require different types of spatial skills. For example, the spatial ability to visualize anatomy cross-sections is significantly associated with mental rotation skills. The same is true for physical problems that often deal with spatial representations. However, most of the physics problems are marked by dynamicity, and visualizing dynamicity is inferred by the integrations of different participating components in the system. Therefore, what is needed for learning dynamicity is visualizing the mental animation of static episodes. This book is a leap into designing framework for using mixed reality (XR) technologies and cyberlearning in communicating advanced scientific concepts. The intention is to flesh out the cognitive infrastructure and visuospatial demands of complex systems and compare them in various contexts and disciplines. The practical implementation of emerging technology can be achieved by foreseeing each XR technology’s affordances and mapping those out to the cognitive infrastructure and visuospatial demands of the content under development.


Book Synopsis Visualizing Dynamic Systems by : Mojgan M Haghanikar

Download or read book Visualizing Dynamic Systems written by Mojgan M Haghanikar and published by Springer Nature. This book was released on 2022-06-01 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is aimed to help instructional designers, science game designers, science faculty, lab designers, and content developers in designing interactive learning experiences using emerging technologies and cyberlearning. The proposed solutions are for undergraduate and graduate scientific communication, engineering courses, scientific research communication, and workforce training. Reviewing across the science education literature reveals various aspects of unresolved challenges or inabilities in the visualization of scientific concepts. Visuospatial thinking is the fundamental part of learning sciences; however, promoting spatial thinking has not been emphasized enough in the educational system (Hegarty, 2014). Cognitive scientists distinguish between the multiple aspects of spatial ability and stresse that various problems or disciplines require different types of spatial skills. For example, the spatial ability to visualize anatomy cross-sections is significantly associated with mental rotation skills. The same is true for physical problems that often deal with spatial representations. However, most of the physics problems are marked by dynamicity, and visualizing dynamicity is inferred by the integrations of different participating components in the system. Therefore, what is needed for learning dynamicity is visualizing the mental animation of static episodes. This book is a leap into designing framework for using mixed reality (XR) technologies and cyberlearning in communicating advanced scientific concepts. The intention is to flesh out the cognitive infrastructure and visuospatial demands of complex systems and compare them in various contexts and disciplines. The practical implementation of emerging technology can be achieved by foreseeing each XR technology’s affordances and mapping those out to the cognitive infrastructure and visuospatial demands of the content under development.

Origin and Mechanisms of Hallucinations

Origin and Mechanisms of Hallucinations

Author: Wolfram Keup

Publisher: Springer Science & Business Media

Published: 2013-04-17

Total Pages: 496

ISBN-13: 1461586453

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Hallucinations, a natural phenomenon as old as mankind, have a surprisingly wide range. They appear under the most diversified conditions, in the "normal" psyche as well as in severe chronic mental derangement. As a symptom, hallucinations are a potential part of a variety of pathological conditions in almost all kinds of psychotic behavior. In addition, lately, various psychological and sociological circumstances seem to favor widespread use and abuse of hallucinogens, substances able to produce hallucinations in the normal brain. They not rarely lead to serious psychopatho logy such as toxic, and mobilized or aggravated endogenous psycho ses. While such development adds to our scientific knowledge, it also contributes to our current social troubles. Neurologists and neuro-surgeons, psychiatrists, psychologists and other specialized researchers constantly have been dealing with the phenomenon, its roots and branches, and yet, its primary mechanisms are largely un known. However, investigators of hallucinations now seem to enter common ground on which meaningful discussions and joint approaches become feasible and more promising. We have come a long way from the Latin term "hallucinari", meaning to talk nonsense, to be absent-minded, to the modern con cept of "hallucinations". While the Latin word was descriptive of what may be due to hallucinations, the modern concept defines hal lucinations as subjective experiences that are consequences of men tal processes, sometimes fulfilling a purpose in the individual's mental life.


Book Synopsis Origin and Mechanisms of Hallucinations by : Wolfram Keup

Download or read book Origin and Mechanisms of Hallucinations written by Wolfram Keup and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hallucinations, a natural phenomenon as old as mankind, have a surprisingly wide range. They appear under the most diversified conditions, in the "normal" psyche as well as in severe chronic mental derangement. As a symptom, hallucinations are a potential part of a variety of pathological conditions in almost all kinds of psychotic behavior. In addition, lately, various psychological and sociological circumstances seem to favor widespread use and abuse of hallucinogens, substances able to produce hallucinations in the normal brain. They not rarely lead to serious psychopatho logy such as toxic, and mobilized or aggravated endogenous psycho ses. While such development adds to our scientific knowledge, it also contributes to our current social troubles. Neurologists and neuro-surgeons, psychiatrists, psychologists and other specialized researchers constantly have been dealing with the phenomenon, its roots and branches, and yet, its primary mechanisms are largely un known. However, investigators of hallucinations now seem to enter common ground on which meaningful discussions and joint approaches become feasible and more promising. We have come a long way from the Latin term "hallucinari", meaning to talk nonsense, to be absent-minded, to the modern con cept of "hallucinations". While the Latin word was descriptive of what may be due to hallucinations, the modern concept defines hal lucinations as subjective experiences that are consequences of men tal processes, sometimes fulfilling a purpose in the individual's mental life.

Art in the Age of Machine Learning

Art in the Age of Machine Learning

Author: Sofian Audry

Publisher: MIT Press

Published: 2021-11-23

Total Pages: 215

ISBN-13: 0262367106

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An examination of machine learning art and its practice in new media art and music. Over the past decade, an artistic movement has emerged that draws on machine learning as both inspiration and medium. In this book, transdisciplinary artist-researcher Sofian Audry examines artistic practices at the intersection of machine learning and new media art, providing conceptual tools and historical perspectives for new media artists, musicians, composers, writers, curators, and theorists. Audry looks at works from a broad range of practices, including new media installation, robotic art, visual art, electronic music and sound, and electronic literature, connecting machine learning art to such earlier artistic practices as cybernetics art, artificial life art, and evolutionary art. Machine learning underlies computational systems that are biologically inspired, statistically driven, agent-based networked entities that program themselves. Audry explains the fundamental design of machine learning algorithmic structures in terms accessible to the nonspecialist while framing these technologies within larger historical and conceptual spaces. Audry debunks myths about machine learning art, including the ideas that machine learning can create art without artists and that machine learning will soon bring about superhuman intelligence and creativity. Audry considers learning procedures, describing how artists hijack the training process by playing with evaluative functions; discusses trainable machines and models, explaining how different types of machine learning systems enable different kinds of artistic practices; and reviews the role of data in machine learning art, showing how artists use data as a raw material to steer learning systems and arguing that machine learning allows for novel forms of algorithmic remixes.


Book Synopsis Art in the Age of Machine Learning by : Sofian Audry

Download or read book Art in the Age of Machine Learning written by Sofian Audry and published by MIT Press. This book was released on 2021-11-23 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: An examination of machine learning art and its practice in new media art and music. Over the past decade, an artistic movement has emerged that draws on machine learning as both inspiration and medium. In this book, transdisciplinary artist-researcher Sofian Audry examines artistic practices at the intersection of machine learning and new media art, providing conceptual tools and historical perspectives for new media artists, musicians, composers, writers, curators, and theorists. Audry looks at works from a broad range of practices, including new media installation, robotic art, visual art, electronic music and sound, and electronic literature, connecting machine learning art to such earlier artistic practices as cybernetics art, artificial life art, and evolutionary art. Machine learning underlies computational systems that are biologically inspired, statistically driven, agent-based networked entities that program themselves. Audry explains the fundamental design of machine learning algorithmic structures in terms accessible to the nonspecialist while framing these technologies within larger historical and conceptual spaces. Audry debunks myths about machine learning art, including the ideas that machine learning can create art without artists and that machine learning will soon bring about superhuman intelligence and creativity. Audry considers learning procedures, describing how artists hijack the training process by playing with evaluative functions; discusses trainable machines and models, explaining how different types of machine learning systems enable different kinds of artistic practices; and reviews the role of data in machine learning art, showing how artists use data as a raw material to steer learning systems and arguing that machine learning allows for novel forms of algorithmic remixes.

Pharmako-Al

Pharmako-Al

Author: K Allado-McDowell

Publisher: Lingua Ignota Books

Published: 2020-09-28

Total Pages: 232

ISBN-13: 9781838003906

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The first book to be co-written with the language AI GPT-3, exploring selfhood, ecology and technology. During the first summer of the coronavirus pandemic, a diary entry by K Allado-McDowell initiates an experimental conversation with the AI language model GPT-3. Over the course of a fortnight, their exchange rapidly unfolds into a labyrinthine exploration of memory, language and cosmology. The first book to be co-created with the emergent AI, Pharmako-AI takes a hallucinatory journey into selfhood, ecology and intelligence via cyberpunk, ancestry and biosemiotics. Through a writing process akin to musical improvisation, Allado-McDowell and GPT-3 together offer a fractal poetics of AI and a glimpse into the future of literature. Pharmako-AI reimagines cybernetics for a world facing multiple crises, with profound implications for how we see ourselves, nature and technology in the 21st century.


Book Synopsis Pharmako-Al by : K Allado-McDowell

Download or read book Pharmako-Al written by K Allado-McDowell and published by Lingua Ignota Books. This book was released on 2020-09-28 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first book to be co-written with the language AI GPT-3, exploring selfhood, ecology and technology. During the first summer of the coronavirus pandemic, a diary entry by K Allado-McDowell initiates an experimental conversation with the AI language model GPT-3. Over the course of a fortnight, their exchange rapidly unfolds into a labyrinthine exploration of memory, language and cosmology. The first book to be co-created with the emergent AI, Pharmako-AI takes a hallucinatory journey into selfhood, ecology and intelligence via cyberpunk, ancestry and biosemiotics. Through a writing process akin to musical improvisation, Allado-McDowell and GPT-3 together offer a fractal poetics of AI and a glimpse into the future of literature. Pharmako-AI reimagines cybernetics for a world facing multiple crises, with profound implications for how we see ourselves, nature and technology in the 21st century.

What AI Can Do

What AI Can Do

Author: Manuel Cebral-Loureda

Publisher: CRC Press

Published: 2023-08-01

Total Pages: 410

ISBN-13: 1000909034

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The philosopher Spinoza once asserted that no one knows what a body can do, conceiving an intrinsic bodily power with unknown limits. Similarly, we can ask ourselves about Artificial Intelligence (AI): To what extent is the development of intelligence limited by its technical and material substrate? In other words, what can AI do? The answer is analogous to Spinoza’s: Nobody knows the limit of AI. Critically considering this issue from philosophical, interdisciplinary, and engineering perspectives, respectively, this book assesses the scope and pertinence of AI technology and explores how it could bring about both a better and more unpredictable future. What AI Can Do highlights, at both the theoretical and practical levels, the cross-cutting relevance that AI is having on society, appealing to students of engineering, computer science, and philosophy, as well as all who hold a practical interest in the technology.


Book Synopsis What AI Can Do by : Manuel Cebral-Loureda

Download or read book What AI Can Do written by Manuel Cebral-Loureda and published by CRC Press. This book was released on 2023-08-01 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: The philosopher Spinoza once asserted that no one knows what a body can do, conceiving an intrinsic bodily power with unknown limits. Similarly, we can ask ourselves about Artificial Intelligence (AI): To what extent is the development of intelligence limited by its technical and material substrate? In other words, what can AI do? The answer is analogous to Spinoza’s: Nobody knows the limit of AI. Critically considering this issue from philosophical, interdisciplinary, and engineering perspectives, respectively, this book assesses the scope and pertinence of AI technology and explores how it could bring about both a better and more unpredictable future. What AI Can Do highlights, at both the theoretical and practical levels, the cross-cutting relevance that AI is having on society, appealing to students of engineering, computer science, and philosophy, as well as all who hold a practical interest in the technology.