Connections: Patterns of Discovery Review

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Connections: Patterns of Discovery ReviewI found this book to be entertaining, informative, and insightful. It covers a great deal of information technology, history, and draws relationships between many different aspects of inventing across various fields of computer science. By identifying patterns in innovations, it shows how major trends developed for information processing over the past half century. In addition, it describes how some of these trends might progress over the next decade.
The book follows the connections of information flow to highlight search technology. It follows the connections of microchips in building computers, networks, and small wireless devices. Then it connects all these inventions through ubiquitous computing and a ubiquitous Web.
Like the TV-Series hosted by science historian Jake Burke, the book links ideas, innovations, and inventors to build stories about trends and interrelationships. The Information Age's innovations from vacuum tubes to transistors, from computers to networking, and simple programming to intelligent software are presented and followed by forecasts for their continued development.Connections: Patterns of Discovery Overview"In their fascinating analysis of the recent history of information technology, H. Peter Alesso and Craig F. Smith reveal the patterns in discovery and innovation that have brought us to the present tipping point. . . .
A generation from now, every individual will have personally tailored access to the whole of knowledge . . . the sooner we all begin to think about how we got here, and where we're going, the better. This exciting book is an essential
first step."—From the Foreword by James Burke
Many people envision scientists as dispassionate characters who slavishly repeat experiments until "eureka"—something unexpected happens. Actually, there is a great deal more to the story of scientific discovery, but seeing "the big picture" is not easy. Connections: Patterns of Discovery uses the primary tools of forecasting and three archetypal patterns of discovery—Serendipity, Proof of Principle, and 1% Inspiration and 99% Perspiration—to discern relationships of past developments and synthesize a cohesive and compelling vision for the future. It challenges readers to think of the consequences of extrapolating trends, such as Moore's Law, to either reach real machine intelligence or retrench in the face of physical limitations. From this perspective,the book draws "the big picture" for the Information Revolution's innovations in chips, devices, software, and networks.
With a Foreword by James Burke and bursting with fascinating detail throughout, Connections: Patterns of Discovery is a must-read for computer scientists, technologists, programmers, hardware and software developers, students, and anyone with an interest in tech-savvy topics.

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