From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

The New York Times best-selling Freakonomics changed the way we see the world, exposing the hidden side of just about everything. Now, with Think Like a Freak, Steven D. Levitt and Stephen J. Dubner have written their most revolutionary book yet. With their trademark blend of captivating storytelling and unconventional analysis, they take us inside their thought process and offer a blueprint for an entirely new way to solve problems. The topics range from business to philanthropy to sports to politics, all with the goal of retraining your brain.

SuperFreakonomics challenges the way we think all over again, exploring the hidden side of everything with such questions as: How is a street prostitute like a department-store Santa? What do hurricanes, heart attacks, and highway deaths have in common? Can eating kangaroo save the planet? Levitt and Dubner mix smart thinking and great storytelling like no one else.

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 his most ambitious work to date, Thomas L. Friedman shows that we have entered an age of dizzying acceleration - and explains how to live in it. Due to an exponential increase in computing power, climbers atop Mount Everest enjoy excellent cell phone service, and self-driving cars are taking to the roads. A parallel explosion of economic interdependency has created new riches as well as spiraling debt burdens.

Hello World takes us on a tour through the good, the bad, and the downright ugly of the algorithms that surround us on a daily basis. Mathematician Hannah Fry reveals their inner workings, showing us how algorithms are written and implemented, and demonstrates the ways in which human bias can literally be written into the code. By weaving in relatable, real world stories with accessible explanations of the underlying mathematics that power algorithms, Hello World helps us to determine their power, expose their limitations, and examine whether they really are improvements.

Artificial Intelligence helps choose what books you buy, what movies you see, and even who you date. It puts the "smart" in your smartphone and soon it will drive your car. It makes most of the trades on Wall Street, and controls vital energy, water, and transportation infrastructure. But Artificial Intelligence can also threaten our existence. In as little as a decade, AI could match and then surpass human intelligence. Corporations and government agencies are pouring billions into achieving AI’s Holy Grail - human-level intelligence.

Artificial intelligence is going to change the world as we know it. But the real danger isn't some robot that's going to enslave us: It's our own brain. Our brains are constantly making decisions using shortcuts, biases, and hidden processes—and we're using those same techniques to create technology that makes choices for us. In The Loop, award-winning science journalist Jacob Ward reveals how we are poised to build all of our worst instincts into our AIs, creating a narrow loop where each generation has fewer, predetermined, and even dangerous choices.

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.

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.

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.

Surviving AI is a concise, easy guide to what's coming, taking you through technological unemployment (the economic singularity) and the possible creation of a superintelligence (the technological singularity).

In The End of Life as We Know It, best-selling author Michael Guillen takes a penetrating look at how the scientific community is pushing the boundaries of morality. The End of Life as We Know It takes us into laboratories and boardrooms where these troubling advances are taking place and asks the question no scientists seem to be asking: What does this mean for the future of humanity?

Today, number crunching affects your life in ways you might never imagine. In this lively and groundbreaking new audiobook, economist Ian Ayres shows how today's best and brightest organizations are analyzing massive databases at lightening speed to provide greater insights into human behavior. They are the Super Crunchers.

How do you tell a real trend from the merely trendy? How, for example, will a technology—like artificial intelligence, machine learning, self-driving cars, biohacking, bots, and the Internet of Things—affect us, our businesses, and workplaces? How will it eventually change the way we live, work, play, and think—and how should we prepare for it now? In The Signals Are Talking, noted futurist Amy Webb shows us how to analyze the "true signals" and land on the right side of disruption.

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.

A fascinating guided tour of the complex, fast-moving, and influential world of algorithms - what they are, why they’re such powerful predictors of human behavior, and where they’re headed next. Algorithms exert an extraordinary level of influence on our everyday lives - from dating websites and financial trading floors, through to online retailing and internet searches - Google's search algorithm is now a more closely guarded commercial secret than the recipe for Coca-Cola.

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.

Today, number crunching affects your life in ways you might never imagine. In this lively and groundbreaking new audiobook, economist Ian Ayres shows how today's best and brightest organizations are analyzing massive databases at lightening speed to provide greater insights into human behavior. They are the Super Crunchers.

Our increasing reliance on technology and the Internet has opened a window for mathematicians and data researchers to gaze through into our lives. Using the data they are constantly collecting about where we travel, where we shop, what we buy, what interests us, they can begin to predict our daily habits, and increasingly we are relinquishing our decision making to algorithms - are we giving up this up too easily?

The COVID-19 pandemic, increasingly frequent climate disasters, a new war—events we might have called “unimaginable” or “unthinkable” in the past are now reality. Today it feels more challenging than ever to feel unafraid, hopeful, and equipped to face the future with optimism. How do we map out our lives when it seems impossible to predict what the world will be like next week, let alone next year or next decade? What we need now are strategies to help us recover our confidence and creativity in facing uncertain futures.

We used to know how to know. We got our answers from books or experts. We'd nail down the facts and move on. But in the Internet age, knowledge has moved onto networks. There's more knowledge than ever, of course, but it's different. Topics have no boundaries, and nobody agrees on anything.Yet this is the greatest time in history to be a knowledge seeker - if you know how.

Buying groceries, tracking our health, finding a date: whatever we want to do, odds are that we can now do it online. But few of us ask how all these digital products are designed, or why. It's time we change that. Many of the services we rely on are full of oversights, biases, and downright ethical nightmares. Chatbots that harass women. Signup forms that fail anyone who's not straight. Social media sites that send peppy messages about dead relatives. Algorithms that put more black people behind bars.

Many people today are so dazzled by the long-term potential for artificial intelligence that they overlook the much clearer and more immediate potential for a new form of "collective intelligence": the intelligence of groups of people and computers working together. In Superminds, Thomas Malone explains what we need to do to take advantage of this potential. Groundbreaking and utterly fascinating, Superminds will change the way you work - both with others and with computers - for the better.

In Smarter Than You Think, Thompson documents how every technological innovation - from the printing press to the telegraph - has provoked the very same anxieties that plague us today. We panic that life will never be the same, that our attentions are eroding, that culture is being trivialized. But as in the past, we adapt, learning to use the new and retaining what’s good of the old.

With more than 50,000 copies sold in Denmark, this book has been on the bestseller list since its publication in 2017. Barack Obama used a secret competitive advantage to win two elections. Companies such as Google, Amazon and Novo Nordisk use the same insight to stir up innovation, increase compliance, improve the work environment and sell more products. And successful management groups in the C20 index have started using it as their preferred strategy. But what kind of insight are we talking about here? The answer is - behavioural design.

New York Times, Wired, Atlantic Monthly, Discover bestselling author Steven Kotler has written extensively about those pivotal moments when science fiction became science fact...and fundamentally reshaped the world. Now he gathers the best of his best, updated and expanded upon, to guide listeners on a mind-bending tour of the far frontier, and how these advances are radically transforming our lives.

Everything All at Once is an exciting, inspiring call to unleash the power of the nerd mindset that exists within us all. Nye believes we'll never be able to tackle our society's biggest, most complex problems if we don't even know how to solve the small ones. Step by step, he shows his listeners the key tools behind his everything-all-at-once approach: radical curiosity, a deep desire for a better future, and a willingness to take the actions needed to make it a reality.

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.

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.