In A Hacker’s Mind, Bruce Schneier takes hacking out of the world of computing and uses it to analyze the systems that underpin our society: from tax laws to financial markets to politics. He reveals an array of powerful actors whose hacks bend our economic, political, and legal systems to their advantage, at the expense of everyone else.

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.

What is genius? The word evokes iconic figures like Einstein, Beethoven, Picasso, and Steve Jobs, whose cultural contributions have irreversibly shaped society. Yet Beethoven could not multiply. Picasso couldn’t pass a fourth grade math test. And Jobs left high school with a 2.65 GPA. The Hidden Habits of Genius explores the meaning of this contested term, and the unexpected motivations of those we have dubbed "genius" throughout history, from Charles Darwin and Marie Curie to Leonardo Da Vinci and Andy Warhol to Toni Morrison and Elon Musk.

Poker math is a vitally important aspect to no-limit hold'em poker, but it's often overlooked or simply not used because many poker players fear it's too difficult to learn. I'm here to tell you it is not. In fact, fundamental poker math is very easy to learn. After listening to this book, you'll have mastered fundamental no-limit hold'em mathematics. You'll have gained a huge skill advantage over your opponents and will be able to effectively use math at the poker table to make profitable moves. Most importantly, you'll become a much better and profitable poker player!

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.

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.

From the creator of the wildly popular blog Wait but Why, a fun and fascinating deep dive into what the hell is going on in our strange, unprecedented modern times.

If you read (or listen to) nothing else on artificial intelligence and machine learning, listen to these ten articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand the future direction of AI, bring your AI initiatives to scale, and use AI to transform your organization.

On May 6, 2010, financial markets around the world tumbled simultaneously and without warning. In the span of five minutes, a trillion dollars of valuation was lost. The Flash Crash, as it became known, represented the fastest drop in market history. When share values rebounded less than half an hour later, experts around the globe were left perplexed. A real-life financial thriller, Flash Crash uncovers the remarkable, behind-the-scenes narrative of a mystifying market crash, a globe-spanning investigation into international fraud, and the man at the center of them both.

What does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create? With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing.