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Physics of the Future: How Science Will Shape Human Destiny and Our Daily Lives by the Year 2100 Paperback – Abridged, February 21, 2012
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From Publishers Weekly
Kaku (Physics of the Impossible), a professor of physics at the CUNY Graduate Center, gathers ideas from more than 300 experts, scientists, and researchers at the cutting edge of their fields, to offer a glimpse of what the next 100 years may bring. The predictions all conform to certain ground rules (e.g., "Prototypes of all technologies mentioned... already exist"), and some seem obvious (computer chips will continue to get faster and smaller). Others seem less far-fetched than they might have a decade ago: for instance, space tourism will be popular, especially once a permanent base is established on the moon. Other predictions may come true—downloading the Internet right into a pair of contact lenses—but whether they're desirable is another matter. Some of the predictions are familiar but still startling: robots will develop emotions by mid-century, and we will start merging mind and body with them. Despite the familiarity of many of the predictions to readers of popular science and science fiction, Kaku's book should capture the imagination of everyday readers. (Mar.)
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Following in the footsteps of Leonardo da Vinci and Jules Verne, Kaku, author of a handful of books about science, looks into the not-so-distant future and envisions what the world will look like. It should be an exciting place, with driverless cars, Internet glasses, universal translators, robot surgeons, the resurrection of extinct life forms, designer children, space tourism, a manned mission to Mars, none of which turn out to be as science-fictiony as they sound. In fact, the most exciting thing about the book is the fact that most of the developments Kaku discusses can be directly extrapolated from existing technologies. Robot surgeons and driverless cars, for example, already exist in rudimentary forms. Kaku, a physics professor and one of the originators of the string field theory (an offshoot of the more general string theory), draws on current research to show how, in a very real sense, our future has already been written. The book�s lively, user-friendly style should appeal equally to fans of science fiction and popular science. --David Pitt
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Top Customer Reviews
Kaku is a recognized authority connected to many fields of science, so he is not merely an outsider writing a book. He also recognizes the boundaries of our technology. Even in a hundred years, he suggests, we will not have robuts capable of creative thought. We will not travel faster than light, etc.
He may be too optimistic about human nature. While recognizing how some technology can be misused by criminals or hostile governments, his optimistic outlook wants to believe such problems will be solved or their impacts minimal. I am a little skeptical about this.
This is one of those books you cannot put down. Since it is already a few years old, a few of Kaku's predictions have already come to pass, although he did miss the oil glut we are now experiencing.
If you are particularly interested in medical sciences, there is a whole chapter on medicine of the future as well as supporting details in many other chapters.
This book, Dr. Kaku's latest, ponders what is coming up as we reach for the magic year 2100. The cover of the book states, "How science will shape human destiny and our daily lives..." That is precisely what this book did.
We look at Artificial Intelligence, Computers, Medicine, Energy, Space travel, Education, Wealth and more. He takes us from the past to what is feasible in stages every generation or so. Even the topic of basic Humanity is discussed and projected upon.
Humor is added as he refers back to 'Star Trek' and other Sci Fi benchmarks in our entertainment world. The view of a replicator for instance. Nano-bio technologies that are already in use. We should be careful of what we 'wish.'
This was an important book and I do suggest everyone take the time to study it. It is not dry like a textbook, but filled with data.