The Self-Assembling Brain: How Neural Networks Grow Smarter
Hiesinger, Peter Robin
ISBN 10: 0691241694 ISBN 13: 9780691241692
Published by Princeton University Press, 2022
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About the Author: Peter Robin Hiesinger is professor of neurobiology at Freie Universität Berlin, where he teaches undergraduate and graduate students and leads a research laboratory and a multilab research consortium on neural networks.
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Title: The Self-Assembling Brain: How Neural ...
Publisher: Princeton University Press
Publication Date: 2022
Binding: Soft cover
Condition: New
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The Self-Assembling Brain: How Neural Networks Grow Smarter
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ISBN 10: 0691241694
ISBN 13: 9780691241692
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The Self-Assembling Brain
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Princeton Univers. Press Dez 2022, 2022
ISBN 10: 0691241694
ISBN 13: 9780691241692
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Taschenbuch. Condition: Neu. Neuware -What neurobiology and artificial intelligence tell us about how the brain builds itself How does a neural network become a brain While neurobiologists investigate how nature accomplishes this feat, computer scientists interested in artificial intelligence strive to achieve this through technology. The Self-Assembling Brain tells the stories of both fields, exploring the historical and modern approaches taken by the scientists pursuing answers to the quandary: What information is necessary to make an intelligent neural network As Peter Robin Hiesinger argues, "the information problem" underlies both fields, motivating the questions driving forward the frontiers of research. How does genetic information unfold during the years-long process of human brain developmentand is there a quicker path to creating human-level artificial intelligence Is the biological brain just messy hardware, which scientists can improve upon by running learning algorithms on computers Can AI bypass the evolutionary programming of "grown" networks Through a series of fictional discussions between researchers across disciplines, complemented by in-depth seminars, Hiesinger explores these tightly linked questions, highlighting the challenges facing scientists, their different disciplinary perspectives and approaches, as well as the common ground shared by those interested in the development of biological brains and AI systems. In the end, Hiesinger contends that the information content of biological and artificial neural networks must unfold in an algorithmic process requiring time and energy. There is no genome and no blueprint that depicts the final product. The self-assembling brain knows no shortcuts.Written for readers interested in advances in neuroscience and artificial intelligence, The Self-Assembling Brain looks at how neural networks grow smarter. Seller Inventory # 9780691241692
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The Self-Assembling Brain
Published by
Princeton Univers. Press Dez 2022, 2022
ISBN 10: 0691241694
ISBN 13: 9780691241692
New
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Taschenbuch. Condition: Neu. Neuware -What neurobiology and artificial intelligence tell us about how the brain builds itself How does a neural network become a brain While neurobiologists investigate how nature accomplishes this feat, computer scientists interested in artificial intelligence strive to achieve this through technology. The Self-Assembling Brain tells the stories of both fields, exploring the historical and modern approaches taken by the scientists pursuing answers to the quandary: What information is necessary to make an intelligent neural network As Peter Robin Hiesinger argues, "the information problem" underlies both fields, motivating the questions driving forward the frontiers of research. How does genetic information unfold during the years-long process of human brain developmentand is there a quicker path to creating human-level artificial intelligence Is the biological brain just messy hardware, which scientists can improve upon by running learning algorithms on computers Can AI bypass the evolutionary programming of "grown" networks Through a series of fictional discussions between researchers across disciplines, complemented by in-depth seminars, Hiesinger explores these tightly linked questions, highlighting the challenges facing scientists, their different disciplinary perspectives and approaches, as well as the common ground shared by those interested in the development of biological brains and AI systems. In the end, Hiesinger contends that the information content of biological and artificial neural networks must unfold in an algorithmic process requiring time and energy. There is no genome and no blueprint that depicts the final product. The self-assembling brain knows no shortcuts.Written for readers interested in advances in neuroscience and artificial intelligence, The Self-Assembling Brain looks at how neural networks grow smarter.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 364 pp. Englisch. Seller Inventory # 9780691241692
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The Self-Assembling Brain
Published by
Princeton Univers. Press Dez 2022, 2022
ISBN 10: 0691241694
ISBN 13: 9780691241692
New
Taschenbuch
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Taschenbuch. Condition: Neu. Neuware -What neurobiology and artificial intelligence tell us about how the brain builds itself How does a neural network become a brain While neurobiologists investigate how nature accomplishes this feat, computer scientists interested in artificial intelligence strive to achieve this through technology. The Self-Assembling Brain tells the stories of both fields, exploring the historical and modern approaches taken by the scientists pursuing answers to the quandary: What information is necessary to make an intelligent neural network As Peter Robin Hiesinger argues, "the information problem" underlies both fields, motivating the questions driving forward the frontiers of research. How does genetic information unfold during the years-long process of human brain developmentand is there a quicker path to creating human-level artificial intelligence Is the biological brain just messy hardware, which scientists can improve upon by running learning algorithms on computers Can AI bypass the evolutionary programming of "grown" networks Through a series of fictional discussions between researchers across disciplines, complemented by in-depth seminars, Hiesinger explores these tightly linked questions, highlighting the challenges facing scientists, their different disciplinary perspectives and approaches, as well as the common ground shared by those interested in the development of biological brains and AI systems. In the end, Hiesinger contends that the information content of biological and artificial neural networks must unfold in an algorithmic process requiring time and energy. There is no genome and no blueprint that depicts the final product. The self-assembling brain knows no shortcuts.Written for readers interested in advances in neuroscience and artificial intelligence, The Self-Assembling Brain looks at how neural networks grow smarter. 364 pp. Englisch. Seller Inventory # 9780691241692
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Self-assembling Brain : How Neural Networks Grow Smarter
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ISBN 10: 0691241694
ISBN 13: 9780691241692
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The Self-Assembling Brain: How Neural Networks Grow Smarter
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ISBN 10: 0691241694
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Self-assembling Brain : How Neural Networks Grow Smarter
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ISBN 10: 0691241694
ISBN 13: 9780691241692
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The Self-Assembling Brain: How Neural Networks Grow Smarter
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ISBN 10: 0691241694
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The Self-Assembling Brain | How Neural Networks Grow Smarter
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ISBN 10: 0691241694
ISBN 13: 9780691241692
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Taschenbuch. Condition: Neu. The Self-Assembling Brain | How Neural Networks Grow Smarter | Peter Robin Hiesinger | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | Princeton Univers. Press | EAN 9780691241692 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. Seller Inventory # 121488064