Showing results by publisher "Audible Studios" in Machine Theory & Artificial Intelligence

Superintelligence asks the questions: What happens when machines surpass humans in general intelligence? Will artificial agents save or destroy us? Nick Bostrom lays the foundation for understanding the future of humanity and intelligent life. The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. If machine brains surpassed human brains in general intelligence, then this new superintelligence could become extremely powerful - possibly beyond our control.

Artificial Intelligence helps choose what books you buy, what movies you see, and even who you date. It puts the "smart" in your smartphone and soon it will drive your car. It makes most of the trades on Wall Street, and controls vital energy, water, and transportation infrastructure. But Artificial Intelligence can also threaten our existence. In as little as a decade, AI could match and then surpass human intelligence. Corporations and government agencies are pouring billions into achieving AI’s Holy Grail - human-level intelligence.

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now - in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on?

What is economic growth? And why, historically, has it occurred in only a few places? Previous efforts to answer these questions have focused on institutions, geography, finances, and psychology. But according to MIT's anti-disciplinarian César Hidalgo, understanding the nature of economic growth demands transcending the social sciences and including the natural sciences of information, networks, and complexity. To understand the growth of economies, Hidalgo argues, we first need to understand the growth of order.

The confluence of four technologies - elastic cloud computing, big data, artificial intelligence, and the internet of things - writes Siebel, is fundamentally changing how business and government will operate in the 21st century. Siebel masterfully guides listeners through a fascinating discussion of the game-changing technologies driving digital transformation and provides a roadmap to seize them as a strategic opportunity.

Could history repeat itself, with one giant entity taking control of American information? Most consider the Internet Age to be a moment of unprecedented freedom in communications and culture. But as Tim Wu shows, each major new medium, from telephone to cable, arrived on a similar wave of idealistic optimism only to become, eventually, the object of industrial consolidation profoundly affecting how Americans communicate.

Artificial intelligence is amplifying human ingenuity and disrupting the foundations of health care, military, entertainment, education, marketing and manufacturing. Artificial Intelligence and the Future of Power argues that this AI-driven revolution will have an unequal impact on different segments of humanity. There will be new winners and losers, new haves and have-nots, resulting in an unprecedented concentration of wealth and power.

What to Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on artificial intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans, it raises profound questions on the future of work and how companies compete.

Robots may one day rule the world, but what is a robot-ruled Earth like? Many think the first truly smart robots will be brain emulations, or ems. Scan a human brain, then run a model with the same connections on a fast computer, and you have a robot brain, but recognizably human. Train an em to do some job and copy it a million times; an army of workers is at your disposal. When they can be made cheaply, within perhaps a century, ems will displace humans in most jobs.

The Age of Prediction is about two powerful, and symbiotic, trends: the rapid development and use of artificial intelligence and big data to enhance prediction, as well as the often paradoxical effects of these better predictions on our understanding of risk and the ways we live. Beginning with dramatic advances in quantitative investing and precision medicine, this book explores how predictive technology is quietly reshaping our world in fundamental ways, from crime fighting and warfare to monitoring individual health and elections.

È l’anno 2045, sei in un centro per la programmazione della mente e stai decidendo quale potenziamento vuoi inserire nel tuo cervello per ampliare la tua memoria, accrescere le tue capacità musicali o quelle matematiche. Magari stai già pensando di riversare la tua mente su un supporto del tutto artificiale. Uno scenario come questo non è fantascienza, ma una possibilità che diventa ogni giorno più concreta: siamo già circondati da intelligenze artificiali, dagli algoritmi che si attivano quando facciamo una ricerca sul web fino agli assistenti virtuali che gestiscono i nostri dispositivi e le nostre case.

A new approach to the challenges surrounding artificial intelligence that argues for assessing AI actions as if they came from a human being.

★あらゆる産業でゲームチェンジが起きる! ChatGPTを制するものが、ビジネスを制する!★

Vom Sortieren der Post über den OP-Saal bis zu Siri und Alexa, von selbstfahrenden Autos über Smartphone-Gesichtserkennung bis hin zur Corona-App: Künstliche Intelligenz bestimmt unseren Alltag schon heute. Aber was steckt eigentlich hinter diesen ganzen Techniken? Anschaulich und voller Enthusiasmus gibt der promovierte KI-Spezialist und Wissenschaftsjournalist Philip Häusser eine Einführung in die faszinierende Welt der künstlichen Intelligenz. Sein Buch ist eine facettenreiche Entdeckungsreise in die unbekannte Welt der Algorithmen und neuronalen Netze.

Von vielen noch unbemerkt ist die KI-Entwicklung ins Stocken geraten. Es gibt bis heute keine vollautonom fahrenden Serienautos, keine vollautonomen Kraftwerke und keine KI-Fabriken. Auch würde niemand sein Leben einem Roboterchirurgen anvertrauen. Woran liegt das? "Wir stehen an der Schwelle zu einer neuen KI", sagt Professor Ralf Otte. Unser Dilemma: Das Überschreiten dieser Schwelle hat gravierende Konsequenzen. Überschreiten wir diese Grenze aber nicht, werden wir als Industriegesellschaft keine Rolle mehr spielen.

Vous voulez comprendre l'impact de l'intelligence artificielle (IA) sur vos compétences, votre métier, votre management ? Le livre audio "Ce sera l'IA ou/et moi" de Cécile Dejoux est votre meilleur allié ! Vous êtes salarié, free-lance, entrepreneur, manager, etc., vous pensez que vous pouvez être acteur des changements liés à l'intelligence artificielle, vous ne voulez plus les subir, vous pensez que même les choses compliquées peuvent s'expliquer simplement, ce livre audio est fait pour vous !

Como líderes, seremos recordados por nuestra capacidad de gestionarnos a nosotros mismos y a los demás en momentos de dificultad. Crisis anteriores nos aportan valiosas lecciones sobre el liderazgo efectivo en tiempos convulsos y nos ayudan a encarar el futuro.

Le document rare et l'incroyable parcours d'un inventeur français, qui à l'âge de neuf ans avait déjà construit un robot pour faire son lit et a ensuite été l'un des deux créateurs de Siri. Son objectif ici : tordre le cou aux idées reçues et aux fantasmes qui entourent l'IA aujourd'hui. Vous ne comprenez rien à l'intelligence artificielle (IA) ?

■因果を求めない人工知能の世界 先日、人工知能に関する事業をしている人と合う機会がありました。 僕の会社が展開している採用系のサービスでも、人工知能などを用いることで、 マッチング部分でもっと手間を省いた方が絶対にいいと思っている。会社側がどういった人を求めているのか、応募者がどういった会社を望んでいるのかっていうことは、履歴書にたくさん文章を書けば伝わる問題でもないから。 もちろん最後は人間が面談することが必要なんだけど、その手前で機械ができる ことの精度を高められれば、可能性が広がるんじゃないかな。 例えばビッグデータやディープラーニング。これらは、今のトレンドといっちゃ あトレンドです。大量のデータを処理することで、あらゆることの確率が表で表 せるようになる。」(本文より) 家入一真　「家入学級」はこちらから→ http://yakan-hiko.com/ieiri.html