Titres dans Histoire et culture

Block by Block offers an original perspective on thermodynamic science and history based on the three approaches of a practicing engineer, academician, and historian. The book synthesizes and gathers into one accessible volume a strategic range of foundational topics involving the atomic theory, energy, entropy, and the laws of thermodynamics.

The greatest tool is the hardest to use. Machine learning is the world's most important general-purpose technology—but it's notoriously difficult to launch. Outside Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What's missing? A specialized business practice suitable for wide adoption. In The AI Playbook, bestselling author Eric Siegel presents the gold-standard, six-step practice for ushering machine learning initiatives, aka predictive AI projects, from conception to deployment.

Philosophe passionné par les grandes questions de notre temps, Luc Ferry décrypte les nouveaux enjeux de l’intelligence artificielle en convoquant les plus grands esprits, de Spinoza à Hegel en passant par Kant et Heidegger. Une révolution est en marche, et peu de gens s’en aperçoivent : l’IA est en train de profondément changer le monde. Avec clarté et profondeur, Luc Ferry explore les promesses et les limites de cette technologie fascinante, qui imite la pensée à la perfection.

In 1714, England's Parliament offered a huge reward to anyone whose method of measuring longitude could be proven successful. The scientific establishment--from Galileo to Sir Isaac Newton--had mapped the heavens in its certainty of a celestial answer. In stark contrast, one man, John Harrison, dared to imagine a mechanical solution--a clock that would keep precise time at sea, something no clock had been able to do on land. And the race was on....

In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.

From trendy restaurants to city grids, to TikTok and Netflix feeds the world round, algorithmic recommendations dictate our experiences and choices. The algorithm is present in the familiar neon signs and exposed brick of Internet cafes, be it in Nairobi or Portland, and the skeletal, modern furniture of Airbnbs in cities big and small. Over the last decade, this network of mathematically determined decisions has taken over, almost unnoticed—informing the songs we listen to, the friends with whom we stay in touch—as we’ve grown increasingly accustomed to our insipid new normal.

From the Sunday Times top ten best-selling author of The Psychopath Test, a captivating and brilliant exploration of one of our world's most underappreciated forces: shame. "It's about the terror, isn't it?" "The terror of what?" I said. "The terror of being found out." For the past three years, Jon Ronson has travelled the world, meeting recipients of high-profile public shamings. The shamed are people like us - people who, say, made jokes on social media that came out badly or made mistakes at work.

Amazon, Apple, Facebook, and Google are the four most influential companies on the planet. Just about everyone thinks they know how they got there. Just about everyone is wrong. For all that's been written about the Four over the last two decades, no one has captured their power and staggering success as insightfully as Scott Galloway. Instead of buying the myths these companies broadcast, Galloway asks fundamental questions.

Before John Glenn orbited the Earth or Neil Armstrong walked on the moon, a group of dedicated female mathematicians known as "human computers" used pencils, slide rules, and adding machines to calculate the numbers that would launch rockets and astronauts into space. Among these problem solvers were a group of exceptionally talented African American women, some of the brightest minds of their generation.

As it absorbs data, gains agency, and intermediates between humans and reality, AI will help us to address enormous crises, from climate change to geopolitical conflicts to income inequality. It might well solve some of the greatest mysteries of our universe, revolutionize fields as diverse as medicine and architecture, and elevate the human spirit to unimaginable heights. But it will also pose challenges on a scale and of an intensity that we have never seen.

Computers have changed since 1981, when Tracy Kidder memorably recorded the drama, comedy, and excitement of one company's efforts to bring a new microcomputer to market. What has not changed is the feverish pace of the high-tech industry, the go-for-broke approach to business that has caused so many computer companies to win big (or go belly up), and the cult of pursuing mind-bending technological innovations.

In this volume, Steven Johnson explores the history of innovation over centuries, tracing facets of modern life (refrigeration, clocks, and eyeglass lenses, to name a few) from their creation by hobbyists, amateurs, and entrepreneurs to their unintended historical consequences. Filled with surprising stories of accidental genius and brilliant mistakes - from the French publisher who invented the phonograph before Edison but forgot to include playback, to the Hollywood movie star who helped invent the technology behind Wi-Fi and Bluetooth.

Welcome to the age of behavioral addiction - an age in which half of the American population is addicted to at least one behavior. We obsess over our emails, Instagram likes, and Facebook feeds; we binge on TV episodes and YouTube videos; we work longer hours each year; and we spend an average of three hours each day using our smartphones. Half of us would rather suffer a broken bone than a broken phone, and Millennial kids spend so much time in front of screens that they struggle to interact with real, live humans.

La inteligencia sintética enfatiza que la inteligencia de los sistemas hechos por el hombre puede ser una forma de inteligencia "real", tangible e incluso superior, distinta de la inteligencia abstracta "artificial" que a menudo implica una mera imitación o una imitación menor. Se centra en la creación de sistemas inteligentes, a menudo a través de estructuras físicas similares al cerebro o principios cognitivos únicos, no humanos, con el objetivo de una autonomía y adaptación genuinas en lugar de solo procesos algorítmicos.

Da lösen sich die Daten in der Cloud einfach in Luft auf, Influencer geben im Netz fatale Techniktipps und verrückt spielende Smart Homes nehmen ihre Bewohner als Geiseln. Derweil werden die Kunden immer frecher, die KI immer schlauer und die Zeiten immer verrückter.

Wege aus dem Zeitalter der Lüge. Wem oder was können wir noch glauben? Digitale Neuheiten wie Social Bots oder Deepfakes, aber auch Täuschungen durch Medien und Politik erschüttern zunehmend unser Vertrauen in die demokratischen Institutionen. Die Verfassungsrichterin Elisa Hoven zeigt, worin die größten Gefahren dieser Entwicklung liegen und was wir tun müssen, um den gesellschaftlichen Frieden zu retten.

No company embodied American ingenuity, innovation, and industrial power more spectacularly and more consistently than the General Electric Company. GE once developed and manufactured many of the inventions we take for granted today, nearly everything from the lightbulb to the jet engine. GE also built a cult of financial and leadership success envied across the globe and became the world’s most valuable and most admired company. But even at the height of its prestige and influence, cracks were forming in its formidable foundation.

If you read (or listen to) nothing else on artificial intelligence and machine learning, listen to these ten articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand the future direction of AI, bring your AI initiatives to scale, and use AI to transform your organization.

Nothing is harder to do these days than nothing. But in a world where our value is determined by our 24/7 data productivity...doing nothing may be our most important form of resistance. So argues artist and critic Jenny Odell in this field guide to doing nothing (at least as capitalism defines it). Our attention is the most precious - and overdrawn - resource we have. Once we can start paying a new kind of attention, we can undertake bolder forms of political action, reimagine humankind's role in the environment, and find more meaningful understandings of happiness and progress.

AI makes headlines, but many organizations face stalled projects, fragile infrastructure, and costly deployments. The AI Engineering Bible fills this gap. For engineers, leads, architects, and product owners, it offers a systematic approach to production-ready AI—grounded in best practices, scalable infrastructure, and real-world use. Covering the full AI lifecycle—from problem definition and data acquisition to deployment, optimization, and maintenance—it provides the depth needed to lead AI at scale.