
GIANT BRAINSORMACHINES THAT THINK
PREFACE The Subject, Purpose, and Methodof this Book
ACKNOWLEDGMENTS
Chapter 1 CAN MACHINES THINK?WHAT IS A MECHANICAL BRAIN?
Chapter 2 LANGUAGES:SYSTEMS FOR HANDLING INFORMATION
Chapter 3 A MACHINE THAT WILL THINK: THE DESIGN OF A VERY SIMPLE MECHANICAL BRAIN
Chapter 4 COUNTING HOLES: PUNCH-CARD CALCULATING MACHINES
Chapter 5 MEASURING: MASSACHUSETTS INSTITUTE OF TECHNOLOGY’S DIFFERENTIAL ANALYZER NO. 2
Chapter 6 ACCURACY TO 23 DIGITS: HARVARD’S IBM AUTOMATIC SEQUENCE-CONTROLLED CALCULATOR
Chapter 7 SPEED—5000 ADDITIONS A SECOND: MOORE SCHOOL’S ENIAC ELECTRONIC NUMERICAL INTEGRATOR AND CALCULATOR
This book offers a clear, conversational tour of the first generation of machines that began to think like brains. It explains how early “mechanical brains” such as MIT’s differential analyzer, Harvard’s IBM calculator, the ENIAC, and Bell Labs’ relay computer were conceived, built, and put to work during the 1940s. The author walks listeners through the basic physics, algebra, and logic behind the devices, showing why their speed and reliability could replace hundreds of human workers in science, business, and government.
Beyond the hardware, the narrative explores what it means for a machine to handle information, reason, and solve problems, drawing parallels to language, symbols, and the human nervous system. Readers are invited to ponder how these pioneering calculators might reshape society, much like the printing press did for writing. The structure lets you dip in wherever curiosity strikes—whether you want a high‑level story or a deeper dive into the mathematics that made the first thinking machines possible.
Language
en
Duration
~8 hours (486K characters)
Publisher of text edition
Project Gutenberg
Original publisher
United States: John Wiley & Sons, 1949.
Credits
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.)
Release date
Sep 14, 2022
Rights
Public domain in the USA.
Subjects

1909–1988
A lively early champion of computing, he helped introduce the public to the idea that machines could “think” long before computers became everyday tools. He also co-founded the Association for Computing Machinery and wrote with unusual clarity about the promises and risks of the computer age.
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