Smart Machine

In this audiobook, Sean Gerrish offers an engaging and accessible overview of the breakthroughs in artificial intelligence and machine learning that have made today's machines so smart. Science and technology buffs will find this audiobook an essential guide to a future in which machines can outsmart people.

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.

This audiobook is masterfully read by the author, Mo Gawdat. One of The Sunday Times' Business Books of the Year Technology is putting our humanity at risk to an unprecedented degree. This book is not for engineers who write the code or the policy makers who claim they can regulate it. This is a...

In an exposition reminiscent of crossover works such as Gödel, Escher, Bach and Fermat's Last Theorem, Andrew Smart weaves together Mangarevan binary numbers, the discovery of LSD, Leibniz, computer programming, and much more to connect the vast but largely forgotten world of psychedelic research with the resurgent field of AI and the attempt to build conscious robots.

Jamie Merisotis, author of the award-winning 2016 book America Needs Talent, argues that people will coexist with smart machines by learning, earning, and serving others over their lifetimes. But Merisotis asserts large-scale change is necessary to develop and hone the knowledge, skills, and abilities that render us uniquely human. These qualities include compassion, critical thinking, ethical reasoning, and interpersonal communication.

In this audiobook, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general listener, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context.

Tracy Kidder's "riveting" (Washington Post) story of one company's efforts to bring a new microcomputer to market won both the Pulitzer Prize and the National Book Award and has become essential reading for understanding the history of the American tech industry. Computers have changed since...

Hugh Howey is known for crafting riveting and immersive tales of boundless imagination. Now comes Machine Learning, an impressive collection of Howey's science fiction and fantasy short fiction, including three stories set in the world of Wool, two never-before-published tales written exclusively for this volume, and 15 additional stories collected here for the first time. These stories explore everything from artificial intelligence to parallel universes to video games, and each story is accompanied by an author's note.

Over the past 10 years, urban planners, technology companies, and governments have promoted smart cities with a somewhat utopian vision of urban life made knowable and manageable through data collection and analysis. Emerging smart cities have become both crucibles and showrooms for the practical application of the Internet of Things, cloud computing, and the integration of big data into everyday life. Are smart cities optimized, sustainable, digitally networked solutions to urban problems? Or are they neoliberal, corporate-controlled, undemocratic non-places?

Leaders already know that the classic approach to strategy - analyze, plan, execute - is losing relevance. But they don't yet know what replaces it. As everyone and everything becomes more interconnected and digitized, how do you operate, compete, and win? Ming Zeng, the former chief of staff and strategy adviser to Alibaba Group's founder, Jack Ma, explains how the latest technological developments, such as artificial intelligence, machine learning, the mobile internet, and cloud computing, are redefining how value is created.

In Only Humans Need Apply, Thomas Hayes Davenport and Julia Kirby reframe the conversation about automation, arguing that the future of increased productivity and business success isn't either human or machine. It's both. The key is augmentation, utilizing technology to help humans work better, smarter, and faster. Instead of viewing these machines as competitive interlopers, we can see them as partners and collaborators in creative problem solving as we move into the next era.

Im ersten Elternratgeber zum Thema künstliche Intelligenz zeigen KI-Experte Kai Spriestersbach und Spiegel-Bestseller-Autorin Leonie Lutz, wie ein sicherer und kreativer Umgang mit KI im Familien- und Schulalltag gelingen kann. Sie helfen zu verstehen, wie KI funktioniert und vermitteln Tools, die eine echte Bereicherung fürs Lernen sein können – inklusive praxisnaher Tipps, wie KI nervige Alltagsthemen vereinfacht.

Move over, Moneyball―this New York Times bestseller examines major league baseball's next cutting-edge revolution: the high-tech quest to build better players. "A convincing, and faith-restoring, case that genuine, unadulterated miracles can happen in baseball."―Washington Post As...

Worin besteht das Geheimnis hinter dem märchenhaften Aufstieg des chinesischen Vorzeigeunternehmens Alibaba? Ist es Jack Ma, sein schillernder Gründer, oder etwa ein besonderer Algorithmus? Ming Zeng verrät uns: Es ist die Strategie des Smart Business, das auf maschinellem Lernen, Algorithmen und künstlicher Intelligenz beruht. Ming Zeng legt dar, wie Alibaba neue Technologien dazu verwendet, das Entscheidungsverhalten zu verbessern und konkrete Handlungsschritte daraus abzuleiten.

What's wrong with preferring domestic assistants with feminine personalities? We like our assistants to conform to gender stereotypes - so what? For one thing, Strengers and Kennedy remind us, the design of gendered devices reinscribes outdated and unfounded stereotypes. Strengers and Kennedy offer a Smart Wife "manifesta", proposing a rebooted Smart Wife that would promote a revaluing of femininity in society in all her glorious diversity.

Genius inventor Skunky has just designed a brand-new creation ... a robot called Metal Eve! She needs to learn everything there is to know about life, so it's probably not the best idea that she's surrounded by Bunny, Monkey, Weenie, Pig and the gang. The only thing she's going to learn from them is that life in the Woods is very, very silly indeed!