History Artificial

A barely employed tech worker has never felt they belonged. Not in society, not even in their own family. Their days are filled with loneliness, a struggle to survive and a desperate search for connection—even if that connection is merely virtual. Now, a black-market hacker promises to open a new world for them, and it works—in ways no human has ever experienced. They find a world of wonder, of possibilities and of danger—where their new virtual reality could mean the end of their physical reality. And what they discover could change the fate of humankind—forever.

The Economic Singularity is the time when most people cannot find employment, because machines can do everything that humans can do for money cheaper, faster, and better than they can. Some people say this will never happen, but most AI professionals think it will, although they disagree about when.

Artificial intelligence surrounds us. More and more of the systems and services you interact with every day are based on AI technology. Most AI is narrowly specific; that is, it can only do a single thing, in a single context. Human intelligence is different. We can solve a variety of tasks, including those we have not seen before. In Artificial General Intelligence, Julian Togelius explores technical approaches to developing more general artificial intelligence and asks what general AI would mean for human civilization.

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. He also considers the future, assessing whether these technologies could menace our way of life and how we are all likely to benefit from AI applications in the years to come.

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.

Brilliant offers a sweeping view of a surprisingly revealing aspect of human history - from the stone lamps of the Pleistocene to the LEDs embedded in fabrics of the future. Jane Brox plumbs the class implications of light - who had it, who didn't - through the many centuries when crude lamps and tallow candles constricted waking hours. Brillant is infused with human voices, startling insights, and - only a few years before it becomes illegal to sell most incandescent light bulbs in the United States - timely questions about how our future lives will be shaped by light.

Neither a protest against AI, nor a speculative work on how AI could replace humans, Algorithms of Armageddon provides a time-critical understanding of why AI is being implemented through state weaponization, the realities for the global power balance, and more importantly, U.S. national security.

The artificial intelligence revolution has begun. Today, there are self-driving cars on our streets, autonomous weapons in our armies, robot surgeons in our hospitals - and AI's presence in our lives will only increase. One thing is clear: this is a technology like no other, one that raises profound questions about freedom, justice and the very definition of human agency. In Moral AI, world-renowned researchers in artificial intelligence and philosophy, Jana Schaich Borg, Walter Sinnott-Armstrong and Vince Conitzer tackle these thorny issues head-on.

Humanity has reached a critical moment. Our world is unsettled and rapidly changing, and we face existential risks over the next century. Various outcomes - good and bad - are possible. Yet our approach to the future is characterized by short-term thinking, polarizing debates, alarmist rhetoric, and pessimism. In this short, exhilarating book, renowned scientist and best-selling author Martin Rees argues that humanity’s prospects depend on our taking a very different approach to planning for tomorrow.

Leading innovation expert Alec Ross explains what's next for the world, mapping out the advances and stumbling blocks that will emerge in the next 10 years - for businesses, governments, and the global community - and how we can navigate them.

What to Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on artificial intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans, it raises profound questions on the future of work and how companies compete.

Dozens of times per day, we all interact with intelligent machines that are constantly learning from the wealth of data now available to them. These machines are remaking the world of the 21st century in the same way that the Industrial Revolution remade the world of the 19th century. AIQ is based on a simple premise: If you want to understand the modern world, then you have to know a little bit of the mathematical language spoken by intelligent machines. AIQ will teach listeners that language - but in an unconventional way, anchored in stories rather than mathematics.

In this book, you'll learn how: data science, driven by artificial intelligence and machine learning, is yielding unprecedented business insights; blockchain has the potential to restructure the economy; drones and driverless vehicles are becoming essential tools; 3-D printing is making new business models possible; augmented reality is transforming retail and manufacturing; smart speakers are redefining the rules of marketing; and humans and machines are working together to reach new levels of productivity.

Literary Theory for Robots reveals the hidden history of modern machine intelligence, taking listeners on a spellbinding journey from medieval Arabic philosophy to visions of a universal language, past Hollywood fiction factories, and missile defense systems trained on Russian folktales. In this provocative reflection on the shared pasts of literature and computer science, former Microsoft engineer and professor of comparative literature Dennis Yi Tenen provides crucial context for recent developments in AI, which holds important lessons for the future of humans living with smart technology.

If you want to learn about artificial intelligence without having to go through a boring textbook, then pay attention....

In this audiobook, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general listener, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context.

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.

Flipping TVs is a business model that is often overlooked, but those who are getting involved and know what to look out for can make impressive additional incomes–with very little effort.

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.

"You look like a thing and I love you" is one of the best pickup lines ever...according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog AI Weirdness. She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans — all to understand the technology that governs so much of our daily lives.