The human brain is an extraordinary machine. Its ability to process information and adapt to circumstances by reprogramming itself is unparalleled and it remains the best source of inspiration for recent developments in artificial intelligence. In How We Learn, Stanislas Dehaene decodes the brain's biological mechanisms, delving into the neuronal, synaptic, and molecular processes taking place. He explains why youth is such a sensitive period, but assures us that our abilities continue into adulthood and that we can enhance our learning and memory at any age.

Organizational psychologist Adam Grant is an expert on opening other people's minds - and our own. As Wharton's top-rated professor and the best-selling author of Originals and Give and Take, he makes it one of his guiding principles to argue like he's right but listen like he's wrong. With bold ideas and rigorous evidence, he investigates how we can embrace the joy of being wrong, bring nuance to charged conversations, and build schools, workplaces, and communities of lifelong learners. 

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.   

Ellenberg chases mathematical threads through a vast range of time and space, from the everyday to the cosmic, encountering, among other things, baseball, Reaganomics, daring lottery schemes, Voltaire, the replicability crisis in psychology, Italian Renaissance painting, artificial languages, the development of non-Euclidean geometry, the coming obesity apocalypse, Antonin Scalia's views on crime and punishment, the psychology of slime molds, what Facebook can and can't figure out about you, and the existence of God.

Bill Gates shares what he's learned in more than a decade of studying climate change and investing in innovations to address the problems, and sets out a vision for how the world can build the tools it needs to get to zero greenhouse gas emissions. Bill Gates explains why he cares so deeply about climate change and what makes him optimistic that the world can avoid the most dire effects of the climate crisis. Gates says, "We can work on a local, national, and global level to build the technologies, businesses, and industries to avoid the worst impacts of climate change."

Spread through the public in the form of popular stories, ideas can go viral and move markets - whether it's the belief that tech stocks can only go up or that housing prices never fall. Whether true or false, stories like these - transmitted by word of mouth, by the news media, and increasingly by social media - drive the economy by driving our decisions about how and where to invest, how much to spend and save, and more. But despite the obvious importance of such stories, most economists have paid little attention to them. Narrative Economics sets out to change that.

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.

In this collection of Jeff Bezos' writings - his unique and strikingly original annual shareholder letters, plus numerous speeches and interviews that provide insight into his background, his work, and the evolution of his ideas - you'll gain an insider's view of the why and how of his success. Spanning a range of topics across business and public policy, from innovation and customer obsession to climate change and outer space, this book provides a rare glimpse into how Bezos thinks about the world and where the future might take us.

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.  

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. 

Working Backwards is a practical guidebook and a corporate narrative, filled with the authors’ in-the-room recollections of what “Being Amazonian” is like and how it has affected their personal and professional lives. They demonstrate that success on Amazon’s scale is not achieved by the genius of any single leader, but rather through commitment to and execution of a set of well-defined, rigorously executed principles and practices - shared here for the very first time.

The guru to the gurus at last shares his knowledge with the rest of us. Nobel laureate Daniel Kahneman's seminal studies in behavioral psychology, behavioral economics, and happiness studies have influenced numerous other authors, including Steven Pinker and Malcolm Gladwell. In Thinking, Fast and Slow, Kahneman at last offers his own, first book for the general public. It is a lucid and enlightening summary of his life's work. It will change the way you think about thinking. Two systems drive the way we think and make choices, Kahneman explains....

In the years following her role as the lead author of the international best seller, Limits to Growth - the first book to show the consequences of unchecked growth on a finite planet - Donella Meadows remained a pioneer of environmental and social analysis until her untimely death in 2001. Thinking in Systems is a concise and crucial book offering insight for problem-solving on scales ranging from the personal to the global. Edited by the Sustainability Institute's Diana Wright, this essential primer brings systems thinking out of the realm of computers and equations and into the tangible world....

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 science of emotion is in the midst of a revolution on par with the discovery of relativity in physics and natural selection in biology. Leading the charge is psychologist and neuroscientist Lisa Feldman Barrett, whose research overturns the long-standing belief that emotions are automatic, universal, and hardwired in different brain regions. Instead, Barrett shows, we construct each instance of emotion through a unique interplay of brain, body, and culture.