Hiesinger peter robin (19 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Zustand: New. 2022. Paperback. . . . . . Books ship from the US and Ireland.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: Brand New. 384 pages. 9.25x6.12x0.67 inches. In Stock.

Zustand: New. In English.

Paperback. Zustand: Brand New. 384 pages. 9.25x6.12x0.67 inches. In Stock.

Zustand: New. 2021. Hardcover. . . . . . Books ship from the US and Ireland.

Zustand: New. pp. 384.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 364 pages. 9.50x6.50x1.25 inches. In Stock.

Taschenbuch. Zustand: 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.…

Zustand: New. &Uumlber den AutorPeter Robin Hiesinger.

Taschenbuch. Zustand: 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.Product Safety Contact, Easy Access System Europe, Englisch.…

Hardcover. Zustand: Brand New. 364 pages. 9.50x6.50x1.25 inches. In Stock.

Taschenbuch. Zustand: Neu. The Self-Assembling Brain | How Neural Networks Grow Smarter | Peter Robin Hiesinger | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | Princeton Univers. Press | EAN 9780691241692 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…