A FINANCIAL TIMES BOOK OF THE MONTH FROM THE WALL STREET JOURNAL: ´´ Nothing Mr. Gilder says or writes is ever delivered at anything less than the fullest philosophical decibel.. . Mr. Gilder sounds less like a tech guru than a poet, and his words tumble out in a romantic cascade.´´ ´´Google´s algorithms assume the world´s future is nothing more than the next moment in a random process. George Gilder shows how deep this assumption goes, what motivates people to make it, and why it´s wrong: the future depends on human action.´´ - Peter Thiel, founder of PayPal and Palantir Technologies and author of Zero to One: Notes on Startups, or How to Build the Future The Age of Google, built on big data and machine intelligence, has been an awesome era. But it´s coming to an end. In Life after Google, George Gilder-the peerless visionary of technology and culture-explains why Silicon Valley is suffering a nervous breakdown and what to expect as the post-Google age dawns. Google´s astonishing ability to ´´search and sort´´ attracts the entire world to its search engine and countless other goodies-videos, maps, email, calendars....And everything it offers is free, or so it seems. Instead of paying directly, users submit to advertising. The system of ´´aggregate and advertise´´ works-for a while-if you control an empire of data centers, but a market without prices strangles entrepreneurship and turns the Internet into a wasteland of ads. The crisis is not just economic. Even as advances in artificial intelligence induce delusions of omnipotence and transcendence, Silicon Valley has pretty much given up on security. The Internet firewalls supposedly protecting all those passwords and personal information have proved hopelessly permeable. The crisis cannot be solved within the current computer and network architecture. The future lies with the ´´cryptocosm´´-the new architecture of the blockchain and its derivatives. Enabling cryptocurrencies such as bitcoin and ether, NEO and Hashgraph, it will provide the Internet a secure global payments system, ending the aggregate-and-advertise Age of Google. Silicon Valley, long dominated by a few giants, faces a ´´great unbundling,´´ which will disperse computer power and commerce and transform the economy and the Internet. Life after Google is almost here. For fans of ´´Wealth and Poverty,´´ ´´Knowledge and Power,´´ and ´´The Scandal of Money.´´
Machine, Platform, Crowd explains how digital technologies are changing the ways that companies organise themselves, perform, improve and compete. Digital disruptions stem from three main sources: the integration of minds and machines, of products and platforms, and of the core and the crowd. In all three cases, technological progress is shifting the balance by stressing the second element of the pair. A machine recently beat the world´s best mind at Go. Platforms built by Apple and Google outcompete excellent products by Nokia and Motorola. When the open innovation of the crowd goes head to head with corporate research and development labs, which make up the core, they often win.
As robots are increasingly integrated into modern society-on the battlefield and the road, in business, education, and health-Pulitzer-Prize-winning New York Times science writer John Markoff searches for an answer to one of the most important questions of our age: will these machines help us, or will they replace us? In the past decade alone, Google introduced us to driverless cars, Apple debuted a personal assistant that we keep in our pockets, and an Internet of Things connected the smaller tasks of everyday life to the farthest reaches of the internet. There is little doubt that robots are now an integral part of society, and cheap sensors and powerful computers will ensure that, in the coming years, these robots will soon act on their own. This new era offers the promise of immense computing power, but it also reframes a question first raised more than half a century ago, at the birth of the intelligent machine: Will we control these systems, or will they control us? In Machines of Loving Grace, New York Times reporter John Markoff, the first reporter to cover the World Wide Web, offers a sweeping history of the complicated and evolving relationship between humans and computers. Over the recent years, the pace of technological change has accelerated dramatically, reintroducing this difficult ethical quandary with newer and far weightier consequences. As Markoff chronicles the history of automation, from the birth of the artificial intelligence and intelligence augmentation communities in the 1950s, to the modern day brain trusts at Google and Apple in Silicon Valley, and on to the expanding tech corridor between Boston and New York, he traces the different ways developers have addressed this fundamental problem and urges them to carefully consider the consequences of their work. We are on the verge of a technological revolution, Markoff argues, and robots will profoundly transform the way our lives are organized. Developers must now draw a bright line between what is human and what is machine, or risk upsetting the delicate balance between them.
We are living in strange times: the largest taxi company owns no vehicles and employs no drivers, software can quickly reach super-human performance at games whose rules and strategies it never learned and people can now execute complex financial transactions without banks, courts or trust. Digital disruptions stem from three main sources: the integration of minds and machines, of products and platforms, and of the core and the crowd. In all three cases, technological progress is shifting the balance by stressing the second element of the pair. A machine recently beat the worlds best mind at Go. Platforms built by Apple and Google outcompete excellent products by Nokia and Motorola. When the open innovation of the crowd goes head to head with corporate research and development labs, which make up the core, they often win. Machine, Platform, Crowd reveals how these digital technologies are transforming the ways in which companies perform.
Practical Java Machine Learning:Projects with Google Cloud Platform and Amazon Web Services. 1st ed. Mark Wickham
Machine Translation evaluation:an analysis of two translations produced by Google Translate and English Translator XT Szymon Rutkowski
The dream of a universal translation device goes back many decades, long before Douglas Adams´s fictional Babel fish provided this service in The Hitchhiker´s Guide to the Galaxy. Since the advent of computers, research has focused on the design of digital machine translation tools - computer programs capable of automatically translating a text from a source language to a target language. This has become one of the most fundamental tasks of artificial intelligence. This volume in the MIT Press Essential Knowledge series offers a concise, nontechnical overview of the development of machine translation, including the different approaches, evaluation issues, and market potential. The main approaches are presented from a largely historical perspective and in an intuitive manner, allowing the reader to understand the main principles without knowing the mathematical details. 1. Language: English. Narrator: James Anderson Foster. Audio sample: http://samples.audible.de/bk/gdan/002840/bk_gdan_002840_sample.mp3. Digital audiobook in aax.
Practical Java Machine Learning:Projects with Google Cloud Platform and Amazon Web Services Mark Wickham
Data Science on the Google Cloud Platform:Implementing end-to-end real-time data pipelines: from ingest to machine learning Valliappa Lakshmanan