Birthing the Computer: From Drums to Cores examines the evolution of computer systems architecture based on two evolutionary developments: memory technology – magnetic drums to magnetic cores – and CPU technology – transistors. This evolution, exemplified by a number of academic and commercial computing machines, yielded significant performance improvements and more storage leading to more effective utilization. These features would drive the development of programming languages and system software that would enhance the usability of the machines to solve more complex problems in both business, government, and scientific domains. The machines described in this volume represent the leading edge of the transition to second generation computer systems. They introduce a number of key technology concepts in computer architecture and system software that are found in every computer system today, albeit in a more modern form.

Birthing the Computer: From Relays to Vacuum Tubes is the first in a multi-volume series on historical computing machines. This series will span the development of computer systems from the Zuse machines of the early 1930s to about 1995 when microprocessors began to be commoditized. Each volume will focus on a range of technologies, or a class of machines or a particular vendor, and will describe the hardware of the machines and its peripherals, the operating system and system software, and its influence upon programming languages. This volume begins with the Zuse machines which were constructed from relays, but contained the basic elements of a computer system, namely input, computing engine, and output. Early machines from Atanasoff and Berry, Aiken, Stibitz, and IBM are described. The transition from relays to vacuum tubes increased speed and performance significantly, and led to the first true computers in ENIAC, EDSAC, and EDVAC which used paper tape and Williams tubes for I/O and storage. These machines were built by universities. Several early machines were purpose built such as Colossus and BINAC, and created with government support and industrial know-how. By the mid-to-late ‘50s, computing machines were being built by universities (the SSEM, Whirlwind, and IAS machines), governments (the NBS SEAC and SWAC, and several other machines), and industry (the UNIVAC series and the English Electric DEUCE). Most of these machines were constructed using the von Neumann architecture, and represent an evolution of thinking in how computing machines were to operate along with some innovative ideas in software and programming languages. By the end of the 1950s, the design, development, programming and use of computing machines were in full ferment as many new ideas were proposed, many different machines were designed and some were constructed. Computing machines became a commercial enterprise. Governments receded from building machines to levying requirements and funding construction, while universities continued to explore new architectures, new operating systems, and new programming languages.

In 1936, when he was just twenty-four years old, Alan Turing wrote a remarkable paper in which he outlined the theory of computation, laying out the ideas that underlie all modern computers. This groundbreaking and powerful theory now forms the basis of computer science. In Turing's Vision, Chris Bernhardt explains the theory, Turing's most important contribution, for the general reader. Bernhardt argues that the strength of Turing's theory is its simplicity, and that, explained in a straightforward manner, it is eminently understandable by the nonspecialist. As Marvin Minsky writes, "The sheer simplicity of the theory's foundation and extraordinary short path from this foundation to its logical and surprising conclusions give the theory a mathematical beauty that alone guarantees it a permanent place in computer theory." Bernhardt begins with the foundation and systematically builds to the surprising conclusions. He also views Turing's theory in the context of mathematical history, other views of computation (including those of Alonzo Church), Turing's later work, and the birth of the modern computer. In the paper, "On Computable Numbers, with an Application to the Entscheidungsproblem," Turing thinks carefully about how humans perform computation, breaking it down into a sequence of steps, and then constructs theoretical machines capable of performing each step. Turing wanted to show that there were problems that were beyond any computer's ability to solve; in particular, he wanted to find a decision problem that he could prove was undecidable. To explain Turing's ideas, Bernhardt examines three well-known decision problems to explore the concept of undecidability; investigates theoretical computing machines, including Turing machines; explains universal machines; and proves that certain problems are undecidable, including Turing's problem concerning computable numbers.

In the 1970s, while their contemporaries were protesting the computer as a tool of dehumanization and oppression, a motley collection of college dropouts, hippies, and electronics fanatics were engaged in something much more subversive. Obsessed with the idea of getting computer power into their own hands, they launched from their garages a hobbyist movement that grew into an industry, and ultimately a social and technological revolution. What they did was invent the personal computer: not just a new device, but a watershed in the relationship between man and machine. This is their story. Fire in the Valley is the definitive history of the personal computer, drawn from interviews with the people who made it happen, written by two veteran computer writers who were there from the start. Working at InfoWorld in the early 1980s, Swaine and Freiberger daily rubbed elbows with people like Steve Jobs and Bill Gates when they were creating the personal computer revolution. A rich story of colorful individuals, Fire in the Valley profiles these unlikely revolutionaries and entrepreneurs, such as Ed Roberts of MITS, Lee Felsenstein at Processor Technology, and Jack Tramiel of Commodore, as well as Jobs and Gates in all the innocence of their formative years. This completely revised and expanded third edition brings the story to its completion, chronicling the end of the personal computer revolution and the beginning of the post-PC era. It covers the departure from the stage of major players with the deaths of Steve Jobs and Douglas Engelbart and the retirements of Bill Gates and Steve Ballmer; the shift away from the PC to the cloud and portable devices; and what the end of the PC era means for issues such as personal freedom and power, and open source vs. proprietary software.

How science fiction's most famous computer has influenced the research and design of intelligent machines.

Tracy Kidder's "riveting" (Washington Post) story of one company's efforts to bring a new microcomputer to market won both the Pulitzer Prize and the National Book Award and has become essential reading for understanding the history of the American tech industry. Computers have changed since 1981, when The Soul of a New Machine first examined the culture of the computer revolution. What has not changed is the feverish pace of the high-tech industry, the go-for-broke approach to business that has caused so many computer companies to win big (or go belly up), and the cult of pursuing mind-bending technological innovations. The Soul of a New Machine is an essential chapter in the history of the machine that revolutionized the world in the twentieth century. "Fascinating...A surprisingly gripping account of people at work." --Wall Street Journal

This work explores the conception, design, construction, use, and afterlife of ENIAC, the first general purpose digital electronic computer.

Traces the 200-year evolution of the principles of Jacquard's knitting machines to the information revolution of the twentieth century and the desk-top computer of today. --From cover (p. 4).

Silicon Valley gets all the credit for digital creativity, but this account of the pre-PC world, when computing meant more than using mature consumer technology, challenges that triumphalism. The invention of the personal computer liberated users from corporate mainframes and brought computing into homes. But throughout the 1960s and 1970s a diverse group of teachers and students working together on academic computing systems conducted many of the activities we now recognize as personal and social computing. Their networks were centered in New Hampshire, Minnesota, and Illinois, but they connected far-flung users. Joy Rankin draws on detailed records to explore how users exchanged messages, programmed music and poems, fostered communities, and developed computer games like The Oregon Trail. These unsung pioneers helped shape our digital world, just as much as the inventors, garage hobbyists, and eccentric billionaires of Palo Alto. By imagining computing as an interactive commons, the early denizens of the digital realm seeded today’s debate about whether the internet should be a public utility and laid the groundwork for the concept of net neutrality. Rankin offers a radical precedent for a more democratic digital culture, and new models for the next generation of activists, educators, coders, and makers.

A revealing genealogy of image-recognition techniques and technologies Today’s most advanced neural networks and sophisticated image-analysis methods come from 1950s and ’60s Cold War culture—and many biases and ways of understanding the world from that era persist along with them. Aerial surveillance and reconnaissance shaped all of the technologies that we now refer to as computer vision, including facial recognition. The Birth of Computer Vision uncovers these histories and finds connections between the algorithms, people, and politics at the core of automating perception today. James E. Dobson reveals how new forms of computerized surveillance systems, high-tech policing, and automated decision-making systems have become entangled, functioning together as a new technological apparatus of social control. Tracing the development of a series of important computer-vision algorithms, he uncovers the ideas, worrisome military origins, and lingering goals reproduced within the code and the products based on it, examining how they became linked to one another and repurposed for domestic and commercial uses. Dobson includes analysis of the Shakey Project, which produced the first semi-autonomous robot, and the impact of student protest in the early 1970s at Stanford University, as well as recovering the computer vision–related aspects of Frank Rosenblatt’s Perceptron as the crucial link between machine learning and computer vision. Motivated by the ongoing use of these major algorithms and methods, The Birth of Computer Vision chronicles the foundations of computer vision and artificial intelligence, its major transformations, and the questionable legacy of its origins. Cover alt text: Two overlapping circles in cream and violet, with black background. Top is a printed circuit with camera eye; below a person at a 1977 computer.