Titres dans Ingénierie

La plupart des gens aiment les maths. L'ennui, c'est qu'ils ne le savent pas. Dans les temps préhistoriques, les maths sont nées pour être utiles. Les nombres servaient à compter les moutons d'un troupeau. La géométrie permettait de mesurer les champs et de tracer des routes. L'histoire aurait pu en rester là, mais au fil des siècles, les Homo sapiens furent bien étonnés de découvrir les chemins sinueux de cette science parfois abstraite.

Dans ses "Sept brèves leçons de physique", Carlo Rovelli confiait : qu'une question avait guidé sa vie de chercheur : la nature du temps. Se hissant sur les épaules d'Isaac Newton, d'Albert Einstein, de Stephen Hawking et de bien d'autres, il nous livre enfin ses découvertes dans ce livre majeur. Le temps est au cœur d'un étrange mystère. Tel un flocon de neige qui fond lorsqu'on s'en saisit, il s'est progressivement délité sous les assauts de la science : on sait dorénavant que le temps s'écoule plus lentement en plaine qu'en altitude.

Even the smartest among us can feel inept as we fail to figure out which light switch or oven burner to turn on, or whether to push, pull, or slide a door. The fault, argues this ingenious - even liberating - audiobook, lies not in ourselves, but in product design that ignores the needs of users and the principles of cognitive psychology. The Design of Everyday Things shows that good, usable design is possible. The rules are simple: make things visible, exploit natural relationships that couple function and control, and make intelligent use of constraints.

Savez-vous que le 34 avril est un jour très utile ? Que certains fleuves coulent de bas en haut ? Que la Lune tourne en ligne droite ? Que la couverture de ce livre est peut-être rouge ? Et que tout en lisant ces quelques lignes vous voyagez à la vitesse de 300 000 kilomètres par seconde ?

Découvrez la magie du monde réel ! De quoi les choses sont-elles faites ? Qui était le premier homme ? Pourquoi la vie existe-t-elle sur terre ? Les gens ont toujours inventé des mythes pour donner les réponses à ces questions. L'un des biologistes de l'évolution les plus influents des 50 dernières années, l'auteur du best-seller Pour en finir avec Dieu, Richard Dawkins, raconte ces mythes et révèle la vérité scientifique qui les sous-tend.

Shannon Vallor makes a wide-ranging, prophetic, and philosophical case for what AI could be: a way to reclaim our human potential for moral and intellectual growth, rather than lose ourselves in mirrors of the past. Rejecting prophecies of doom, she encourages us to pursue technology that helps us recover our sense of the possible, and with it the confidence and courage to repair a broken world. Vallor calls us to rethink what AI is and can be, and what we want to be with it.

For over three decades, Ray Kurzweil has been one of the most respected and provocative advocates of the role of technology in our future. In his classic The Age of Spiritual Machines, he argued that computers would soon rival the full range of human intelligence at its best. Now he examines the next step in this inexorable evolutionary process: The union of human and machine, in which the knowledge and skills embedded in our brains will be combined with the vastly greater capacity, speed, and knowledge-sharing ability of our creations.

Transformed: Moving to the Product Operating Model was written to bridge the gap between where most companies are right now and where they need to be. The leaders of these companies know they must transform to compete in an era of rapidly changing enabling technology, but most of them have never operated this way before.

What is it about the top tech product companies such as Amazon, Apple, Google, Netflix, and Tesla that enables their record of consistent innovation? Most people think it's because these companies are somehow able to find and attract a level of talent that makes this innovation possible. But the real advantage these companies have is not so much who they hire, but rather how they enable their people to work together to solve hard problems and create extraordinary products.

This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks.

Dans cet ouvrage de synthèse, fruit de toute une vie de recherche aux confins de la psychologie et de l'économie, le prix Nobel Daniel Kahneman nous emmène à la rencontre des deux "personnages" qui se partagent notre esprit, régissant notre façon de penser et de prendre des décisions.

Guenther Steiner is one of motor racing's biggest and most celebrated characters, known to millions for his show-stealing appearances on Netflix's hugely popular fly on the wall series, Drive to Survive. In Surviving to Drive, the Haas team principal takes readers inside his Formula 1 team for the entirety of the 2022 season, giving an unobstructed view of what really takes place behind the scenes. Through this unique lens, Guenther takes us on the thrilling rollercoaster of life at the heart of high stakes motor racing.

Clean Architecture is an essential book for every current or aspiring software architect, systems analyst, system designer, and software manager - and for every programmer who must execute someone else’s designs.

"On ne peut rien faire pour lutter contre le réchauffement climatique." "On vivra bientôt sur Mars !" "Nous n'utilisons que 10 % de notre cerveau." Les fake news ont la vie dure ! Au point qu'on peut toutes et tous se laisser piéger. Pour vous aider à y voir plus clair, le média "Curieux !" a passé au crible de la science 100 fake news sur des sujets aussi divers que l'alimentation, le cerveau, l'environnement ou la sexualité, dans un livre audio ludique et richement illustré.

Something new entered our world in November 2022—the first general purpose AI that could pass for a human and do the kinds of creative, innovative work that only humans could do previously. Wharton professor Ethan Mollick immediately understood what ChatGPT meant: after millions of years on our own, humans had developed a kind of co-intelligence that could augment, or even replace, human thinking. Through his writing, speaking, and teaching, Mollick has become one of the most prominent and provocative explainers of AI.

How do today's most successful tech companies - Amazon, Google, Facebook, Netflix, Tesla - design, develop, and deploy the products that have earned the love of literally billions of people around the world? Perhaps surprisingly, they do it very differently from the vast majority of tech companies. In Inspired, technology product management thought leader Marty Cagan provides listeners with a master class in how to structure and staff a vibrant and successful product organization and how to discover and deliver technology products that your customers will love.

How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization.

Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.

Du paléolithique à nos jours, Sapiens s'est trouvé confronté à des événements naturels souvent rapides, brutaux et de grande ampleur. Pour le pire et pour le meilleur. Car si notre espèce a failli en perdre la vie, si des civilisations se sont effondrées, si récemment encore se sont ensuivies famines, guerres et épidémies, nous avons fait preuve en ces occasions d'une belle faculté de résilience.

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.