Even the smartest among us can feel inept as we fail to figure out which light switch or oven burner to turn on, or whether to push, pull, or slide a door. The fault, argues this ingenious - even liberating - audiobook, lies not in ourselves, but in product design that ignores the needs of users and the principles of cognitive psychology. The Design of Everyday Things shows that good, usable design is possible. The rules are simple: make things visible, exploit natural relationships that couple function and control, and make intelligent use of constraints.

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.

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.

Called "the sleeper hit of the publishing season" by The Boston Globe, Shop Class as Soulcraft became an instant best seller, attracting fans with its radical (and timely) reappraisal of the merits of skilled manual labor. On both economic and psychological grounds, author Matthew B. Crawford questions the educational imperative of turning everyone into a "knowledge worker," based on a misguided separation of thinking from doing.

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.

Becoming Who We Need to Be is a book about the challenges we face as societies and how the decisions we make as individuals matter in those larger struggles. How we seek out, filter, and parse knowledge shapes our understanding of ourselves and of the world. How we analyze, organize, and act upon this information influences how well our individual ideas and ideologies scale up to the societal level.

The goal of this audiobook is to present the listener with a digestible explanation of neural networks while keeping the underlying concepts intact. The listener will acquire fundamental knowledge of neural networks through loosely related chapters that nonetheless reference terms and ideas mentioned throughout the audiobook. The audiobook itself isn’t meant to be strictly academic, but a blend of colloquial and technical that brings this exciting, yet eerie, topic to the widest swath of the general public.

Once we were drivers, the open road alive with autonomy, adventure, danger, trust, and speed. Today we are as likely to be in the back seat of an Uber as behind the wheel ourselves. Tech giants are hurling us toward a shiny, happy "self-driving" future, selling utopia but equally keen to advertise to a captive audience strapped into another expensive device. Are we destined, then, to become passengers, not drivers? Why We Drive reveals that much more may be at stake than we might think.

Artificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predicting outcomes and even use sensors to see around physical and virtual corners. So why does Intelligence frequently get it so wrong? The answer is us. Humans design the algorithms that define the way that AI works and the processed information reflects an imperfect world.

We are now standing at the precipice of the next transformative development: The Internet of Things. Soon, connected technology will be embedded in hundreds of everyday objects we already use: our cars, wallets, watches, umbrellas, even our trash cans. These objects will respond to our needs, come to know us, and learn to think on our behalf. David Rose calls these devices - which are just beginning to creep into the marketplace - Enchanted Objects.

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).

We often complain about our fractured mental lives and feel beset by outside forces that destroy our focus and disrupt our peace of mind. Any defense against this, Crawford argues, requires that we reckon with the way attention sculpts the self. Crawford investigates the intense focus of ice hockey players and short-order chefs, the quasi-autistic behavior of gambling addicts, the familiar hassles of daily life, and the deep, slow craft of building pipe organs.

With wit and sharp insight, former Traffic Commissioner of New York City, Sam Schwartz a.k.a. "Gridlock Sam", one of the most respected transportation engineers in the world and consummate insider in NYC political circles, uncovers how American cities became so beholden to cars and why the current shift away from that trend will forever alter America's urban landscapes, marking nothing short of a revolution in how we get from place to place.

Are you confused about what all the rage behind artificial intelligence is and would like to learn more? This audiobook covers everything from machine learning to robotics and the internet of things. You can use it as a nifty guidebook whenever you come across news headlines that talk about some new advancement in AI by Google or Facebook. By the time you finish listening, you will be aware of what artificial neural networks are, how gradient descent and back propagation work, and what deep learning is.

In a near-future New York City, where self-driving cars roam the city streets, rival entrepreneurs Brandon and Tyler compete to produce the smartest AIs, training them in a virtual game world. As the two rivals struggle to dominate the market, their personal enmity pushes them to attack each other's reputations, hack each other's cars, and develop ever more sophisticated algorithms to keep their customers safe. The result? Intelligent computers that excel at using all available data to determine which humans should live, and which should die.