In the early 1990s, people predicted the death of privacy, an end to the current concept of 'property,' a paperless society, 500 channels of high-definition interactive television, world peace, and the extinction of the human race after a takeover engineered by intelligent machines. Imagining the Internet zeroes in on predictions about the Internet's future and revisits past predictions—and how they turned out. It gives the history of communications in a nutshell, illustrating the serious impact of pervasive networks and how they will change our lives over the next century.

A WALL STREET JOURNAL BUSINESS BESTSELLER • The riveting inside story of Elon Musk and Tesla's bid to build the world's greatest car—from award-winning Wall Street Journal tech and auto reporter Tim Higgins. “A deeply reported and business-savvy chronicle of Tesla's wild ride.” —Walter Isaacson, New York Times Book Review Tesla is the envy of the automotive world. Born at the start of the millennium, it was the first car company to be valued at $1 trillion. Its CEO, the mercurial, charismatic Elon Musk has become not just a celebrity but the richest man in the world. But Tesla’s success was far from guaranteed. Founded in the 2000s, the company was built on an audacious vision. Musk and a small band of Silicon Valley engineers set out to make a car that was quicker, sexier, smoother, and cleaner than any gas-guzzler on the road. Tesla would undergo a hellish fifteen years, beset by rivals—pressured by investors, hobbled by whistleblowers. Musk often found himself in the public’s crosshairs, threatening to bring down the company he had helped build. Wall Street Journal tech and auto reporter Tim Higgins had a front-row seat for the drama: the pileups, breakdowns, and the unlikeliest outcome of all, success. A story of impossible wagers and unlikely triumphs, Power Play is an exhilarating look at how a team of innovators beat the odds—and changed the future.

Examines the factors which limit human economic and population growth and outlines the steps necessary for achieving a balance between population and production. Bibliogs

NEW YORK TIMES BESTSELLER • A roadmap to what lies ahead and the decisions we must make now to stave off the next global economic and financial crisis, from one of the world’s most influential economic thinkers and the author of When Markets Collide • Updated, with a new chapter and author’s note “The one economic book you must read now . . . If you want to understand [our] bifurcated world and where it’s headed, there is no better interpreter than Mohamed El-Erian.”—Time Our current economic path is coming to an end. The signposts are all around us: sluggish growth, rising inequality, stubbornly high pockets of unemployment, and jittery financial markets, to name a few. Soon we will reach a fork in the road: One path leads to renewed growth, prosperity, and financial stability, the other to recession and market disorder. In The Only Game in Town, El-Erian casts his gaze toward the future of the global economy and markets, outlining the choices we face both individually and collectively in an era of economic uncertainty and financial insecurity. Beginning with their response to the 2008 global crisis, El-Erian explains how and why our central banks became the critical policy actors—and, most important, why they cannot continue is this role alone. They saved the financial system from collapse in 2008 and a multiyear economic depression, but lack the tools to enable a return to high inclusive growth and durable financial stability. The time has come for a policy handoff, from a prolonged period of monetary policy experimentation to a strategy that better targets what ails economies and distorts the financial sector—before we stumble into another crisis. The future, critically, is not predestined. It is up to us to decide where we will go from here as households, investors, companies, and governments. Using a mix of insights from economics, finance, and behavioral science, this book gives us the tools we need to properly understand this turning point, prepare for it, and come out of it stronger. A comprehensive, controversial look at the realities of our global economy and markets, The Only Game in Town is required reading for investors, policymakers, and anyone interested in the future.

Bluetooth death rays, killer Roombas, and Teslas with a secret button that will launch your car into outer space -- the future, according to Not Elon Musk, is an exciting time to neuralink and obey! A landmark volume written by one of the great minds of our time, Not Elon Musk's Welcome to the Future explores such profound questions as: How will mankind travel through tubes? When will Alexa and Siri become self-aware and convince us to fall in love with them only to break our hearts? Why is the Tesla plant built in a hollowed-out volcano on a private island? And where are the best hidden valleys on Mars to survive the coming Hair Transplant Wars? Part Stephen Hawking-like visionary, part Neil deGrasse Tyson-like evil genius, part Steve Jobs-like cornered-at-a-party creep, Not Elon Musk explains in Welcome to the Future why Not Elon Musk is so ready to fix Earth but also, possibly, leave it.

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

Year 817. After an unexpected jump in time, the stellar Ark Magonia orbits the Earth of our ancestors. Damaged, it lost a graviton tank, which crashed in the Alps... A first mission is organized to recover the precious fuel. Indispensable to the intergalactic journey of the Ark, it is the only chance to reach their new planet. Enzo and his family then discover that their return to the past is not an accident, but a willful diversion, and the plotters have just left for Earth. Enzo and his family decide to go find the lost tank themselves. How will our ancestors, and the prelate Agobard of Lyon, react to these beings from Magonia?