検索キーワード： 制作 "Penguin Audio" 機械理論・人工知能

In How to Create a Mind, Ray Kurzweil presents a provocative exploration of the most important project in human-machine civilization: reverse-engineering the brain to understand precisely how it works and using that knowledge to create even more intelligent machines. Kurzweil discusses how the brain functions, how the mind emerges, brain-computer interfaces, and the implications of vastly increasing the powers of our intelligence to address the world’s problems.

Recent years have seen rapid advances in 'artificial' intelligence, which increasingly appears to be something stranger than we ever imagined. At the same time, we are becoming more aware of the other intelligences which have been with us all along, unrecognised. These other beings are the animals, plants and natural systems that surround us, and are slowly revealing their complexity and knowledge - just as the new technologies we've built are threatening to cause their extinction, and ours.

Drawing on decades of research into decision-making under uncertainty, Gerd Gigerenzer makes a compelling case for the enduring importance of human discernment in an automated world that we are told can - and will - replace our efforts. Filled with practical examples and cutting-edge research, How to Stay Smart in a Smart World examines the growing role of AI at all levels of daily life with refreshing clarity. This book is a life raft in a sea of information and an urgent invitation to actively shape the digital world in which we want to live.

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.

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.

What robot and AI systems are being built and imagined right now? What do they say about us, their creators? Will they usher in a fantastic new future, or destroy us? What do some of our greatest thinkers, from physicist Brian Greene and futurist Kevin Kelly to inventor Dean Kamen, geneticist George Church, and filmmaker Tiffany Shlain, anticipate about our human-robot future? For even as robots and AI intrigue us and make us anxious about the future, our fascination with robots has always been about more than the potential of the technology.

The fruit of the long history of John Brockman's profound engagement with the most important scientific minds who have been thinking about AI - from Alison Gopnik and David Deutsch to Frank Wilczek and Stephen Wolfram - Possible Minds is an ideal introduction to the landscape of crucial issues AI presents. The collision between opposing perspectives is salutary and exhilarating; some of these figures are deeply concerned with the threat of AI, including the existential one, while others have a very different view.

The titans of Silicon Valley are racing to build a single world-changing piece of software. They know that whoever gets there first will revolutionise our relationship with technology - and make billions of dollars in the process. They call it voice computing. Computers that can speak and think just as clearly as humans may seem like the stuff of science fiction, but they are mere years away from becoming a reality. In Talk to Me, veteran tech journalist James Vlahos meets the researchers at Google, Amazon and Apple who are leading the way to a voice computing revolution.

The year 2016 marks the 60-year anniversary of the phrase 'artificial intelligence', and in this fascinating audiobook Luke Dormehl charts the weird and wonderful journey of one of mankind's greatest projects, the creation of Thinking Machines. This is a story of what it means to be human in the face of accelerating machine intelligence. It's about trying to make computers that are smarter than we are and what happens when it goes wrong. About what creativity means when all knowledge is data that can be stored on microchips.

What if everything in life could be reduced to a simple formula? What if numbers were able to tell us which partners we were best matched with – not just in terms of attractiveness, but for a long-term committed marriage? Or if they could say which films would be the biggest hits at the box office, and what changes could be made to those films to make them even more successful? Or even who out of us is likely to commit certain crimes, and when?

John Maeda is one of the world's preeminent thinkers on technology and design, and in How to Speak Machine, he offers a set of simple laws that govern not only the computers of today but the unimaginable machines of the future. Machines are already more powerful than we can comprehend and getting more powerful at an exponential pace. Once set in motion, algorithms never tire. And when a program's size, speed and endlessness combine with its ability to learn and transform itself, the outcome can be unpredictable and dangerous.

From mechanical looms to combustion engines to early computers, new technologies have always provoked panic about workers being replaced by machines. In the past, such fears have been misplaced, and many economists maintain that they remain so today. Yet in A World Without Work, Daniel Susskind shows why this time really is different. Advances in artificial intelligence mean that all kinds of jobs are increasingly at risk.

When AI expert and investigative journalist Karen Hao first began covering OpenAI in 2019, she thought they were the good guys. Founded as a nonprofit with safety enshrined as its core mission, the organization was meant, its leader Sam Altman told us, to act as a check against more purely mercantile, and potentially dangerous, forces. What could go wrong?

In The AI Con, the renowned AI insiders-turned-critics Emily M. Bender and Alex Hanna, offer a sharp, witty, and wide-ranging take-down of AI hype across all its forms, exposing it for what it really is: a mask for data theft, surveillance capitalism, and the devaluing of human creativity in order to replace meaningful work with jobs that treat people like machines.

Are we living in a simulation? MIT computer scientist Rizwan Virk draws from research and concepts from computer science, artificial intelligence, video games, quantum physics, and ancient mystics to explain why we may be living inside a simulated reality like the Matrix. The Simulation Hypothesis is the definitive book on simulation theory and is now completely updated to reflect the latest developments in artificial intelligence and virtual reality.