Hier, la Silicon Valley était l'épicentre du progrès technologique.

Aujourd'hui, la Chine attire tous les regards.

Comment a-t-elle pu rattraper son retard en quelques décennies ?



Après avoir travaillé chez Apple, Microsoft et Google, Kai-Fu Lee est aujourd'hui l'un des investisseurs chinois N°1 en intelligence artificielle.

Dans cet ouvrage fascinant devenu un best-seller mondial, il raconte comment la Chine utilise " le pétrole du 21e siècle ", c'est-à-dire les données générées par ses centaines de millions d'utilisateurs.

Grâce à une nouvelle génération d'entrepreneurs et à une course à l'innovation encouragée par les pouvoirs publics, la Chine invente un monde où l'intelligence artificielle se déploie dans toute la société, les restaurants, les hôpitaux, les salles de classe ou les laboratoires.

Kai-Fu Lee démontre à quel point l'IA va changer nos modes de vie et transformer l'économie, en privilégiant les plus agiles et les plus créatifs. Il propose d'utiliser les ressources financières considérables qui seront dégagées afin de soutenir les métiers où l'humain est irremplaçable : l'éducation, l'artisanat, les services à la personne.



Un livre qui se lit d'une traite. Vous ne verrez plus jamais l'avenir comme avant.



Né à Taiwan, Kai-Fu Lee a démarré sa carrière de chercheur en informatique dans la Silicon Valley en travaillant chez SGI, Apple, et Microsoft. En 2005 il est nommé président de Google China avant de fonder en 2009 la société d'investissement en capital-risque Sinovation Ventures. Il est l'auteur de plusieurs best-sellers en Chine et l'un des experts mondiaux les plus reconnus en intelligence artificielle.

A WALL STREET JOURNAL, WASHINGTON POST, AND FINANCIAL TIMES BEST BOOK OF THE YEAR

In this ground-breaking blend of imaginative storytelling and scientific forecasting, a pioneering AI expert and a leading writer of speculative fiction join forces to answer an imperative question: How will artificial intelligence change our world within twenty years?

AI will be the defining development of the twenty-first century. Within two decades, aspects of daily human life will be unrecognizable. AI will generate unprecedented wealth, revolutionize medicine and education through human-machine symbiosis, and create brand new forms of communication and entertainment. In liberating us from routine work, however, AI will also challenge the organizing principles of our economic and social order. Meanwhile, AI will bring new risks in the form of autonomous weapons and smart technology that inherits human bias. AI is at a tipping point, and people need to wake up-both to AI's radiant pathways and its existential perils for life as we know it.

In this provocative, utterly original work of "scientific fiction," Kai-Fu Lee, the former president of Google China and bestselling author of AI Superpowers, joins forces with celebrated novelist Chen Qiufan to imagine our world in 2041 and how it will be shaped by AI. In ten gripping short stories, set twenty years in the future, they introduce readers to an array of eye-opening 2041 settings:

In San Francisco, a new industry, "job reallocation," arises to serve displaced workers
In Tokyo, a music fan is swept up in an immersive form of celebrity worship
In Mumbai, a teenage girl rebels when AI gets in the way of romance
In Seoul, virtual teachers offer orphaned twins new ways to learn and connect
In Munich, a rogue quantum computer scientist's revenge plot imperils the world

By gazing toward a not-so-distant horizon, AI 2041 offers urgent insights into our collective future-while reminding readers that, ultimately, humankind remains the author of its destiny.

After more than two decades of research activity, speech recognition has begun to live up to its promise as a practical technology and interest in the field is growing dramatically. Readings in Speech Recognition provides a collection of seminal papers that have influenced or redirected the field and that illustrate the central insights that have emerged over the years.

The editors provide an introduction to the field, its concerns and research problems. Subsequent chapters are devoted to the main schools of thought and design philosophies that have motivated different approaches to speech recognition system design. Each chapter includes an introduction to the papers that highlights the major insights or needs that have motivated an approach to a problem and describes the commonalities and differences of that approach to others in the book.