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 the near future, the nano-drug Nexus can link mind to mind. There are some who want to improve it. There are some who want to eradicate it. And there are others who just want to exploit it. When a young scientist is caught improving Nexus, he’s thrust over his head into a world of danger and international espionage, with far more at stake than anyone realizes.

Welga Ramirez, executive bodyguard and ex-special forces, is about to retire early when her client is killed in front of her. It’s 2095, and people don’t usually die from violence. Humanity is entirely dependent on pills that not only help them stay alive, but allow them to compete with artificial intelligence in an increasingly competitive gig economy. All that changes when Welga’s client is killed by the Machinehood, a new and mysterious terrorist group that has simultaneously attacked several major pill funders.

In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable. In this groundbreaking audiobook, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines.

The Most Human Human is a provocative, exuberant, and profound exploration of the ways in which computers are reshaping our ideas of what it means to be human. Its starting point is the annual Turing Test, which pits artificial intelligence programs against people to determine if computers can "think". Named for computer pioneer Alan Turing, the Turing Test convenes a panel of judges who pose questions - ranging anywhere from celebrity gossip to moral conundrums - to hidden contestants in an attempt to discern which is human and which is a computer.

The fruit of the long history of John Brockman's profound engagement with the most important scientific minds who have been thinking about AI - from Alison Gopnik and David Deutsch to Frank Wilczek and Stephen Wolfram - Possible Minds is an ideal introduction to the landscape of crucial issues AI presents. The collision between opposing perspectives is salutary and exhilarating; some of these figures are deeply concerned with the threat of AI, including the existential one, while others have a very different view.   

A bold and urgent argument by economist and former bank governor Mark Carney on the radical, foundational change that is required if we are to build an economy and society based not on market values but on human values. 

Machines Like Me occurs in an alternative 1980s London. Britain has lost the Falklands War, Margaret Thatcher battles Tony Benn for power, and Alan Turing achieves a breakthrough in artificial intelligence. Meanwhile, two lovers will be tested beyond their understanding. Charlie, drifting through life and dodging full-time employment, is in love with Miranda, a bright student who lives with a terrible secret. When Charlie comes into money, he buys Adam, one of the first batch of synthetic humans. With Miranda's assistance, he co-designs Adam's personality.

When it comes to what we believe, humans see what they want to see. In other words, we have what Julia Galef calls a "soldier" mindset. From tribalism and wishful thinking, to rationalizing in our personal lives and everything in between, we are driven to defend the ideas we most want to believe - and shoot down those we don't. 

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.

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.

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.

From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you'll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.

In this long-awaited collection, Hopkinson continues to expand the boundaries of culture and imagination. Whether she is retelling The Tempest as a new Caribbean myth, filling a shopping mall with unfulfilled ghosts, or herding chickens that occasionally breathe fire, Hopkinson continues to create bold fiction that transcends boundaries and borders.

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.