Engineering Technology

Your organization has made the decision to adopt automation and artificial intelligence technologies. Now, you face difficult and stubborn questions about how to implement that decision: How, when, and where should we apply automation in our organization? Is it a stark choice between humans versus machines? How do we stay on top of these technological trends as work and automation continue to evolve? Work and human capital experts Ravin Jesuthasan and John Boudreau present leaders with a new set of tools to answer these daunting questions.

In the 1940s and '50s, a group of eccentric geniuses - led by John von Neumann - gathered at the newly created Institute for Advanced Study in Princeton, New Jersey. Their joint project was the realization of the theoretical universal machine, an idea that had been put forth by mathematician Alan Turing. This group of brilliant engineers worked in isolation, almost entirely independent from industry and the traditional academic community. But because they relied exclusively on government funding, the government wanted its share of the results....

In a field of PhDs, Tim Samaras didn’t attend a day of college in his life. He chased storms with brilliant tools of his own invention and pushed closer to the tornado than anyone else ever dared. When he achieved what meteorologists had deemed impossible, it was as if he had snatched the fire of the gods. Yet even as he transformed the field, Samaras kept on pushing.

Have you ever wondered what it would be like to find yourself strapped to a giant rocket that's about to go from zero to 17,500 miles per hour? Or to look back on Earth from outer space and see the surprisingly precise line between day and night? Or to stand in front of the Hubble Space Telescope, wondering if the emergency repair you're about to make will inadvertently ruin humankind's chance to unlock the universe's secrets? Mike Massimino has been there, and in Spaceman he puts you inside the suit.

In 40 years, Earth's population will reach 10 billion. Can our world support that? What kind of world will it be? Those answering these questions generally fall into two deeply divided groups - Wizards and Prophets, as Charles Mann calls them in this balanced, authoritative, nonpolemical new book. The Prophets, he explains, follow William Vogt, a founding environmentalist who believed that in using more than our planet has to give, our prosperity will lead us to ruin.

This audiobook will help you get ready for the changes coming in the years ahead. Listen now. Packed with expert insights, the book addresses critical questions: How will AI alter employment, education, and global geopolitics? What ethical dilemmas will arise as humans interlace with AI through cyborgs and synthetic biology? Can we prepare for superintelligence and its utopian—or dystopian—outcomes?

In 1942, a team at the University of Chicago achieved what no one had before: a nuclear chain reaction. At the forefront of this breakthrough stood Enrico Fermi. Straddling the ages of classical physics and quantum mechanics, equally at ease with theory and experiment, Fermi truly was the last man who knew everything - at least about physics. But he was also a complex figure who was a part of both the Italian Fascist Party and the Manhattan Project, and a less-than-ideal father and husband who nevertheless remained one of history's greatest mentors.

Predicting society’s present addiction to technology, our challenges with data privacy, and the dramatic increase in drug overdoses and depression that have accompanied a technology-induced lack of purpose, The Unabomber’s vision of the future has become our reality. Of course, his means were disgusting and condemnable. But his message is more important than ever. If we want to thrive in an age where automation and artificial intelligence and rapidly making humans obsolete, it is our responsibility to understand and prepare for the technological machine we are up against.

What does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create? With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing.

There may never be another era of science like the first half of the twentieth century, when many of the most important physicists ever to live—Marie Curie, Max Planck, Wolfgang Pauli, Niels Bohr, Werner Heisenberg, Ernst Schrödinger, Albert Einstein, and others—came together to uncover the quantum world: a concept so outrageous and shocking, so contrary to traditional physics, that its own founders rebelled against it until the equations held up and fundamentally changed our understanding of reality. Tobias Hürter takes us back to this uniquely momentous and harrowing time.

Paul Dirac was among the great scientific geniuses of the modern age. One of the discoverers of quantum mechanics, the most revolutionary theory of the past century, his contributions had a unique insight, eloquence, clarity, and mathematical power. His prediction of antimatter was one of the greatest triumphs in the history of physics.

As lives offline and online merge, it's easy to forget how we got here. Rise of the Machines reclaims the story of cybernetics, a control theory of man and machine. Thomas Rid delivers a portrait of our technology-enraptured era. Springing from mathematician Norbert Wiener amid the devastation of World War II, the cybernetic vision underpinned a host of myths about the future of machines. This vision radically transformed the postwar world, ushering in sweeping cultural change.

Nikola Tesla was a scientist and inventor in the late 1800s and early 1900s. Among his many inventions and experiments, he helped create the modern electricity system. Learn more about Tesla's life as a famous inventor!

"Ants are the most warlike of all animals, with colony pitted against colony.... Their clashes dwarf Waterloo and Gettysburg", writes Edward O. Wilson in his most finely observed work in decades. In a myrmecological tour to such far-flung destinations as Mozambique and New Guinea, the Gulf of Mexico's Dauphin Island and even his parents' overgrown yard back in Alabama, Wilson thrillingly evokes his nine-decade-long scientific obsession with more than 15,000 ant species.

In 1939, Richard Feynman, a brilliant graduate of MIT, arrived in John Wheeler's Princeton office to report for duty as his teaching assistant. A lifelong friendship and enormously productive collaboration was born, despite sharp differences in personality. The soft-spoken Wheeler, though conservative in appearance, was a raging nonconformist full of wild ideas about the universe. The boisterous Feynman was a cautious physicist who believed only what could be tested. Yet they were complementary spirits.

A born naturalist and a fearless traveler, Vladimir Dinets wrote travel guides, conducted field research, and lived a couple of lives before he was accepted into the PhD program in zoology at the University of Miami. He thought crocodiles were a dead-end research topic - survivors from the age of the dinosaurs but not much else - until he witnessed groups of up to seventy alligators performing mating choruses that included infrasound vibrations - a form of communication extremely rare in nature.

Have you ever wondered what it takes to pass one of the most challenging engineering exams on your first attempt? Learn to turn complex principles into clear, practical knowledge and gain the confidence to tackle any question.

On the morning of April 26, 1986, Europe witnessed the worst nuclear disaster in history: the explosion of a reactor at the Chernobyl Nuclear Power Plant in Soviet Ukraine. Dozens died of radiation poisoning, fallout contaminated half the continent, and thousands fell ill. In Chernobyl, Serhii Plokhy draws on new sources to tell the dramatic stories of the firefighters, scientists, and soldiers who heroically extinguished the nuclear inferno. He lays bare the flaws of the Soviet nuclear industry....

We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.