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.

AI will be the defining development of the 21st century. Within two decades, aspects of daily human life will be unrecognizable. AI will generate unprecedented wealth, revolutionize medicine and education through human-machine symbiosis, and create brand-new forms of communication and entertainment. In liberating us from routine work, however, AI will also challenge the organizing principles of our economic and social order. 

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. 

The bestselling author of Leonardo da Vinci and Steve Jobs returns with a “compelling” (The Washington Post) account of how Nobel Prize winner Jennifer Doudna and her colleagues launched a revolution that will allow us to cure diseases, fend off viruses, and have healthier babies.

Almost 10 years ago, Bloomberg journalist Brad Stone captured the rise of Amazon in his best seller The Everything Store. Since then, Amazon has expanded exponentially, inventing novel products like Alexa and disrupting countless industries, while its workforce has quintupled in size and its valuation has soared to nearly two trillion dollars. 

Ali Tamaseb has spent thousands of hours manually amassing what may be the largest dataset ever collected on start-ups, comparing billion-dollar start-ups with those that failed to become one - 30,000 data points on nearly every factor: number of competitors, market size, the founder’s age, his or her university’s ranking, quality of investors, fundraising time, and many, many more. And what he found looked far different than expected.  

From the best-selling author of Thinking, Fast and Slow, the co-author of Nudge, and the author of You Are About to Make a Terrible Mistake! comes Noise, a revolutionary exploration of why people make bad judgments, and how to control both noise and cognitive bias.

What does it mean to be a human in a world that is increasingly built by and for machines? In Futureproof: 9 Rules for Humans in the Age of Automation, New York Times technology columnist Kevin Roose lays out a hopeful, pragmatic vision of how people can succeed in the machine age by making themselves irreplaceably human. He shares the secrets of people and organizations that have survived technological change, and explains how we can protect our own futures.

The dramatic inside story of the first four historic flights that launched SpaceX - and Elon Musk - from a shaky startup into the world's leading-edge rocket company. 

Traditionally, Americans learned in school that the ancestors of the people who inhabited the Western Hemisphere at the time of Columbus' landing had crossed the Bering Strait 12,000 years ago; existed mainly in small nomadic bands; and lived so lightly on the land that the Americas were, for all practical purposes, still a vast wilderness. But as Charles C. Mann now makes clear, archaeologists and anthropologists have spent the last 30 years proving these and many other long-held assumptions wrong.

In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.  

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.

As robots are increasingly integrated into modern society - on the battlefield and the road, in business, education, and health - Pulitzer Prize-winning New York Times science writer John Markoff searches for an answer to one of the most important questions of our age: Will these machines help us, or will they replace us?

Innovations rarely come from “experts.” Elon Musk was not an “electric car person” before he started Tesla. When it comes to improbable innovations, a legendary tech VC told Sebastian Mallaby, the future cannot be predicted, it can only be discovered. It is the nature of the venture-capital game that most attempts at discovery fail, but a very few succeed at such a scale that they more than make up for everything else. 

Jim Simons is the greatest money maker in modern financial history. No other investor - Warren Buffett, Peter Lynch, Ray Dalio, Steve Cohen, or George Soros - can touch his record. Since 1988, Renaissance's signature Medallion fund has generated average annual returns of 66 percent. The firm has earned profits of more than $100 billion; Simons is worth 23 billion dollars.