Artificial Intelligence History

In Autonomy, former GM executive and current advisor to the Google Self-Driving Car project Lawrence Burns offers a sweeping history of the race to make the driverless car a reality. In the past decade, Silicon Valley companies like Google, Tesla and Uber have positioned themselves to revolutionize the way we move around by developing driverless vehicles while traditional auto companies like General Motors, Ford, and Daimler have been fighting back by partnering by with new tech start-ups.

Jax, a rogue Clakker, has wreaked havoc upon the Clockmakers' Guild by destroying the Grand Forge. Reborn in the flames, he must begin his life as a free Clakker, but liberation proves its own burden. Berenice, formerly the legendary spymaster of New France, mastermind behind her nation's attempts to undermine the Dutch Hegemony, has been banished from her homeland and captured by the Clockmakers Guild's draconian secret police force.

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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.

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.

When most of us think about artificial intelligence, our minds go straight to cyborgs, robots, and sci-fi thrillers where machines take over the world. But the truth is that artificial intelligence is already among us. It exists in our smartphones, fitness trackers, and refrigerators that tell us when the milk will expire. In some ways the future people dreamed of at the World's Fair in the 1960s is already here. We're teaching our machines how to think like humans, and they're learning at an incredible rate.

Hoy en día, el mundo se vacía de cosas y se llena de información inquietante como voces sin cuerpo. La digitalización desmaterializa y descorporeíza el mundo. En lugar de guardar recuerdos, almacenamos inmensas cantidades de datos. Los medios digitales sustituyen así a la memoria, cuyo trabajo hacen sin violencia ni demasiado esfuerzo. La información falsea los acontecimientos.

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.

Machine Learning: The History of Automating Computers to Observe and Analyze Data looks at the attempts to develop machine learning, from successes to failures. You will learn about machine learning like never before.

A New York Times Magazine writer explores the Next Big Thing in tech - the impending revolution in voice recognition - and shows how it will upend Silicon Valley and transform how we use computers, the Web, and much more. Every decade or so brings a seismic shift in how people interact with tech, from the PC to the internet to the smartphone. James Vlahos shows that we are on the cusp of the next shift: to voice computing. Siri and Alexa are early forms of this technology, but soon we may talk as fluently with our phones, appliances, cars, etc. as we do with any human.

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.

In Life Finds a Way, biologist Andreas Wagner reveals the deep symmetry between innovation in biological evolution and human cultural creativity. Rarely is either a linear climb to perfection - instead, "progress" is typically marked by a sequence of peaks, plateaus, and pitfalls. For instance, in Picasso's 40-some iterations of Guernica, we see the same combination of small steps, incessant reshuffling, and large, almost reckless, leaps that characterize the way evolution transformed a dinosaur's grasping claw into a condor's soaring wing.

Do you want to understand what big data is all about, but you don’t get all the hype? Are you intrigued by the idea of building a career around big data and data science, but you just don’t understand it? If so, this audiobook could be what you are looking for. If you know nothing about big data now, you will come away with a good overview of the subject and how it integrates into the other hot technologies of the day widely adopted by business, such as artificial intelligence, predictive analytics, and machine learning.

Things in life tend to fall apart. Cars break down. Buildings fall into disrepair. Yet today's researchers are exploiting newly understood properties of matter to program materials that physically sense, adapt, and fall together instead of apart. These materials open new directions for industrial innovation and challenge us to rethink the way we build and collaborate with our environment. Things Fall Together is a provocative guide to this emerging, often mind-bending reality, presenting a bold vision for harnessing the intelligence embedded in the material world.

What's wrong with preferring domestic assistants with feminine personalities? We like our assistants to conform to gender stereotypes - so what? For one thing, Strengers and Kennedy remind us, the design of gendered devices reinscribes outdated and unfounded stereotypes. Strengers and Kennedy offer a Smart Wife "manifesta", proposing a rebooted Smart Wife that would promote a revaluing of femininity in society in all her glorious diversity.

"The AI Revolution is Here: Preparing the Workforce for Change" by award-winning attorney, Christopher K. Boucher, Esq., provides a comprehensive guide on the integration of Artificial Intelligence (AI) into the workforce, focusing on legal and employment issues. It examines the transformative impact of AI across various industries, highlighting its potential to enhance efficiency, productivity, and personalization in the workplace.

AIs are everywhere, and they're changing everything. AI Explained: Facts, Fiction, and Future from best-selling author Nigel Poulton is your fast-track easy-to-understand guide to the exciting new world of Artificial Intelligence (AI).

Edward Ashford Lee explores the ways that engineers use models and abstraction to build inventive artificial worlds and to give us things that we never dreamed of - for example, the ability to carry in our pockets everything humans have ever published. But he also attempts to counter the runaway enthusiasm of some technology boosters who claim everything in the physical world is a computation - that even such complex phenomena as human cognition are software operating on digital data.

In this groundbreaking book, Fortune 500 innovation guru and creativity instructor Bryan Mattimore takes listeners on a journey through time to explore the unique personality quirks and crazy ideas of history's greats.

"Ethical AI: A Practical Guide to Navigating the Complexities of AI Ethics for Small Businesses" is an essential resource for business leaders, developers, and decision-makers who seek to understand and implement responsible AI practices. This concise guide breaks down the core principles of AI ethics, providing actionable insights into the challenges of bias, transparency, and accountability.