Connections (E-Book) von H. Peter Alesso

Introduction.

Acknowledgements.

Organization of this Book.

Chapter 1: Connecting Information.

The Google Story.

Information Revolution.

Defining Information.

Looking Good.

Google Connects Information.

Patterns of Discovery.

Forecast for Connecting Information.

Chapter 2: Connecting Circuits.

The Moore' Law Story.

Edison's Electric Light.

The Vacuum Tube Diode.

The First Programmable Computers.

ENIAC.

The Transistor.

How Transistors Work.

The Proof of Principle for the Transistor.

The Microprocessor.

How Microprocessors Work.

Moore's law.

Patterns of Discovery.

Forecast for Connecting Circuits .

Chapter 3: Connecting Chips.

The Personal Computer Story.

Vannevar Bush.

Robert Taylor.

J.C.R. Licklider.

Alan Kay.

Butler Lampson.

Charles (Chuck) Thacker.

Personal Computing.

The Xerox Alto.

Apple Computer.

IBM PC.

Patterns of Discovery.

Forecast for Connecting Chips.

Chapter 4: Connecting Processes.

The Software Story.

John Von Neumann.

Claude Shannon.

The Evolution of Programming Languages.

Sir Charles Antony Richard (Tony) Hoare.

Software as an Industry.

Software Productivity.

Fourth Generation Languages.

Proprietary versus Open Standards.

Emergent Fifth Generation Languages (5GLs).

Charles Simonyi.

William H. Gates.

Linus Torvalds.

Patterns of Discovery.

Forecast for Connecting Processes.

Chapter 5: Connecting Machines.

The Ethernet Story.

Xerox PARC and Ethernet.

Robert Metcalf.

Patterns of Discovery.

Forecast for Connecting Machines.

Chapter 6: Connecting Networks.

The Internet Story.

Vint Cerf.

Transition to the World Wide Web.

Berners-Lee.

Patterns of Discovery.

Forecast for Connecting Machines.

Chapter 7: Connecting Devices.

The Ubiquitous Computing Story.

Ubiquitous Computing.

Mark Weiser.

Jeff Hawkins.

Patterns of Discovery.

Forecast for Connecting Devices.

Chapter 8: Connecting the Web.

The Ubiquitous Web Story.

Michael Dertouzos.

Project Oxygen.

Perfect Search.

Berners-Lee and the Semantic Web.

Patterns of Discovery.

Forecast for Connecting the Web.

Chapter 9: Connecting the Intelligence.

The Ubiquitous Intelligence Story.

Kurt Gödel.

Alan Turing.

Marvin Minsky.

Ubiquitous Intelligence .

The Web 'Brain'.

What is Web Intelligence?

Patterns of Discovery.

Forecast for Connecting Intelligence.

Chapter 10: Connecting Patterns.

Ray Kurzweil.

Evolving Complex Intelligence.

The Law of Accelerating Returns.

Singularities.

The Software of Intelligence.

Patterns.

Connecting Pattern.

Patterns of Discovery.

Forecasts for Connecting Patterns.

Epilog.

Bibliography.

Glossary.

Index.

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 discoverySerendipity, Proof of Principle, and 1% Inspiration and 99% Perspirationto 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.

H. Peter Alesso is an innovator with twenty years of research experience at LawrenceLivermore National Laboratory (LLNL). As Engineering Group Leader at LLNL, he has leda team of computer scientists and engineers in a wide range of successful software and hardware research projects. He has published several software titles, numerous scientific journaland conference articles, and four books.

Craig F. Smith, PhD, is a Fellow of the American Association for the Advancement ofScience and is the Lawrence Livermore Chair Professor at the Naval Postgraduate School in Monterey, California. His areas of interest include sensors, robotics, and automated systems; information technology applications; and future energy systems. Dr. Smith has coauthoredthree books and has published numerous scientific journal and conference articles on advanced engineering topics.