Alan Turing's Automatic Computing Engine
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To What Extent Did British Advancements in Cryptanalysis During World War II Influence the Development of Computer Technology?
Portland State University PDXScholar Young Historians Conference Young Historians Conference 2016 Apr 28th, 9:00 AM - 10:15 AM To What Extent Did British Advancements in Cryptanalysis During World War II Influence the Development of Computer Technology? Hayley A. LeBlanc Sunset High School Follow this and additional works at: https://pdxscholar.library.pdx.edu/younghistorians Part of the European History Commons, and the History of Science, Technology, and Medicine Commons Let us know how access to this document benefits ou.y LeBlanc, Hayley A., "To What Extent Did British Advancements in Cryptanalysis During World War II Influence the Development of Computer Technology?" (2016). Young Historians Conference. 1. https://pdxscholar.library.pdx.edu/younghistorians/2016/oralpres/1 This Event is brought to you for free and open access. It has been accepted for inclusion in Young Historians Conference by an authorized administrator of PDXScholar. Please contact us if we can make this document more accessible: [email protected]. To what extent did British advancements in cryptanalysis during World War 2 influence the development of computer technology? Hayley LeBlanc 1936 words 1 Table of Contents Section A: Plan of Investigation…………………………………………………………………..3 Section B: Summary of Evidence………………………………………………………………....4 Section C: Evaluation of Sources…………………………………………………………………6 Section D: Analysis………………………………………………………………………………..7 Section E: Conclusion……………………………………………………………………………10 Section F: List of Sources………………………………………………………………………..11 Appendix A: Explanation of the Enigma Machine……………………………………….……...13 Appendix B: Glossary of Cryptology Terms.…………………………………………………....16 2 Section A: Plan of Investigation This investigation will focus on the advancements made in the field of computing by British codebreakers working on German ciphers during World War 2 (19391945). -
May 21St at the Time, the EDSAC Used IBM 726 Three Small Cathode Ray Tube Börje Langefors Screens to Display the State of Its Announced Memory
it played tic-tac-toe (known as Noughts and Crosses in the UK). May 21st At the time, the EDSAC used IBM 726 three small cathode ray tube Börje Langefors screens to display the state of its Announced memory. Each one could draw a May 21, 1952 Born: May 21, 1915; grid of 35 x 16 dots. Douglas re- purposed one of them for his Ystad, Sweden The IBM 726 was the company’s game, and obtained input (i.e. Died: Dec. 13, 2009 first magnetic tape unit, where to place a nought or intended for use with the Langefors developed the cross) via EDSAC’s rotary recently announced IBM 701 ‘infological equation’ in 1980, controller. [April 7], the company’s first which describes the difference electronic computer. between information and data in terms of additional semantic The 726 utilized half-inch tapes background and a with seven tracks. Six were for communication time interval. the data and the seventh was employed as a parity track. Langefors joined SAAB, the Some tapes were 1,200 feet long, Swedish aerospace and defense could store 2.3 MB of data, and company, in 1949 where he IBM claimed that just one could utilized analog devices for replace 12,500 punch cards. calculating wing stresses. The need for more powerful tools The drive could write 100 became evident, and the only characters per inch on a tape Swedish computer of the time, EDSAC CRT Tubes. Computer and read 75 inches per second. the BESK [April 1], was Lab, Univ. of Cambridge. CC BY To withstand the system’s fast insufficient for the task. -
The Turing Guide
The Turing Guide Edited by Jack Copeland, Jonathan Bowen, Mark Sprevak, and Robin Wilson • A complete guide to one of the greatest scientists of the 20th century • Covers aspects of Turing’s life and the wide range of his intellectual activities • Aimed at a wide readership • This carefully edited resource written by a star-studded list of contributors • Around 100 illustrations This carefully edited resource brings together contributions from some of the world’s leading experts on Alan Turing to create a comprehensive guide that will serve as a useful resource for researchers in the area as well as the increasingly interested general reader. “The Turing Guide is just as its title suggests, a remarkably broad-ranging compendium of Alan Turing’s lifetime contributions. Credible and comprehensive, it is a rewarding exploration of a man, who in his life was appropriately revered and unfairly reviled.” - Vint Cerf, American Internet pioneer JANUARY 2017 | 544 PAGES PAPERBACK | 978-0-19-874783-3 “The Turing Guide provides a superb collection of articles £19.99 | $29.95 written from numerous different perspectives, of the life, HARDBACK | 978-0-19-874782-6 times, profound ideas, and enormous heritage of Alan £75.00 | $115.00 Turing and those around him. We find, here, numerous accounts, both personal and historical, of this great and eccentric man, whose life was both tragic and triumphantly influential.” - Sir Roger Penrose, University of Oxford Ordering Details ONLINE www.oup.com/academic/mathematics BY TELEPHONE +44 (0) 1536 452640 POSTAGE & DELIVERY For more information about postage charges and delivery times visit www.oup.com/academic/help/shipping/. -
An Early Program Proof by Alan Turing F
An Early Program Proof by Alan Turing F. L. MORRIS AND C. B. JONES The paper reproduces, with typographical corrections and comments, a 7 949 paper by Alan Turing that foreshadows much subsequent work in program proving. Categories and Subject Descriptors: 0.2.4 [Software Engineeringj- correctness proofs; F.3.1 [Logics and Meanings of Programs]-assertions; K.2 [History of Computing]-software General Terms: Verification Additional Key Words and Phrases: A. M. Turing Introduction The standard references for work on program proofs b) have been omitted in the commentary, and ten attribute the early statement of direction to John other identifiers are written incorrectly. It would ap- McCarthy (e.g., McCarthy 1963); the first workable pear to be worth correcting these errors and com- methods to Peter Naur (1966) and Robert Floyd menting on the proof from the viewpoint of subse- (1967); and the provision of more formal systems to quent work on program proofs. C. A. R. Hoare (1969) and Edsger Dijkstra (1976). The Turing delivered this paper in June 1949, at the early papers of some of the computing pioneers, how- inaugural conference of the EDSAC, the computer at ever, show an awareness of the need for proofs of Cambridge University built under the direction of program correctness and even present workable meth- Maurice V. Wilkes. Turing had been writing programs ods (e.g., Goldstine and von Neumann 1947; Turing for an electronic computer since the end of 1945-at 1949). first for the proposed ACE, the computer project at the The 1949 paper by Alan M. -
Ted Nelson History of Computing
History of Computing Douglas R. Dechow Daniele C. Struppa Editors Intertwingled The Work and Influence of Ted Nelson History of Computing Founding Editor Martin Campbell-Kelly, University of Warwick, Coventry, UK Series Editor Gerard Alberts, University of Amsterdam, Amsterdam, The Netherlands Advisory Board Jack Copeland, University of Canterbury, Christchurch, New Zealand Ulf Hashagen, Deutsches Museum, Munich, Germany John V. Tucker, Swansea University, Swansea, UK Jeffrey R. Yost, University of Minnesota, Minneapolis, USA The History of Computing series publishes high-quality books which address the history of computing, with an emphasis on the ‘externalist’ view of this history, more accessible to a wider audience. The series examines content and history from four main quadrants: the history of relevant technologies, the history of the core science, the history of relevant business and economic developments, and the history of computing as it pertains to social history and societal developments. Titles can span a variety of product types, including but not exclusively, themed volumes, biographies, ‘profi le’ books (with brief biographies of a number of key people), expansions of workshop proceedings, general readers, scholarly expositions, titles used as ancillary textbooks, revivals and new editions of previous worthy titles. These books will appeal, varyingly, to academics and students in computer science, history, mathematics, business and technology studies. Some titles will also directly appeal to professionals and practitioners -
Alan Turing's Forgotten Ideas
Alan Turing, at age 35, about the time he wrote “Intelligent Machinery” Copyright 1998 Scientific American, Inc. lan Mathison Turing conceived of the modern computer in 1935. Today all digital comput- Aers are, in essence, “Turing machines.” The British mathematician also pioneered the field of artificial intelligence, or AI, proposing the famous and widely debated Turing test as a way of determin- ing whether a suitably programmed computer can think. During World War II, Turing was instrumental in breaking the German Enigma code in part of a top-secret British operation that historians say short- ened the war in Europe by two years. When he died Alan Turing's at the age of 41, Turing was doing the earliest work on what would now be called artificial life, simulat- ing the chemistry of biological growth. Throughout his remarkable career, Turing had no great interest in publicizing his ideas. Consequently, Forgotten important aspects of his work have been neglected or forgotten over the years. In particular, few people— even those knowledgeable about computer science— are familiar with Turing’s fascinating anticipation of connectionism, or neuronlike computing. Also ne- Ideas glected are his groundbreaking theoretical concepts in the exciting area of “hypercomputation.” Accord- ing to some experts, hypercomputers might one day in solve problems heretofore deemed intractable. Computer Science The Turing Connection igital computers are superb number crunchers. DAsk them to predict a rocket’s trajectory or calcu- late the financial figures for a large multinational cor- poration, and they can churn out the answers in sec- Well known for the machine, onds. -
History of Computer Science from Wikipedia, the Free Encyclopedia
History of computer science From Wikipedia, the free encyclopedia The history of computer science began long before the modern discipline of computer science that emerged in the 20th century, and hinted at in the centuries prior. The progression, from mechanical inventions and mathematical theories towards the modern concepts and machines, formed a major academic field and the basis of a massive worldwide industry.[1] Contents 1 Early history 1.1 Binary logic 1.2 Birth of computer 2 Emergence of a discipline 2.1 Charles Babbage and Ada Lovelace 2.2 Alan Turing and the Turing Machine 2.3 Shannon and information theory 2.4 Wiener and cybernetics 2.5 John von Neumann and the von Neumann architecture 3 See also 4 Notes 5 Sources 6 Further reading 7 External links Early history The earliest known as tool for use in computation was the abacus, developed in period 2700–2300 BCE in Sumer . The Sumerians' abacus consisted of a table of successive columns which delimited the successive orders of magnitude of their sexagesimal number system.[2] Its original style of usage was by lines drawn in sand with pebbles . Abaci of a more modern design are still used as calculation tools today.[3] The Antikythera mechanism is believed to be the earliest known mechanical analog computer.[4] It was designed to calculate astronomical positions. It was discovered in 1901 in the Antikythera wreck off the Greek island of Antikythera, between Kythera and Crete, and has been dated to c. 100 BCE. Technological artifacts of similar complexity did not reappear until the 14th century, when mechanical astronomical clocks appeared in Europe.[5] Mechanical analog computing devices appeared a thousand years later in the medieval Islamic world. -
Report on the First IEEE Workshop on the Future of Research Curation Andnational Research Reproducibility Science Foundation 5-6 November 2016 Award #1641014
Report on the First IEEE Workshop on the Future of Research Curation andNational Research Reproducibility Science Foundation 5-6 November 2016 Award #1641014 Report on the First IEEE Workshop on the Future of Research Curation and Research Reproducibility 5-6 November 2016 WASHINGTON, DC Report for NSF Award #1641014 Page 1 Report on the First IEEE Workshop on the Future of Research Curation and Research Reproducibility 5-6 November 2016 This page intentionally left blank Report for NSF Award #1641014 Page 2 Report on the First IEEE Workshop on the Future of Research Curation and Research Reproducibility 5-6 November 2016 Report on the First IEEE Workshop on The Future of Research Curation and Research Reproducibility Marriott Marquis, Washington, DC, USA 5-6 November 2016 National Science Foundation Award #1641014 Steering Committee Chair: John Baillieul, Boston University Larry Hall, University of South Florida José M.F. Moura, Carnegie Mellon Sheila Hemami, Draper Labs Gianluca Setti, University of Ferrara Michael Forster, IEEE Gerry Grenier, IEEE Fran Zappulla, IEEE John Keaton, IEEE Douglas McCormick and Kenneth Moore, rapporteurs Report for NSF Award #1641014 Page 3 Report on the First IEEE Workshop on the Future of Research Curation and Research Reproducibility 5-6 November 2016 Contents Attendees ...................................................................................................................................................... 6 Preface ......................................................................................................................................................... -
DVD Program Notes
DVD Program Notes Part One: Thor Magnusson, Alex Click Nilson is a Swedish avant McLean, Nick Collins, Curators garde codisician and code-jockey. He has explored the live coding of human performers since such Curators’ Note early self-modifiying algorithmic text pieces as An Instructional Game [Editor’s note: The curators attempted for One to Many Musicians (1975). to write their Note in a collaborative, He is now actively involved with improvisatory fashion reminiscent Testing the Oxymoronic Potency of of live coding, and have left the Language Articulation Programmes document open for further interaction (TOPLAP), after being in the right from readers. See the following URL: bar (in Hamburg) at the right time (2 https://docs.google.com/document/d/ AM, 15 February 2004). He previously 1ESzQyd9vdBuKgzdukFNhfAAnGEg curated for Leonardo Music Journal LPgLlCe Mw8zf1Uw/edit?hl=en GB and the Swedish Journal of Berlin Hot &authkey=CM7zg90L&pli=1.] Drink Outlets. Alex McLean is a researcher in the area of programming languages for Figure 1. Sam Aaron. the arts, writing his PhD within the 1. Overtone—Sam Aaron Intelligent Sound and Music Systems more effectively and efficiently. He group at Goldsmiths College, and also In this video Sam gives a fast-paced has successfully applied these ideas working within the OAK group, Uni- introduction to a number of key and techniques in both industry versity of Sheffield. He is one-third of live-programming techniques such and academia. Currently, Sam the live-coding ambient-gabba-skiffle as triggering instruments, scheduling leads Improcess, a collaborative band Slub, who have been making future events, and synthesizer design. -
Intelligence Without Reason
Intelligence Without Reason Rodney A. Brooks MIT Artificial Intelligence Lab 545 Technology Square Cambridge, MA 02139, USA Abstract certain modus operandi over the years, which includes a particular set of conventions on how the inputs and out- Computers and Thought are the two categories puts to thought and reasoning are to be handled (e.g., that together define Artificial Intelligence as a the subfield of knowledge representation), and the sorts discipline. It is generally accepted that work in of things that thought and reasoning do (e.g,, planning, Artificial Intelligence over the last thirty years problem solving, etc.). 1 will argue that these conven has had a strong influence on aspects of com- tions cannot account for large aspects of what goes into puter architectures. In this paper we also make intelligence. Furthermore, without those aspects the va the converse claim; that the state of computer lidity of the traditional Artificial Intelligence approaches architecture has been a strong influence on our comes into question. I will also argue that much of the models of thought. The Von Neumann model of landmark work on thought has been influenced by the computation has lead Artificial Intelligence in technological constraints of the available computers, and particular directions. Intelligence in biological thereafter these consequences have often mistakenly be systems is completely different. Recent work in come enshrined as principles, long after the original im behavior-based Artificial Intelligence has pro petus has disappeared. duced new models of intelligence that are much closer in spirit to biological systems. The non- From an evolutionary stance, human level intelligence Von Neumann computational models they use did not suddenly leap onto the scene. -
OFFLINE GAMING VS CLOUD GAMING (ONLINE GAMING) Mr
ISSN: 0974-3308, VOL. 11, NO. 2 DECEMBER 2018 @ SRIMCA 99 OFFLINE GAMING VS CLOUD GAMING (ONLINE GAMING) Mr. Amit Khatri Abstract—Games has always been a major source of entertainment in every generation and so exiting their history is, because it has various factor involved like Video Games Industry and various generations of video games. Due to improvements in graphics, a revolution has occurred in computer games. Storage for Video Games has always been a problem whether it is a Gaming Console or a PC but has been resolved generation by generation. Games also attracted the uninterested audience. Offline Gaming has been very popular for a year but has various drawbacks. Cloud Gaming is the resolution against Offline Gaming. This paper talks about how Cloud Gaming is taking place of Offline Gaming with much powerful hardware systems and processes. Keywords—Gaming, Cloud Gaming, Gaming PC, Gaming Console, Video Games. I. GAMING AND ITS HISTORY Computerized game playing, whether it is over a personal computer, mobile phone or a video game console can be referred to as Gaming. An individual who plays video games is recognized as a gamer [1]. In every generation of technology evolution, graphics of the game have been improved. When we think the history of video games we usually think of games like Tic- tac-toe, Tetris, Pacman, pong and many more but now these games use graphics seems like reality. In the 1950s, People can’t think of playing card games such as Solitaire, Blackjack, Hearts, Spider Solitaire and so on, on tv or computer but now the stage has reached more ahead from that [1]. -
Alan Turingturing –– Computercomputer Designerdesigner
AlanAlan TuringTuring –– ComputerComputer DesignerDesigner Brian E. Carpenter with input from Robert W. Doran The University of Auckland May 2012 Turing, the theoretician ● Turing is widely regarded as a pure mathematician. After all, he was a B-star Wrangler (in the same year as Maurice Wilkes) ● “It is possible to invent a single machine which can be used to compute any computable sequence. If this machine U is supplied with the tape on the beginning of which is written the string of quintuples separated by semicolons of some computing machine M, then U will compute the same sequence as M.” (1937) ● So how was he able to write Proposals for development in the Mathematics Division of an Automatic Computing Engine (ACE) by the end of 1945? 2 Let’s read that carefully ● “It is possible to inventinvent a single machinemachine which can be used to compute any computable sequence. If this machinemachine U is supplied with the tapetape on the beginning of which is writtenwritten the string of quintuples separated by semicolons of some computing machinemachine M, then U will compute the same sequence as M.” ● The founding statement of computability theory was written in entirely physical terms. 3 What would it take? ● A tape on which you can write, read and erase symbols. ● Poulsen demonstrated magnetic wire recording in 1898. ● A way of storing symbols and performing simple logic. ● Eccles & Jordan patented the multivibrator trigger circuit (flip- flop) in 1919. ● Rossi invented the coincidence circuit (AND gate) in 1930. ● Building U in 1937 would have been only slightly more bizarre than building a differential analyser with Meccano.