We are approaching a critical threshold in the history of our species. Everything is about to change. Soon you will live surrounded by AIs. They will organize your life, operate your business, and run core government services. You will live in a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy.

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

When Michael Lewis first met him, Sam Bankman-Fried was the world’s youngest billionaire and crypto’s Gatsby. CEOs, celebrities, and leaders of small countries all vied for his time and cash after he catapulted, practically overnight, onto the Forbes billionaire list. Who was this rumpled guy in cargo shorts and limp white socks, whose eyes twitched across Zoom meetings as he played video games on the side?

When Elon Musk was a kid in South Africa, he was regularly beaten by bullies. One day a group pushed him down some concrete steps and kicked him until his face was a swollen ball of flesh. He was in the hospital for a week. But the physical scars were minor compared to the emotional ones inflicted by his father, an engineer, rogue, and charismatic fantasist.

Artificial intelligence is forecasted to have trillions of dollars of impact on businesses and the economy, yet many marketers struggle to understand what it is and how to apply it in their marketing efforts. The truth is, AI possesses the power to change everything. Marketing Artificial Intelligence draws on years of research and dozens of interviews with AI marketers, executives, engineers, and entrepreneurs. Roetzer and Kaput present the current potential of AI, as well as a glimpse into the near future.

By the end of on average day in the early 21st century, human beings searching the Internet will amass eight trillion gigabytes of data. This staggering amount of information - unprecedented in history - can tell us a great deal about who we are - the fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than 20 years ago seemed unfathomable.

In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very concept of the firm. AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.

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.

You may be surprised to learn that microchips are the new oil—the scarce resource on which the modern world depends. Today, military, economic, and geopolitical power are built on a foundation of computer chips. Virtually everything—from missiles to microwaves—runs on chips, including cars, smartphones, the stock market, even the electric grid. Until recently, America designed and built the fastest chips and maintained its lead as the #1 superpower, but America’s edge is in danger of slipping, undermined by players in Taiwan, Korea, and Europe taking over manufacturing.

Following his blockbuster biography of Steve Jobs, The Innovators is Walter Isaacson’s revealing story of the people who created the computer and the Internet. It is destined to be the standard history of the digital revolution and an indispensable guide to how innovation really happens. What were the talents that allowed certain inventors and entrepreneurs to turn their visionary ideas into disruptive realities? What led to their creative leaps? Why did some succeed and others fail?

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

Based on remarkable new research, acclaimed historian Alexander Rose brings to life the true story of the spy ring that helped America win the Revolutionary War. For the first time, Rose takes us beyond the battlefront and deep into the shadowy underworld of double agents and triple crosses, covert operations and code breaking, and unmasks the courageous, flawed men who inhabited this wilderness of mirrors—including the spymaster at the heart of it all.

For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered that the brain uses map-like structures to build a model of the world - not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important questions about how we perceive the world, why we have a sense of self, and the origin of high-level thought.

In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.

Coal, iron ore, and oil were the key productive assets that fueled the Industrial Revolution. Today data is the vital raw material of the information economy. The explosive abundance of this digital asset, more than doubling every two years, is creating a new world of opportunity and challenge. Data-ism is about this next phase, in which vast, Internet-scale data sets are used for discovery and prediction in virtually every field. It is a journey across this emerging world with people, illuminating narrative examples, and insights.

Today, not only is everything digital getting faster, cheaper, and smaller at an exponential rate, we also have the Internet. When these two revolutions - one in technology and the other in communications - joined, an explosive force was unleashed that changed the very nature of innovation. And with any change, we have seen many strategic blunders and extraordinary learning curves along the way.

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.

Women are not ancillary to the history of technology; they turn up at the very beginning of every important wave. But they've often been hidden in plain sight, their inventions and contributions touching our lives in ways we don't even realize. Vice reporter and YACHT lead singer Claire L. Evans finally gives these unsung female heroes their due with her insightful social history of the Broad Band, the women who made the Internet what it is today. Evans shows us how these women built and colored the technologies we can't imagine life without.

At a time when Steve Jobs was only a teenager and Mark Zuckerberg wasn't even born, a group of visionary engineers and designers - some of them only high school students - in the late 1960s and 1970s created a computer system called PLATO, which was not only years but light-years ahead in experimenting with how people would learn, engage, communicate, and play through connected computers.

Ori Brafman and management consultant Judah Pollack dramatically demonstrate how even the best and most efficient organizations - from Fortune 500 companies to today's US Army - can become more innovative by allowing a little unstructured space and "contained chaos" into their planning and decision-making. Through their consulting work, they realized that while structure and hierarchy are essential both in large corporations and small groups, too much of either can stifle creativity.

In this authoritative and fascinating new audiobook, Keith Sawyer, a psychologist at Washington University, tears down some of the most popular myths about creativity and erects new principles in their place. He reveals that creativity is always collaborative: even when you're alone. Sawyer's audiobook is filled with compelling stories about the inventions that changed our world.

No Better Time tells of a young, driven mathematical genius who wrote a set of algorithms that would create a faster, better Internet. It's the story of a beautiful friendship between a loud, irreverent student and his soft-spoken MIT professor, of a husband and father who spent years struggling to make ends meet only to become a billionaire almost overnight with the success of Akamai Technologies, the Internet content delivery network he cofounded with his mentor.

In The Idea Factory, New York Times Magazine writer Jon Gertner reveals how Bell Labs served as an incubator for scientific innovation from the 1920s through the1980s. In its heyday, Bell Labs boasted nearly 15,000 employees, 1200 of whom held PhDs and 13 of whom won Nobel Prizes. Thriving in a work environment that embraced new ideas, Bell Labs scientists introduced concepts that still propel many of today’s most exciting technologies.

When scholars write the history of the world twenty years from now, what will they say was the most crucial development in the first few years of the twenty-first century? The attacks on the World Trade Center on 9/11 and the Iraq war? Or the convergence of technology and events that allowed India, China, and so many other countries to become part of the global supply chain for services and manufacturing, creating an explosion of wealth in the middle classes of the world's two biggest nations?

When Duke University gave free iPods to the freshman class in 2003, critics said they were wasting their money. Yet when the students in practically every discipline invented academic uses for the music players, suddenly the idea could be seen in a new light - as an innovative way to turn learning on its head. Using cutting-edge research on the brain, Cathy N. Davidson show how attention blindness has produced one of our society's greatest challenges.

It used to be that to diagnose an illness, interpret legal documents, analyze foreign policy, or write a newspaper article you needed a human being with specific skills - and maybe an advanced degree or two. These days, high-level tasks are increasingly being handled by algorithms that can do precise work not only with speed but also with nuance. These "bots" started with human programming and logic, but now their reach extends beyond what their creators ever expected.

Long before Margaret O'Mara became one of our most consequential historians of the American-led digital revolution, she worked in the White House of Bill Clinton and Al Gore in the earliest days of the commercial Internet. There, she saw firsthand how deeply intertwined Silicon Valley was with the federal government - and always had been - and how shallow the common understanding of the secrets of the Valley's success actually was.

In December 2009, Google began customizing its search results for each user. Instead of giving you the most broadly popular result, Google now tries to predict what you are most likely to click on. According to MoveOn.org board president Eli Pariser, Google's change in policy is symptomatic of the most significant shift to take place on the Web in recent years: the rise of personalization.

Lee Hood did that rarest of things. He enabled scientists to see things they couldn't see before and do things they hadn't dreamed of doing. Scientists can now sequence complete human genomes in a day, setting in motion a revolution that is personalizing medicine. Hood, a son of the American West, was an unlikely candidate to transform biology. But with ferocious drive, he led a team at Caltech that developed the automated DNA sequencer, the tool that paved the way for the Human Genome Project.

In June of 2024, spurred by the frenzy of investment following the launch of ChatGPT, and thirty-one years after its founding in a Denny’s restaurant, Nvidia became the most-valuable corporation on Earth. In The Thinking Machine, acclaimed journalist Stephen Witt recounts the unlikely story of how a manufacturer of video game components shocked Silicon Valley by conquering the market for AI hardware, and in the process re-invented the computer.

Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Taking inspiration from the human mind, professors Gary Marcus and Ernest Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.

The riveting story of the legendary Xerox PARC, a collection of eccentric young inventors brought together by Xerox Corporation at a facility in Palo Alto, California, during the mind-blowing intellectual ferment of the '70s and '80s.

The Revolution of Money delves into the captivating journey of money's evolution, a narrative that unravels the intricate relationship between technology, history, and society at large. This book explores the pivotal role money plays as the backbone of our society's most significant challenges and opportunities. Two thousand years ago, humans used a wide variety of materials as money. Today, 90% of our money exists as digital computer entries. How did we arrive at this current system? And what may happen to money in the future?

In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.

We’re all fed up with bogus “make money online” bulls**t. Isn’t this industry long overdue for a legitimate, step-by-step guide to building an internet business? Not a crappy $97 PDF delivered via email. Just the age-old gold standard: a reasonably priced book. This audiobook contains everything you need to start an online business in the affiliate marketing, internet marketing, blogging, and e-commerce industries…using less than $100. It doesn’t matter if you’re brand new to this or if you’ve tried for years without seeing success.

Using over 40 simple lessons, How to Lead Smart People shows you how to manage a team of equals with intelligence and diplomacy. Traditional skills are re-evaluated for the leader of a smart team. Split into three sections: leading yourself, leading your team and leading your organisation, the book offers advice for 360-degree management. How to Lead Smart People teaches core skills such as decision-making and delegating but also soft skills such as delivering good and bad news to team members and how to realise longer-term aims such as building trust and growing your team.

We are approaching a critical threshold in the history of our species. Everything is about to change. Soon you will live surrounded by AIs. They will organize your life, operate your business, and run core government services. You will live in a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy.

In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.

Something new entered our world in November 2022—the first general purpose AI that could pass for a human and do the kinds of creative, innovative work that only humans could do previously. Wharton professor Ethan Mollick immediately understood what ChatGPT meant: after millions of years on our own, humans had developed a kind of co-intelligence that could augment, or even replace, human thinking. Through his writing, speaking, and teaching, Mollick has become one of the most prominent and provocative explainers of AI.

How will artificial intelligence affect crime, war, justice, jobs, society, and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology - and there's nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who's helped mainstream research on how to keep AI beneficial.