検索キーワード： 機械理論・人工知能

The Genius Makers tells the story of AI from pioneering days to current achievements to future potential. At the same time it takes the lid off what has effectively become an arms race between Google, Microsoft, Facebook and OpenAI, in which Google may be the clear frontrunner at present, but Facebook has shown itself to be both nimble and innovative, and OpenAI, the company recently founded by Elon Musk and Sam Altman, has made itself the confident upstart of the pack.

This book demonstrates how nonscientific ideas have been encoded deep into our technological infrastructure. Offering a rigorous, fresh perspective on how technology has brought us to this place, Rage Inside the Machine challenges the long-held assumption that technology is an apolitical and amoral force.

From the latest applications of AI to blockchain-enabled business models to 5G networks, the most important technological innovations of the past year are reshaping the present and future of business. What should you and your company be doing now to take advantage of the new opportunities they are creating? The Year in Tech, 2021 will help you understand today's most essential thinking on these topics, what the latest tech innovations mean for your organization, and how you can use them to compete and win in the new landscape of business.

Leaders already know that the classic approach to strategy - analyze, plan, execute - is losing relevance. But they don't yet know what replaces it. As everyone and everything becomes more interconnected and digitized, how do you operate, compete, and win? Ming Zeng, the former chief of staff and strategy adviser to Alibaba Group's founder, Jack Ma, explains how the latest technological developments, such as artificial intelligence, machine learning, the mobile internet, and cloud computing, are redefining how value is created.

As Vikram Mansharamani shows in this eye-opening book, our complex, data-flooded world has made us ever more reliant on experts, protocols, and technology. We've stopped thinking for ourselves. Of course, experts, protocols, and computer-based systems are essential to helping us make informed decisions. What we need is a new approach for integrating these information sources more effectively. The author provides principles and techniques for doing just that, empowering listeners with a more critical and nuanced approach to making decisions.

Author Rashed Haq is a subject matter expert on AI, having developed AI and data science strategies, platforms, and applications for Publicis Sapient's clients for more than 10 years. He shares that expertise in the new audiobook Enterprise Artificial Intelligence Transformation. The first of its kind, this audiobook grants technology leaders the insight to create and scale their AI capabilities and bring their companies into the new generation of technology.

This audiobook explains why AI is unique, what legal and ethical problems it could cause, and how we can address them. It argues that AI is unlike any other previous technology, owing to its ability to take decisions independently and unpredictably. This gives rise to three issues: responsibility - who is liable if AI causes harm; rights - the disputed moral and pragmatic grounds for granting AI legal personality; and the ethics surrounding the decision-making of AI.

Artificial intelligence is driving workforce disruption on a scale not seen since the Industrial Revolution. Automation was once associated with mass layoffs in heavy industry like auto and steel, but computers are getting smarter and are beginning to replace traditionally 'white collar' roles like law, consulting, banking and finance. Yet some curious findings are emerging from the world's leading research labs.

From Oxford's leading AI researcher comes a fun and accessible tour through the history and future of one of the most cutting edge and misunderstood field in science: artificial intelligence.

In this bold, optimistic book, the authors of the best-selling Big Data show how humans have a unique cognitive ability to frame - to create mental models that allow us to spot patterns, make predictions and grasp new situations. While computers may now excel at reasoning and judgement, framing is unique to humans. This book is the first guide to mastering an essential skill for the 21st century.

One of the most peculiar and possibly unique features of humans is the vast amount of information we carry outside our biological selves. But in our rush to build the infrastructure for the 20 quintillion bits we create every day, we’ve failed to ask exactly why we’re expending ever-increasing amounts of energy, resources, and human effort to maintain all this data. Drawing on deep ideas and frontier thinking in evolutionary biology, computer science, information theory, and astrobiology, Caleb Scharf argues that information is, in a very real sense, alive - an aggregate lifeform.

The robots are here. They make our cars; they deliver fast food; they mine the sea floor. And in the near-future, their presence will increasingly enter our homes and workplaces - making human-robot interaction a frequent everyday occurrence. What will this future look like? What will define the relationship between humans and robots? Here Kate Darling, a world-renowned expert in robot ethics, shows that in order to understand the new robot world, we must first move beyond the idea that this technology will be something like us.

Companies all over the world are being buffeted by new technologies, disruptive business models, and start-up innovation. Business leaders know that they need to adopt these new technologies like blockchain, artificial intelligence, and the internet of things, and transform their companies using them to keep pace with rapid customer and business environment changes. Therefore, there is an urgent need to understand the basic principles of digital transformation and the technology forces that enable this shift.

Today, 91 percent of Python programmers are not quite prepared. This is what the IT companies say, according to a recent survey. Do you know why? The reason is that they have no notions of artificial intelligence. So, future programmers will no longer find work without having knowledge of this particular field that is constantly evolving.

Python is a high-level scripting language. It is easy to learn and more robust than other languages because of its dynamic nature and simple syntax, which allows small lines of code. Indentation and object-oriented, functional programming make it simple. Such advantages of Python makes it different from another language, and that's why Python is preferred for development in companies mostly. In industries, machine learning using Python has become popular. This is because it has standard libraries that are used for scientific and numerical calculations.

Discover how to take advantage of the coming AI and neural networks revolution, set yourself up for success, and make your businesses future-proof with the definitive guide to artificial intelligence! In this guide, Melvin Doyle skips the fluff and gives a clear overview of the technology explained in plain, simple English. Your eyes will be opened to how AI is transforming the way business is done, as well as techniques and strategies to apply this cutting edge tech to your own businesses.

The term "omnichannel" may be a marketing buzzword, but it also refers to a significant shift. Marketers now need to provide a seamless experience, regardless of channel or device. Make It All About Me suggests how to work with omnichannel marketing and artificial intelligence without getting stuck in a certain channel or silo.

If you've been following the news, you probably know that artificial intelligence is taking over. Self-driving trucks, face recognition, machines, and automatic cashiers are becoming the replacement for regular human beings. If you want to learn more about artificial intelligence, where it comes from, how some of it works, and what the future might look like, this audiobook is for you.

Le document rare et l'incroyable parcours d'un inventeur français, qui à l'âge de neuf ans avait déjà construit un robot pour faire son lit et a ensuite été l'un des deux créateurs de Siri. Son objectif ici : tordre le cou aux idées reçues et aux fantasmes qui entourent l'IA aujourd'hui. Vous ne comprenez rien à l'intelligence artificielle (IA) ?

Do you want to apply machine learning in your business? Are you ready to develop a trading strategy for Stocks using Machine Learning? Do you want to know how machine learning can change your life? If you answered yes to all the questions, then this is the right audiobook for you. This audiobook will help you start in the world of machine learning for business. If you are engrossed in starting out with the concept for the first time, this manual will have all the techniques and strategies that you need to get started with machine learning for business.