Archives containing the RDF files for *all* our books can be downloaded at https://book.klll.cc/wiki/Gutenberg:Feeds#The_Complete_Project_Gutenberg_Catalog Project Gutenberg 2022-09-14 Public domain in the USA. 438 Berkeley, Edmund Callis 1909 1988 Giant brains; or, Machines that think $aUnited States :$bJohn Wiley & Sons,$c1949. Can machines think? what is a mechanical brain? -- Languages: systems for handling information -- A machine that will think: the design of a very simple mechanical brain -- Counting holes: punch-card calculating machines -- Measuring: Massachusetts Institute of Technology's differential analyzer no. 2 -- Accuracy to 23 digits: Harvard's IBM automatic sequence-controlled calculator -- Speed, 5000 additions a second: Moore School's ENIAC (Electronic Numerical Integrator and Calculator) -- Reliability, no wrong results: Bell Laboratories general-purpose relay calculator -- Reasoning: the Kalin-Burkhart logical-truth calculator -- An excursion: the future design of machines that think -- The future: machines that think, and what they might do for men -- Social control: machines that think, and how society may control them -- Supplements: Words and ideas. Mathematics. References. Tim Lindell and the Online Distributed Proofreading Team at https://www.pgdp.net (This book was produced from images made available by the HathiTrust Digital Library.) "Giant Brains; or, Machines That Think" by Edmund Callis Berkeley is a scientific publication written in the late 1940s. The book delves into the evolution and functionality of early computers, proposing the notion that these machines can perform tasks akin to human thinking. It discusses various types of computing machines, their significance in advancing knowledge, and explores the implications of computers in society. At the start of the book, the author outlines the purpose and scope of the text, emphasizing the advent of machines capable of complex calculations and reasoning. Berkeley introduces the concept of mechanical brains, describing how they process and manage information with remarkable efficiency, often surpassing human capabilities. The opening portion sets the stage for deeper discussions on the design of specific machines, the nature of thinking, and the future foundations of intelligent machinery. (This is an automatically generated summary.) https://hdl.handle.net/2027/mdp.39015065911243 20210212080954berkeley 1949 US Reading ease score: 61.8 (8th & 9th grade). Neither easy nor difficult to read. en Computers -- Popular works QA Text Category: Science - Physics Category: Engineering & Technology 829412 2025-07-27T09:40:01.813737 text/html 796178 2024-10-19T00:46:54 text/html 4027148 2025-07-27T09:40:21.899204 application/epub+zip 4023329 2025-07-27T09:40:06.059790 application/epub+zip 307559 2025-07-27T09:40:03.826738 application/epub+zip 4270175 2025-07-27T09:40:30.663108 application/x-mobipocket-ebook 4249041 2025-07-27T09:40:19.374153 application/x-mobipocket-ebook 545284 2022-10-01T01:02:46.267381 application/x-mobipocket-ebook 568570 2025-07-27T09:39:57.945813 text/plain; charset=us-ascii 548557 2024-10-19T00:46:54 text/plain; charset=us-ascii 17164 2025-07-27T09:40:30.871129 application/rdf+xml 14635 2025-07-27T09:40:04.096725 image/jpeg 2249 2025-07-27T09:40:03.968738 image/jpeg 4202526 2025-07-27T09:40:02.077744 application/octet-stream application/zip en.wikipedia