Titoli in Scienze informatiche

In this absorbing and frequently contentious book, Roger Penrose puts forward his view that there are some facets of human thinking that can never be emulated by a machine. The book's central concern is what philosophers call the "mind-body problem". Penrose examines what physics and mathematics can tell us about how the mind works, what they can't, and what we need to know to understand the physical processes of consciousness.

From the Industrial Revolution to the age of artificial intelligence, The Technology Trap takes a sweeping look at the history of technological progress and how it has radically shifted the distribution of economic and political power among society’s members.

In the newly revised second edition of Rewired, five experienced McKinsey leaders deliver an essential and incisive update to their widely read guide to planning and implementing AI transformations. The book walks you through the AI transformation from start to finish. You'll learn how to create...

The history of computing could be told as the story of hardware and software or the story of the Internet or the story of "smart" handheld devices, with subplots involving IBM, Microsoft, Apple, Facebook, and Twitter. In this concise and accessible account of the invention and development of digital technology, computer historian Paul Ceruzzi offers a broader and more useful perspective. He identifies four major threads that run throughout all of computing's technological development.

In a world of polycrisis—where climate collapse, AI acceleration, societal fragmentation, and economic instability collide—business leaders can no longer maintain the status quo. From now until 2030, CEOs will be expected to lead the reinvention in this volatile new reality. Caroline Stokes, author of Elephants Before Unicorns and founder of Workplace EQ, delivers a bold new guide for CEOs, founders, and aspiring changemakers who refuse to wait for the future to overtake them.

We are living in the computer age, in a world increasingly designed and engineered by computer programmers and software designers, by people who call themselves hackers. Who are these people, what motivates them, and why should you care? Consider these facts: Everything around us is turning into computers. Your typewriter is gone, replaced by a computer. Your phone has turned into a computer. So has your camera. Soon your TV will. Your car was not only designed on computers, but has more processing power in it than a room-sized mainframe did in 1970. 

Nvidia is the darling of the age of artificial intelligence: the company’s chips are powering the generative-AI revolution, and demand is insatiable. For all the current interest and attention, however, Nvidia is not of our time. Founded more than three decades ago in a Denny’s in East San Jose, for years it was known primarily in the then-niche world of computer gaming. In fact, the company’s leather-jacketed leader, Jensen Huang, is the longest-serving CEO in an industry marked by near constant turmoil and failure.

In the 1940s, mathematicians set out to design computers that could act as ideal rational agents in the face of uncertainty. The Irrational Decision tells the story of how they settled on a peculiar mathematical definition of rationality in which every decision is a statistical question of risk. Benjamin Recht traces how this quantitative standard came to define our understanding of rationality, looking at the history of optimization, game theory, statistical testing, and machine learning.

Künstliche Intelligenz und Algorithmen erleichtern in Form von Navis, Rechtschreibprogrammen, Suchergänzungen oder Kaufempfehlungen schon lange unseren Alltag. Aber sie hinterlassen oft auch ein mulmiges Gefühl, weil wir nicht so recht verstehen, was da passiert. Katharina Zweig, IT-Expertin für Sozioinformatik und vielfach ausgezeichnete Informatikprofessorin, erklärt mit Witz und anhand einfacher Beispiele und Illustrationen, was Algorithmen eigentlich genau sind, wie sie funktionieren, welche völlig harmlos sind und welche uns tatsächlich Sorgen bereiten sollten.

Artificial intelligence powers Google's search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues.

Friends. Lovers. Therapists. 'Deathbots'. Artificial intelligence is now fulfilling new roles for millions of us every single day. How are these new 'relationships' changing how we view technology - and each other? Beyond those who are using AI chatbots for administrative tasks, some people are now preparing to adopt children with their AI partners; others are reaching out to companies offering services to 'resurrect' deceased loved ones; others still look to bots to find treatment for their mental health issues.

In How To Think About AI, Richard Susskind draws on his experience of working on AI since the early 1980s. For Susskind, balancing the benefits and threats of artificial intelligence is the defining challenge of our age. He explores the history of AI and possible scenarios for its future. His views on AI are not always conventional. He positions ChatGPT and generative AI as no more than the latest chapter in the ongoing story of AI and claims we are still at the foothills of developments.

Los grandes avances teóricos en inteligencia artificial han producido prácticas aplicaciones que están a punto de cambiar nuestra vida. Ya impulsa muchos de nuestros sitios web favoritos pero en los próximos años también conducirá nuestros coches, gestionará nuestras carteras, fabricará...

As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way.

What happens when intelligent machines aren’t just in our pockets but are also driving our cars, making our decisions, folding our laundry, and educating our kids? You’ve heard the hype: AI will make us healthier, give every child a personalized tutor, run our businesses more efficiently...

Confused about AI and worried about what it means for your future and the future of the world? You're not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works, why it often doesn't, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don't work, and probably never will.

A social history of AI that finally reveals its roots in the spatial computation of industrial factories and the surveillance of collective behaviour. What is AI? A dominant view describes it as the quest "to solve intelligence," a solution supposedly to be found in the secret logic of the mind...

Algo novo entrou em nosso mundo de novembro de 2022 - a primeira IA de uso geral que poderia se passar por um ser humano e realizar o tipo de trabalho criativo e inovador que somente os humanos poderiam fazer anteriormente. O professor de Wharton, Ethan Mollick, entendeu imediatamente o que o ChatGPT fez: depois de milhões de anos sozinhos, os humanos desenvolveram um tipo de cointeligência que poderia aumentar, ou mesmo substituir, o pensamento humano.

“This gonzo-journalistic exploration of the Silicon Valley techno-utopians’ pursuit of escaping mortality is a breezy romp full of colorful characters.” —New York Times Book Review (Editor's Choice) Transhumanism is a movement pushing the limits of our bodies—our capabilities...

This program includes an introduction read by the author. No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now...