検索キーワード： 機械理論・人工知能

A forward-thinking manifesto from three Stanford professors, which reveals how big tech's obsession with optimisation and efficiency has sacrificed fundamental human values and outlines steps we can take to change course, renew our democracy and save ourselves. As the dominance of big tech becomes an explosive societal conundrum, they share their provocative insights and concrete solutions to help everyone understand what is happening, what is at stake and what we can do to control technology instead of letting it control us.

Twelve bytes. Twelve eye-opening, mind-expanding, funny and provocative essays on the implications of artificial intelligence for the way we live and the way we love - from Sunday Times best-selling author Jeanette Winterson. In this original, deeply researched and lively new book, Jeanette Winterson traces the history of the AI revolution. She talks to some of the boldest and most imaginative thinkers in the field and looks to religion, myth and literature to help us understand the radical changes to the way we live and love that are just around the corner.

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.

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.

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.

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.

AI-First companies are the only trillion-dollar companies, and soon they will dominate even more industries, more definitively than ever before. These companies succeed by design--they collect valuable data from day one and use it to train predictive models that automate core functions. As a result, they learn faster and outpace the competition in the process. Thankfully, you don't need a PhD to learn how to win with AI. In The AI-First Company, internationally-renowned startup investor Ash Fontana offers an executable guide for applying AI to business problems.

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.

What does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create? With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing.

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.

What is happening to us as a species, and where are we heading as a society? Are we living in a free world under a silent artificial-intelligence control? Is modern-day society being manipulated with misinformation while our privacy is stolen from us? The Philosophy of Truth tries to answer these questions by venturing down rabbit holes of thought, theorizing on potential causes and effects. From observations to firsthand accounts, this book is an awakening for those ready to open their eyes and look beyond the surface level outcomes.

Companies small and large are initiating AI projects, investing vast sums of money on software, developers, and data scientists. Too often, these AI projects focus on technology at the expense of actionable or tangible business results, resulting in scattershot results and wasted investment. Succeeding with AI sets out a blueprint for AI projects to ensure they are predictable, successful, and profitable. It’s filled with practical techniques for running data science programs that are cost effective and focused on the right business goals.

This audio book on artificial intelligence is aimed at beginners and is designed to teach you the basics within the historical development of AI. For this reason, our journey begins with the section "Introduction and historical background of AI". Topics and contents of the lessons: I. Introduction and historical background. What is AI - a philosophical consideration, Strong and Weak AI, The Turing Test, The birth of the AI, The era of great expectations, Catching up with reality, How to teach a machine to learn, Distributed systems in the AI, Deep Learning, Machine Learning.

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.

This audiobook addresses the new branch called cyberpsychology, which shows how there has been a change in the person-technology relationship, analyzing how new developments affect the day-to-day life of the person, as well as the mental health of its users. All this is backed by an extensive bibliography on the latest research conducted in this area.

In the movies, robots can be terrifying. In reality, thinking machines are disrupting the world in ways that are even more disturbing than in Hollywood fantasies - but they also have the potential to change our lives for the better. In this stirring, visionary work, acclaimed roboticist Dr. Ayanna Howard explores how the tech world’s racial and sexual biases are infecting the next generation of Artificial Intelligence, with profoundly negative effects for humans of all genders and races.

With artificial intelligence on the rise, the way we run our organisations will change - and drastically. But what exactly will that future look like? And who will take the leading role: Machines or people? In this compelling new audiobook, leading management guru David De Cremer identifies the key areas where algorithms will collide with human skills, and assesses the likely outcomes. The author presents fascinating insights into the challenges that an automated work environment poses for organisations of the future.

Are you new to machine learning and looking to eventually launch a career in Python? Do you want to learn how to do machine learning with Python but you have problems getting started? Machine learning is a subject that has quickly become popular in a wide range of domains, such as data science and artificial intelligence among others. The use of machine learning in these domains offers incredible opportunities. If you are just starting your career, this could just be the best decision you make.

This follow-up to Bitcoin: Sovereignty Through Mathematics describes the old boxes we have been operating within, and how Bitcoin encourages us to challenge and reshape them. It takes the listener deeper down the rabbit hole and reveals how the honey badger that lives there is still indifferent to people's opinions about it.