検索キーワード： 機械理論・人工知能

Artificial Intelligence (AI) is causing massive changes in our lives, both at the individual and societal level, with the global AI market expected to reach around 126 billion US dollars by 2025. As more and more decision-making moves to AI systems, unique risks are being introduced. However, this topic can be quite challenging for newcomers who want to understand the governance and cyber-security risks that AI introduces. This book assumes zero prior knowledge of AI or machine learning and explains in an easy-to-understand way how to govern and secure AI.

Are you interested in machine learning? Do you want to know how it all works and what it involves? Then you've chosen the right guide. Machine learning is a subset of computer science and artificial intelligence. There's no getting away from the fact that it is here to stay, and it is already changing how many businesses work and target their customers. It's a complex subject, but this guide will give you a concise overview of the steps required in every machine learning project.

Artificial intelligence is forecasted to have trillions of dollars of impact on businesses and the economy, yet many marketers struggle to understand what it is and how to apply it in their marketing efforts. The truth is, AI possesses the power to change everything. Marketing Artificial Intelligence draws on years of research and dozens of interviews with AI marketers, executives, engineers, and entrepreneurs. Roetzer and Kaput present the current potential of AI, as well as a glimpse into the near future.

Technology is our new life partner. No longer confined to the sidelines, new interactive technologies like AI therapists, avatar friends, and robot assistants are ready to transform technology's role from basic tools of convenience to intimate elements of our social and emotional lives.

In Trustworthy AI, award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by understanding the qualities of trustworthy AI and the essential considerations for its ethical use within the organization and in the marketplace. The author draws from her extensive experience across different industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and concerns business leaders have about the ethics of AI.

Algorithmen, die unser Leben beeinflussen, sind längst keine Zukunftsmusik mehr, sondern stecken überall tief in unserem Alltag. Sie unterstützen Ärztinnen und Ärzte bei der Diagnose, lassen die Vergangenheit bunt werden und Personen in Kinofilmen auftauchen, die gar nicht am Dreh waren. Im Hochleistungssport verraten sie, ob und warum sich Athleten und Athletinnen verletzen könnten und leiten uns mehr oder weniger offen durch digitale Welten - was entsprechende Sorgen vor unbewusster Manipulation weckt. Ein Spektrum Kompakt rund um programmierte Helfer im Hintergrund.

The ability to hack AI and the technology industry's lack of effort to secure it is thought by experts to be the biggest unaddressed technology issue of our time. Hacking Artificial Intelligence sheds light on these hacking risks, explaining them to those who can make a difference. This book is the first-ever layman's guide to the new world of hacking AI and introduces the field to thousands of people who should be aware of these risks. From a security perspective, AI is today where the internet was thirty years ago. It is wide open and can be exploited.

It seems that just about every new technology that we bring to bear on improving our lives brings with it some downside, side effect, or unintended consequence. These issues can pose very real and growing ethical problems for all of us. For example, automated facial recognition can make life easier and safer for us—but it also poses huge issues with regard to privacy, ownership of data, and even identity theft. Technology Is Not Neutral addresses one of today’s most pressing problems: How to create and use tools and technologies to maximize benefits and minimize harms.

AI and people do not compete on a level playing field. Self-driving vehicles may be safer than human drivers, but laws often penalize such technology. People may provide superior customer service, but businesses are automating to reduce their taxes. AI may innovate more effectively, but an antiquated legal framework constrains inventive AI. In The Reasonable Robot, Ryan Abbott argues that the law should not discriminate between AI and human behavior and proposes a new legal principle that will ultimately improve human well-being.

Today, you can do things that most people never dreamed were possible. Artificial Intelligence (AI) is now part of everyday reality. Leaping into the future is real with AI. Living Smart will help you learn about practical applications and benefits. To begin with, you will find out what AI can do for you. Opportunity to improve the way you live and work is possible when you know what to do. There are endless applications. Living Smart will provide you with unique insight, tools, and logic to help guide you into the future.

Discover best practices, reproducible architectures, and design patterns to help guide deep learning models from the lab into production. In Deep Learning Patterns and Practices you will learn: Internal functioning of modern convolutional neural networks, procedural reuse design pattern for CNN architectures, models for mobile and IoT devices, assembling large-scale model deployments, optimizing hyperparameter tuning, and migrating a model to a production environment.

Artificial intelligence is revolutionizing the modern world. It is ubiquitous-in our homes and offices, in the present and most certainly in the future. Today, we encounter AI as our distant ancestors once encountered fire. If we manage AI well, it will become a force for good, lighting the way to many transformative inventions. If we deploy it thoughtlessly, it will advance beyond our control. As AI policy experts Ben Buchanan and Andrew Imbrie show in The New Fire, few choices are more urgent—or more fascinating—than how we harness this technology and for what purpose.

Whether we realize it or not, we think of our brains as computers. In neuroscience, the metaphor of the brain as a computer has defined the field for much of the modern era. But as neuroscientists increasingly reevaluate their assumptions about how brains work, we need a new metaphor to help us ask better questions. The computational neuroscientist Daniel Graham offers an innovative paradigm for understanding the brain. He argues that the brain is not like a single computer—it is a communication system, like the internet.

Computer technology has improved exponentially over the last 50 years. But the headroom for bigger and better electronic solutions is running out. Our best hope is to engage the power of quantum physics. Brian Clegg explains algorithms and their quantum counterparts, explores the physical building blocks and quantum weirdness necessary to make a quantum computer and uncovers the capabilities of the current generation of machines.

You are probably not aware, because of their hidden nature, but artificial intelligence systems are all around you affecting some of the biggest areas of your life - jobs, loans, kids, mental health, relationships, freedoms, and even healthcare decisions that can determine if you live or die.

What can a quantum computer do? If we have a sequence of 30 zeroes and ones, it has about one billion of possible values. However, a classical computer can only be in one of these one billion states at the same time. A quantum computer can be in a quantum combination of all of those states, called superposition.

Artificial intelligence has long been a mainstay of science fiction, and increasingly it feels as if AI is entering our everyday lives, with technology like Apple’s Siri now prominent and self-driving cars almost upon us. But what do we actually mean when we talk about ‘AI’? What has it done for us so far? And what technologies could it yield in the future? AI expert Yorick Wilks takes a journey through the history of artificial intelligence up to the present day, examining its origins, controversies and achievements, as well as looking into just how it works.

In their groundbreaking book Human + Machine, Accenture technology leaders Paul Daugherty and H. James Wilson showed how leading organizations use the power of human-machine collaboration to transform their businesses and their bottom lines. Now those companies and other pioneers across industries are reshaping the very nature of innovation. In Radically Human, Daugherty and Wilson show this profound shift - how artificial intelligence is becoming less artificial and more intelligent.

Harry Parker's life changed overnight when he lost his legs to an IED in Afghanistan. That took him into an often surprising landscape of a very human kind of hacking, and he wondered, are all humans hybrids? Whether it's putting on contact lenses every day or DIY biohackers tinkering in garages, Parker introduces us to the exhilarating breadth of human invention - and intervention. Grappling with his own new identity and disability, he discovers the latest robotics, tech and implants that might lead us to powerful, liberating possibilities for what a body can be.

Eine Chinesin, die es wagt, ihren brasilianischen Freund nicht mehr länger nur in einer virussicheren, virtuellen Realität zu treffen. Ein junger Mann in Sri Lanka, der mittels autonomer Fahrzeuge Leben rettet. Ein Münchner Quantencomputerprofi, der die Welt mit KI-gesteuerten Waffen ins Chaos stürzen will... In KI 2041 haben sich der international bekannteste KI-Experte und ein führender Science-Fiction-Autor zusammengetan, um eine zwingende Frage zu beantworten: Wie wird künstliche Intelligenz unser Leben in zwanzig Jahren verändert haben?