Two Pioneering Projects from the Early History of Computer-Aided Algorithmic Composition
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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. -
Who Did What? Engineers Vs Mathematicians Title Page America Vs Europe Ideas Vs Implementations Babbage Lovelace Turing
Who did what? Engineers vs Mathematicians Title Page America vs Europe Ideas vs Implementations Babbage Lovelace Turing Flowers Atanasoff Berry Zuse Chandler Broadhurst Mauchley & Von Neumann Wilkes Eckert Williams Kilburn SlideSlide 1 1 SlideSlide 2 2 A decade of real progress What remained to be done? A number of different pioneers had during the 1930s and 40s Memory! begun to make significant progress in developing automatic calculators (computers). Thanks (almost entirely) to A.M. Turing there was a complete theoretical understanding of the elements necessary to produce a Atanasoff had pioneered the use of electronics in calculation stored program computer – or Universal Turing Machine. Zuse had mad a number of theoretical breakthroughs Not for the first time, ideas had outstripped technology. Eckert and Mauchley (with JvN) had produced ENIAC and No-one had, by the end of the war, developed a practical store or produced the EDVAC report – spreading the word memory. Newman and Flowers had developed the Colossus It should be noted that not too many people were even working on the problem. SlideSlide 3 3 SlideSlide 4 4 The players Controversy USA: Eckert, Mauchley & von Neumann – EDVAC Fall out over the EDVAC report UK: Maurice Wilkes – EDSAC Takeover of the SSEM project by Williams (Kilburn) UK: Newman – SSEM (what was the role of Colossus?) Discord on the ACE project and the departure of Turing UK: Turing - ACE EDSAC alone was harmonious We will concentrate for a little while on the SSEM – the winner! SlideSlide 5 5 SlideSlide 6 6 1 Newman & technology transfer: Secret Technology Transfer? the claim Donald Michie : Cryptanalyst An enormous amount was transferred in an extremely seminal way to the post war developments of computers in Britain. -
Hereby the Screen Stands in For, and Thereby Occludes, the Deeper Workings of the Computer Itself
John Warnock and an IDI graphical display unit, University of Utah, 1968. Courtesy Salt Lake City Deseret News . 24 doi:10.1162/GREY_a_00233 Downloaded from http://www.mitpressjournals.org/doi/pdf/10.1162/GREY_a_00233 by guest on 27 September 2021 The Random-Access Image: Memory and the History of the Computer Screen JACOB GABOURY A memory is a means for displacing in time various events which depend upon the same information. —J. Presper Eckert Jr. 1 When we speak of graphics, we think of images. Be it the windowed interface of a personal computer, the tactile swipe of icons across a mobile device, or the surreal effects of computer-enhanced film and video games—all are graphics. Understandably, then, computer graphics are most often understood as the images displayed on a computer screen. This pairing of the image and the screen is so natural that we rarely theorize the screen as a medium itself, one with a heterogeneous history that develops in parallel with other visual and computa - tional forms. 2 What then, of the screen? To be sure, the computer screen follows in the tradition of the visual frame that delimits, contains, and produces the image. 3 It is also the skin of the interface that allows us to engage with, augment, and relate to technical things. 4 But the computer screen was also a cathode ray tube (CRT) phosphorescing in response to an electron beam, modified by a grid of randomly accessible memory that stores, maps, and transforms thousands of bits in real time. The screen is not simply an enduring technique or evocative metaphor; it is a hardware object whose transformations have shaped the ma - terial conditions of our visual culture. -
Weaponization of Artificial Intelligence (AI)
Disarmament and International Security Committee (DISEC) MUNUC 33 ONLINE 1 Disarmament and International Security Committee | MUNUC 33 Online TABLE OF CONTENTS ______________________________________________________ CHAIR LETTER…………………………….….………………………….….....…3 OVERVIEW OF DISEC……………..……………………..……………………..5 TOPIC A: BIOSECURITY…….…………...……..……………………………….6 Statement of the Problem……………….……………..…………...…6 History of the Problem………………………………………………….15 Past Actions…………………………………………………………….. 19 Possible Solutions………………………………………………………. 22 Bloc Positions……………………………………………………….……25 Glossary…………………………………………………………………..27 Bibliography……………………………………………………………..29 TOPIC B: WEAPONIZATION OF ARTIFICAL INTELLIGENCE…….………...32 Statement of the Problem……………….………...………………....32 History of the Problem………………………………………………….42 Past Actions…………………………………………………………….. 46 Possible Solutions………………………………………………………. 50 Bloc Positions……………………………………………………….……52 Glossary…………………………………………………………………..54 Bibliography…………………………………………………………..... 55 2 Disarmament and International Security Committee | MUNUC 33 Online CHAIR LETTER ____________________________________________________ Dear Delegates, Welcome to MUNUC 33 and the Disarmament and International Security Committee! My name is Joanna Zhuang, and I will be your chair for this committee this year. Before you start reading this background guide, I would like to introduce myself and talk about my expectations/advice for you and this committee. I was born in Shanghai, but I grew up in Vancouver, Canada. I am a second year at the College, -
Alan Turing's Automatic Computing Engine
5 Turing and the computer B. Jack Copeland and Diane Proudfoot The Turing machine In his first major publication, ‘On computable numbers, with an application to the Entscheidungsproblem’ (1936), Turing introduced his abstract Turing machines.1 (Turing referred to these simply as ‘computing machines’— the American logician Alonzo Church dubbed them ‘Turing machines’.2) ‘On Computable Numbers’ pioneered the idea essential to the modern computer—the concept of controlling a computing machine’s operations by means of a program of coded instructions stored in the machine’s memory. This work had a profound influence on the development in the 1940s of the electronic stored-program digital computer—an influence often neglected or denied by historians of the computer. A Turing machine is an abstract conceptual model. It consists of a scanner and a limitless memory-tape. The tape is divided into squares, each of which may be blank or may bear a single symbol (‘0’or‘1’, for example, or some other symbol taken from a finite alphabet). The scanner moves back and forth through the memory, examining one square at a time (the ‘scanned square’). It reads the symbols on the tape and writes further symbols. The tape is both the memory and the vehicle for input and output. The tape may also contain a program of instructions. (Although the tape itself is limitless—Turing’s aim was to show that there are tasks that Turing machines cannot perform, even given unlimited working memory and unlimited time—any input inscribed on the tape must consist of a finite number of symbols.) A Turing machine has a small repertoire of basic operations: move left one square, move right one square, print, and change state. -
Social Construction and the British Computer Industry in the Post-World War II Period
The rhetoric of Americanisation: Social construction and the British computer industry in the Post-World War II period By Robert James Kirkwood Reid Submitted to the University of Glasgow for the degree of Doctor of Philosophy in Economic History Department of Economic and Social History September 2007 1 Abstract This research seeks to understand the process of technological development in the UK and the specific role of a ‘rhetoric of Americanisation’ in that process. The concept of a ‘rhetoric of Americanisation’ will be developed throughout the thesis through a study into the computer industry in the UK in the post-war period . Specifically, the thesis discusses the threat of America, or how actors in the network of innovation within the British computer industry perceived it as a threat and the effect that this perception had on actors operating in the networks of construction in the British computer industry. However, the reaction to this threat was not a simple one. Rather this story is marked by sectional interests and technopolitical machination attempting to capture this rhetoric of ‘threat’ and ‘falling behind’. In this thesis the concept of ‘threat’ and ‘falling behind’, or more simply the ‘rhetoric of Americanisation’, will be explored in detail and the effect this had on the development of the British computer industry. What form did the process of capture and modification by sectional interests within government and industry take and what impact did this have on the British computer industry? In answering these questions, the thesis will first develop a concept of a British culture of computing which acts as the surface of emergence for various ideologies of innovation within the social networks that made up the computer industry in the UK. -
The Machine and the Cloud
the machine and the cloud Peter Harrington london n3 Frieze Masters Gloucester Green, Regent’s Park, London Thu 4 Oct Preview 12–8pm; Private View 5–8pm Fri 5 Oct 11am–7pm Sat 6 Oct 11am–7pm Sun 7 Oct 11am–6pm https://friezemasters.seetickets.com/tour/frieze-masters mayfair chelsea Peter Harrington Peter Harrington 43 dover street 100 FulHam road london w1s 4FF london sw3 6Hs uk 020 3763 3220 uk 020 7591 0220 eu 00 44 20 3763 3220 eu 00 44 20 7591 0220 usa 011 44 20 3763 3220 www.peterharrington.co.uk usa 011 44 20 7591 0220 Front & back cover: details from Marcel Duchamp’s The Bride Stripped Bare by Her Bachelors, Even, page 28. Peter Harrington london the machine and the cloud an exHibition disPlayed at Frieze Masters regent’s Park, london 4–7 october 2018 2 the machine and the cloud In his 1962 book The Gutenberg Galaxy: The Making of Typographical Man, Marshall McLuhan argued that the printing press wrought a profound change in human consciousness, especially as it occurred at about the same time as the emergence of perspective in art. Some of the unexpected consequences of this decisive moment, according to McLuhan, were the creation of nationalism, dualism, the dominance of rationalism, a drive towards homogeneity and repeatability in culture, and alienation of individuals. These are large claims, but we do not have to accept them in their entirety to agree with McLuhan’s general point that the invention of the printing press was one of the most significant technological advances ever to affect human consciousness. -
The Early History of Music Programming and Digital Synthesis, Session 20
Chapter 20. Meeting 20, Languages: The Early History of Music Programming and Digital Synthesis 20.1. Announcements • Music Technology Case Study Final Draft due Tuesday, 24 November 20.2. Quiz • 10 Minutes 20.3. The Early Computer: History • 1942 to 1946: Atanasoff-Berry Computer, the Colossus, the Harvard Mark I, and the Electrical Numerical Integrator And Calculator (ENIAC) • 1942: Atanasoff-Berry Computer 467 Courtesy of University Archives, Library, Iowa State University of Science and Technology. Used with permission. • 1946: ENIAC unveiled at University of Pennsylvania 468 Source: US Army • Diverse and incomplete computers © Wikimedia Foundation. License CC BY-SA. This content is excluded from our Creative Commons license. For more information, see http://ocw.mit.edu/fairuse. 20.4. The Early Computer: Interface • Punchcards • 1960s: card printed for Bell Labs, for the GE 600 469 Courtesy of Douglas W. Jones. Used with permission. • Fortran cards Courtesy of Douglas W. Jones. Used with permission. 20.5. The Jacquard Loom • 1801: Joseph Jacquard invents a way of storing and recalling loom operations 470 Photo courtesy of Douglas W. Jones at the University of Iowa. 471 Photo by George H. Williams, from Wikipedia (public domain). • Multiple cards could be strung together • Based on technologies of numerous inventors from the 1700s, including the automata of Jacques Vaucanson (Riskin 2003) 20.6. Computer Languages: Then and Now • Low-level languages are closer to machine representation; high-level languages are closer to human abstractions • Low Level • Machine code: direct binary instruction • Assembly: mnemonics to machine codes • High-Level: FORTRAN • 1954: John Backus at IBM design FORmula TRANslator System • 1958: Fortran II 472 • 1977: ANSI Fortran • High-Level: C • 1972: Dennis Ritchie at Bell Laboratories • Based on B • Very High-Level: Lisp, Perl, Python, Ruby • 1958: Lisp by John McCarthy • 1987: Perl by Larry Wall • 1990: Python by Guido van Rossum • 1995: Ruby by Yukihiro “Matz” Matsumoto 20.7. -
The Manchester University "Baby" Computer and Its Derivatives, 1948 – 1951”
Expert Report on Proposed Milestone “The Manchester University "Baby" Computer and its Derivatives, 1948 – 1951” Thomas Haigh. University of Wisconsin—Milwaukee & Siegen University March 10, 2021 Version of citation being responded to: The Manchester University "Baby" Computer and its Derivatives, 1948 - 1951 At this site on 21 June 1948 the “Baby” became the first computer to execute a program stored in addressable read-write electronic memory. “Baby” validated the widely used Williams- Kilburn Tube random-access memories and led to the 1949 Manchester Mark I which pioneered index registers. In February 1951, Ferranti Ltd's commercial Mark I became the first electronic computer marketed as a standard product ever delivered to a customer. 1: Evaluation of Citation The final wording is the result of several rounds of back and forth exchange of proposed drafts with the proposers, mediated by Brian Berg. During this process the citation text became, from my viewpoint at least, far more precise and historically reliable. The current version identifies several distinct contributions made by three related machines: the 1948 “Baby” (known officially as the Small Scale Experimental Machine or SSEM), a minimal prototype computer which ran test programs to prove the viability of the Manchester Mark 1, a full‐scale computer completed in 1949 that was fully designed and approved only after the success of the “Baby” and in turn served as a prototype of the Ferranti Mark 1, a commercial refinement of the Manchester Mark 1 of which I believe 9 copies were sold. The 1951 date refers to the delivery of the first of these, to Manchester University as a replacement for its home‐built Mark 1. -
1. Types of Computers Contents
1. Types of Computers Contents 1 Classes of computers 1 1.1 Classes by size ............................................. 1 1.1.1 Microcomputers (personal computers) ............................ 1 1.1.2 Minicomputers (midrange computers) ............................ 1 1.1.3 Mainframe computers ..................................... 1 1.1.4 Supercomputers ........................................ 1 1.2 Classes by function .......................................... 2 1.2.1 Servers ............................................ 2 1.2.2 Workstations ......................................... 2 1.2.3 Information appliances .................................... 2 1.2.4 Embedded computers ..................................... 2 1.3 See also ................................................ 2 1.4 References .............................................. 2 1.5 External links ............................................. 2 2 List of computer size categories 3 2.1 Supercomputers ............................................ 3 2.2 Mainframe computers ........................................ 3 2.3 Minicomputers ............................................ 3 2.4 Microcomputers ........................................... 3 2.5 Mobile computers ........................................... 3 2.6 Others ................................................. 4 2.7 Distinctive marks ........................................... 4 2.8 Categories ............................................... 4 2.9 See also ................................................ 4 2.10 References -
Second Industrial Revolution – Computer Safety and Security
Copyright Jim Thomson 2013 Safety In Engineering Ltd The Second Industrial Revolution – Computer Safety and Security “Programming today is a race between software engineers striving to build bigger and better idiot- proof programs, and the Universe trying to produce bigger and better idiots. So far, the Universe is winning.” Rick Cook “Measuring programming progress by lines of code is like measuring aircraft building progress by weight.” Bill Gates “The digital revolution is far more significant than the invention of writing or even of printing.” Douglas Engelbart “Complex systems almost always fail in complex ways.” Columbia Accident Investigation Board Report, August 2003 In the twenty-first century, it is difficult to imagine a world without computers. Almost every aspect of our lives is now tied to computers in some way or other. They are used throughout industry for the control of industrial plant and processes, manufacturing, aircraft, automobiles, washing machines, telephones and telecommunications, etcetera, etcetera. Most domestic electrical hardware now contains some sort of microprocessor control. Microprocessors are now so completely ubiquitous, and so much of our lives is completely dependent on them, that it is a continuous source of surprise to me that the people and the laboratories that led their invention and development are not household names in the same way as, say, Newton’s discovery of gravity or Darwin’s theory of evolution. Microprocessors have caused an ongoing revolution in our lives. The first industrial revolution in the nineteenth century led to steam power for factories, ships, and trains, and also to the ready availability of substances like steel, which transformed the lives of our forebears. -
A Large Routine
A large routine Freek Wiedijk It is not widely known, but already in June 1949∗ Alan Turing had the main concepts that still are the basis for the best approach to program verification known today (and for which Tony Hoare developed a logic in 1969). In his three page paper Checking a large routine, Turing describes how to verify the correctness of a program that calculates the factorial function by repeated additions. He both shows how to use invariants to establish the correctness of this program, as well as how to use a variant to establish termination. In the paper the program is only presented as a flow chart. A modern C rendering is: int fac (int n) { int s, r, u, v; for (u = r = 1; v = u, r < n; r++) for (s = 1; u += v, s++ < r; ) ; return u; } Turing's paper seems not to have been properly appreciated at the time. At the EDSAC conference where Turing presented the paper, Douglas Hartree criticized that the correctness proof sketched by Turing should not be called inductive. From a modern point of view this is clearly absurd. Marc Schoolderman first told me about this paper (and in his master's thesis used the modern Why3 tool of Jean-Christophe Filli^atreto make Turing's paper fully precise; he also wrote the above C version of Turing's program). He then challenged me to speculate what specific computer Turing had in mind in the paper, and what the actual program for that computer might have been. My answer is that the `EPICAC'y of this paper probably was the Manchester Mark 1.