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.

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.

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.

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?

Artificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predicting outcomes and even use sensors to see around physical and virtual corners. So why does Intelligence frequently get it so wrong? The answer is us. Humans design the algorithms that define the way that AI works and the processed information reflects an imperfect world.

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.

Written by bestselling author Tom Davenport and Deloitte's Nitin Mittal, All-In on AI looks at artificial intelligence at its cutting edge from the viewpoint of established companies like Anthem, Ping An, Airbus, and Capital One. Filled with insights, strategies, and best practices, All-In on AI also provides leaders and their teams with the information they need to help their own companies take AI to the next level.

Drawing on decades of research into decision-making under uncertainty, Gerd Gigerenzer makes a compelling case for the enduring importance of human discernment in an automated world that we are told can - and will - replace our efforts. Filled with practical examples and cutting-edge research, How to Stay Smart in a Smart World examines the growing role of AI at all levels of daily life with refreshing clarity. This book is a life raft in a sea of information and an urgent invitation to actively shape the digital world in which we want to live.

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.

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.

How smart machines are transforming us all - and what we should do about it. The smart machines revolution is reshaping our lives and our societies. Here, Nigel Shadbolt (one of Britain’s leading authorities on artificial intelligence) and Roger Hampson dispel terror, confusion and misconception. We are not about to be elbowed aside by a rebel army of superintelligent robots of our own creation. We were using tools before we became Homo sapiens and will continue to control them. How we exercise that control - in our private lives, in employment, in politics - and make the best of the wonderful opportunities will determine our collective future well-being.

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.

Dieses Fachbuch ist im wahrsten Sinne des Wortes "KIgantisch. Work smart(er) – Praktische Tipps und inspirierende Beispiele für den Einsatz von KI im Geschäftsleben" ist der unverzichtbare Ratgeber für alle, die KI verstehen und für ihr Unternehmen nutzen wollen. Von den KI-Basics bis zur praktischen Anwendung – alles, was du brauchst, um effizienter und kreativer zu arbeiten. Erhalte einen Überblick über die Vorteile und Grenzen von KI und lass dich von konkreten Beispielen aus verschiedenen Branchen inspirieren.

As we use the Web for social networking, shopping, and news, we leave a personal trail. These days, linger over a Web page selling lamps, and they will turn up at the advertising margins as you move around the Internet, reminding you, tempting you to make that purchase. Search engines such as Google can now look deep into the data on the Web to pull out instances of the words you are looking for. And there are pages that collect and assess information to give you a snapshot of changing political opinion.