検索キーワード： 制作 "--Tyson Hanks" 機械理論・人工知能

If you are a technical recruiter who wants to keep your skills up to date in the growing area of artificial intelligence (AI) and machine learning (ML), this is the essential resource for you. In this book, you will learn the fundamentals of AI/ML, from the basics to more advanced. You will also find simple screening questions and conversations that can be used for matching your candidate's resumes to AI/ML job descriptions.

Will machines someday replace attorneys, physicians, computer programmers, and world leaders? What about composers, painters, and novelists? Will tomorrow’s supercomputers duplicate and exceed humans? Are we just wetware, natural computers doomed to obsolescence by tomorrow’s ultra-powerful artificial intelligence? In Non-Computable You: What You Do That Artificial Intelligence Never Will, Robert J. Marks II answers these and other fascinating questions with his trademark blend of whimsy and expertise.

You've definitely heard of the metaverse by now, but I'll explain why everyone will soon log in and out of this new three-dimensional virtual reality as they do with Instagram, TikTok, and other social media platforms today. What will assure you and your family a wealthy future is understanding how the metaverse will work and what the technologies are at its core. What actually is it? How did it come to be? What technologies are at work? Why do we need cryptocurrency for it? All of these questions are answered using real-life examples and comparisons. Plus a lot more!

Access Granted: Tomorrow's Business Ethics is science fiction in its literal sense. The book analyzes actual and future technological developments to discuss how these will affect tomorrow's business reality and its impact on the human. It is clear that robotization and the implementation of artificial intelligence will change companies and societies. This does not mean automatically a shift for the better or worse, but life will be different, and it is in our hands to use technology for the better.

On the eve of the Sino-American great power competition General Mattis challenged America to move forward at the speed of relevance. To compete effectively America needed to excel in its AI capacity. The call fell on deaf ears—and years later the nation found itself sliding towards a state of irrelevance on the global stage. A series of blunders contributed to what President Biden calls American AI's "failing and falling behind." This is the story of American AI's fall from grace.

The singularity is the emergence of artificial general intelligence (AGI), and the associated transformation of the human condition. Spoiler alert: That transformation will be profound. Despite the importance of the concept of the singularity, the subject receives nothing like the attention it deserves. This book seeks to dispel the confusion, to untangle the distortions, to highlight practical steps forward, and to attract much more serious attention to the singularity. The future of humanity is at stake.

While warnings of a robot world-takeover could seem dramatic, the truth is more mundane―robots have come to take our jobs. Winning in the Robotic Workplace: How to Prosper in the Automation Age will teach you the skills needed to reprogram the way you work in anticipation of this technological shift. Author John F. Wasik believes learning to thrive in the automation age can in fact humanize the workplace once again. You will learn to emphasize the conceptualization and pursuit of creative ideas, a practice that most robots are unequipped to perform in a meaningful way.

Machine learning is fast becoming an important technique used by multiple industries, and in applications and research. But you don’t have to be part of a massive organization with an endless pot of money to get involved. Even beginners using the Python programming language can be a part of machine learning, and that is what this book is for. Today, the only limit to machine learning is your imagination. In this book, I provide you with an overview of machine learning and some practical work to get your hands dirty.

Sensational media reports speculate about the "rise of the machines" but fail to see that there's no real intelligence in AI. It is not an all-seeing master, but rather a functional tool that must combine with the intelligence we possess to be effective. With The AI Republic, Terence Tse, Mark Esposito, and Danny Goh have not written a book for coders, but for everyone curious about a future shaped by AI. They demystify this life-changing technology and explain how we can build a shared space where humans and intelligent automation work together.

There have been secret codes since before the Old Testament, and there were secret codes in the Old Testament too. Almost as soon as writing was invented, so too were the devious means to hide messages and keep them under the wraps of secrecy. In 50 Codes That Changed the World, Sinclair McKay explores these uncrackable codes, secret cyphers and hidden messages from across time to tell a new history of a secret world.

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.

Much has been written about the challenges tech presents to equality and democracy. But we can either criticize big data and automation or steer it to do better. Lobel makes a compelling argument that while we cannot stop technological development, we can direct its course according to our most fundamental values. With provocative insights in every chapter, Lobel masterfully shows that digital technology frequently has a comparative advantage over humans.

The boundary that once protected our intimate lives from outside interests is an artefact of the 20th century. In the 21st, we have embraced a vast array of technology that enables constant access and surveillance of the most private aspects of our lives. From non-consensual pornography, to online extortion, to the sale of our data for profit, we are vulnerable to abuse. As Citron reveals, wherever we live, laws have failed miserably to keep up with corporate or individual violators, letting our privacy wash out with the technological tide.

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.