Zeigt Titel in Informatik

Medicine has become inhuman, to disastrous effect. The doctor-patient relationship - the heart of medicine - is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality.

An exposé of the unprecedented form of power called “surveillance capitalism,” and the quest by powerful corporations to predict and control our behavior “Groundbreaking, magisterial, alarming.” – Financial Times The heady optimism of the Internet’s early days has turned dark...

Schulleiterin und Digitalexpertin Silke Müller warnt davor, Kinder mit künstlichen Intelligenzen allein zu lassen. In ihrem aufrüttelnden Buch analysiert sie, was die KI-Revolution für Bildung und Erziehung bedeutet und gibt praktischen Rat, wie Eltern ihre Kinder schützen und kompetent begleiten.

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.

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 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.

New York Times Best Seller How will Artificial Intelligence affect crime, war, justice, jobs, society and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology—and there’s nobody better qualified or situated to explore that...

The difference between growing your business and going out of business is your ability to think strategically. The problem is, most leaders are stuck in the operational weeds, struggling to find the time to make better strategic decisions. This challenge is only heightened by the rise of AI. While you know AI is the future, current demands leave you with no time to explore its benefits. Meanwhile, your competition is gaining an edge by integrating AI. The time to act is now.

This audiobook is masterfully read by the author, Mo Gawdat. One of The Sunday Times' Business Books of the Year Technology is putting our humanity at risk to an unprecedented degree. This book is not for engineers who write the code or the policy makers who claim they can regulate it. This is a...

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.

"The most important book on AI this year." --The Guardian "Mr. Russell's exciting book goes deep, while sparkling with dry witticisms." --The Wall Street Journal "The most important book I have read in quite some time" (Daniel Kahneman); "A must-read" (Max Tegmark); "The book we've all been...

Künstliche Intelligenz ist "the next big thing" - und alle halten gebannt und ängstlich die Luft an. Leider verharren viele Unternehmen jedoch in dieser Schockstarre. Sie drohen, den Wandel zu verpassen und gehen die notwendigen Anpassungen ihres Geschäftsmodells zu spät und zu wenig konsequent an. Und verpassen die Chancen, die sich durch den verstärkten Einsatz von Kollege KI wie Machine Learning oder Deep Learning eröffnen.

A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence Machine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumour is cancerous, or deciding whether...

Foreword by Steven Pinker Blending the informed analysis of The Signal and the Noise with the instructive iconoclasm of Think Like a Freak, a fascinating, illuminating, and witty look at what the vast amounts of information now instantly available to us reveals about ourselves and our...

Read by the author. Will technology change what it means to be human? You don't have to be a computer scientist to have discerning conversations about artificial intelligence and technology. We all wonder where we're headed. Even now, technological innovations and machine learning have a daily...

Die Schriftstellerbranche bietet unzählige Möglichkeiten, die sich frühere Generationen nicht hätten vorstellen können. Dennoch fällt es den meisten Autoren schwer, ein nachhaltiges Einkommen zu erzielen, da sie sich ausschließlich auf ihr Handwerk konzentrieren und die geschäftlichen Aspekte außer Acht lassen, die erfolgreiche Profis von denen unterscheiden, die ständig finanzielle Schwierigkeiten haben.

NEW YORK TIMES BESTSELLER An urgent warning of the unprecedented risks that AI and other fast-developing technologies pose to global order, and how we might contain them while we have the chance—from a co-founder of the pioneering artificial intelligence company DeepMind and current CEO...

Einleitung: Keine Angst vor KI – Du hast mehr Kontrolle, als Du denkst. Stell dir vor, jemand hätte dir vor 30 Jahren gesagt, dass du bald kleine Supercomputer in deiner Hosentasche trägst, mit denen du weltweit in Echtzeit kommunizieren, Bilder bearbeiten, Musik komponieren oder sogar einkaufen und Bankgeschäfte erledigen kannst – alles mit einem Fingertipp. Damals hätte das fast wie Magie geklungen. Heute ist es Alltag. Genauso fühlt sich für viele das Thema Künstliche Intelligenz an: spannend, faszinierend – aber auch irgendwie unheimlich, überwältigend oder schwer greifbar.

Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice.

Ein Blick durch das Schlüsselloch der Forschungslabore und Hightech-Firmen: Woran sie arbeiten, was sie planen, was jetzt schon möglich ist. Spitzenforscher sind sich einig: Auch mit Mitte 90 noch fit zu sein, kann Standard werden. Und 120 Jahre Leben wird für viele Menschen erreichbar – schon für die jetzt geborenen Generationen. Doch was müssen wir tun, um nicht nur länger zu leben, sondern auch länger gesund zu bleiben? Thomas Schulz, langjähriger SPIEGEL-Korrespondent im Silicon Valley, hat mit Konzernchefs und Spitzenforscherinnen, AI-Koryphäen und Medizinerinnen gesprochen.