AI expert Yorick Wilks takes a journey through the history of artificial intelligence up to the present day, examining its origins, controversies, and achievements, as well as looking into just how it works. He also considers the future, assessing whether these technologies could menace our way of life and how we are all likely to benefit from AI applications in the years to come.

All the matter and light we can see in the universe makes up a trivial five per cent of everything. The rest is hidden. This could be the biggest puzzle that science has ever faced. Since the 1970s, astronomers have been aware that galaxies have far too little matter in them to account for the way they spin around: they should fly apart, but something concealed holds them together. That ’something' is dark matter - invisible material in five times the quantity of the familiar stuff of stars and planets.

The runaway success of the microchip may finally be reaching its end. As shrinking transistors approach the size of atoms, the phenomenal growth of computational power inevitably collapses. But this change heralds the birth of a revolutionary new type of computer, one that calculates on atoms themselves. Quantum computers promise unprecedented gains in computing power, enabling advancements that could overturn every aspect of our daily lives.

Just 45 years ago, the age of gene modification was born. Researchers could create glow-in-the-dark mice, farmyard animals producing drugs in their milk, and vitamin-enhanced rice that could prevent half a million people going blind every year. But now GM is rapidly being supplanted by a new system called CRISPR or "gene editing". Using this approach, scientists can manipulate the genes of almost any organism with a degree of precision, ease and speed that we could only dream of ten years ago.

For centuries mankind has waged war against the infections that, left untreated, would have the power to wipe out communities, or even entire populations. Yet for all our advanced scientific knowledge, only one human disease - smallpox - has ever been eradicated globally. In recent years, outbreaks of Ebola and Zika have provided vivid examples of how difficult it is to contain an infection once it strikes and the panic that a rapidly spreading epidemic can ignite.

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.

Embark on a compelling exploration into the world of AI, where future reality meets boundless possibility. Can you afford to remain in the dark? When you watch a movie suggested by Netflix's AI, talk to your favorite brand's chatbot, or follow your car's navigation to the new restaurant in town, you interact with AI. Most people are spectators rather than actors in this fast-evolving digital epoch. This is where the insightful journey author Will Davis guides you on will change your perspective.

Why is Red Bull so popular, though everyone—everyone!—hates the taste? Humans are, in a word, irrational, basing decisions as much on subtle external signals (that little blue can) as on objective qualities (flavor, price, quality). The surrounding world, meanwhile, is irreducibly complex and random. This means future success can’t be projected on any accounting spreadsheet. To strike gold, you must master the dark art and curious science of conjuring irresistible ideas: alchemy.

There may never be another era of science like the first half of the twentieth century, when many of the most important physicists ever to live—Marie Curie, Max Planck, Wolfgang Pauli, Niels Bohr, Werner Heisenberg, Ernst Schrödinger, Albert Einstein, and others—came together to uncover the quantum world: a concept so outrageous and shocking, so contrary to traditional physics, that its own founders rebelled against it until the equations held up and fundamentally changed our understanding of reality. Tobias Hürter takes us back to this uniquely momentous and harrowing time.

We live in the age of the algorithm. Increasingly, the decisions that affect our lives—where we go to school, whether we can get a job or a loan, how much we pay for health insurance—are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.

In The Second Machine Age, Andrew McAfee and Erik Brynjolfsson predicted some of the far-reaching effects of digital technologies on our lives and businesses. Now they’ve written a guide to help listeners make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments.

In this book, Amy Webb reveals the pervasive, invisible ways in which the foundations of AI - the people working on the system, their motivations, the technology itself - is broken. Within our lifetimes, AI will, by design, begin to behave unpredictably, thinking and acting in ways which defy human logic. The big nine corporations may be inadvertently building and enabling vast arrays of intelligent systems that don't share our motivations, desires, or hopes for the future of humanity.

Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code - without halting the advance of data-driven scientific exploration.

This audiobook bundle includes three titles: Artificial Intelligence for People in a Hurry - Artificial Intelligence is coming; and it's coming whether we like it or not. This book is a good guide to understand how AI will impact every aspect of our daily lives, and the steps you can take to take advantage of it. Machine Learning in Finance - While machine learning and finance have generally been seen as separate entities, this book looks at several applications of machine learning in the financial world. And lastly Machine Learning with Python....

Who Owns the Future? is a visionary reckoning with the effects network technologies have had on our economy. Lanier asserts that the rise of digital networks led our economy into recession and decimated the middle class. Now, as technology flattens more and more industries - from media to medicine to manufacturing - we are facing even greater challenges to employment and personal wealth. But there is an alternative to allowing technology to own our future....

In The Second Machine Age, Andrew McAfee and Erik Brynjolfsson predicted some of the far-reaching effects of digital technologies on our lives and businesses. Now they’ve written a guide to help listeners make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments.

Many people today are so dazzled by the long-term potential for artificial intelligence that they overlook the much clearer and more immediate potential for a new form of "collective intelligence": the intelligence of groups of people and computers working together. In Superminds, Thomas Malone explains what we need to do to take advantage of this potential. Groundbreaking and utterly fascinating, Superminds will change the way you work - both with others and with computers - for the better.

A fascinating guided tour of the complex, fast-moving, and influential world of algorithms - what they are, why they’re such powerful predictors of human behavior, and where they’re headed next. Algorithms exert an extraordinary level of influence on our everyday lives - from dating websites and financial trading floors, through to online retailing and internet searches - Google's search algorithm is now a more closely guarded commercial secret than the recipe for Coca-Cola.

The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective.

In December 2009, Google began customizing its search results for each user. Instead of giving you the most broadly popular result, Google now tries to predict what you are most likely to click on. According to MoveOn.org board president Eli Pariser, Google's change in policy is symptomatic of the most significant shift to take place on the Web in recent years: the rise of personalization.

In 10 chapters, composed of 10 "commands", Rushkoff provides cyber enthusiasts and technophobes alike with the guidelines to navigate the digital new universe. In this spirited, accessible poetics of new media, Rushkoff picks up where Marshall McLuhan left off, helping listeners to recognize programming as the new literacy of the digital age - and as a template through which to see beyond social conventions and power structures that have vexed us for centuries.

The widening gap between rich and poor means dealing with one big, uncomfortable truth: If you're not at the top, you're at the bottom. The global labor market is changing radically thanks to growth at the high end and the low. About three quarters of the jobs created in the United States since the great recession pay only a bit more than minimum wage. Still, the United States has more millionaires and billionaires than any country ever, and we continue to mint them.

Since the 1990s China has been climbing up the ladder of quality, from doing knockoffs to designing its own high-end goods. Xiaomi - its name literally means "little rice" - is landing squarely in this shift in China's economy. But the remarkable rise of Xiaomi from startup to colossus is more than a business story because mobile phones are special. The common desiderata of the global population, mobile phones offer the kind of freedom and connectedness that autocratic countries are terrified of.

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.

The Mobile Wave argues that the changes brought by mobile computing are so big and widespread that it’s impossible for us to see it all, even though we are all immersed in it. Saylor explains that the current generation of mobile smart phones and tablet computers has set the stage to become the universal computing platform for the world. In the hands of billions of people and accessible anywhere and anytime, mobile computers are poised to become an appendage of the human being and an essential tool for modern life.

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.

When most of us think about artificial intelligence, our minds go straight to cyborgs, robots, and sci-fi thrillers where machines take over the world. But the truth is that artificial intelligence is already among us. It exists in our smartphones, fitness trackers, and refrigerators that tell us when the milk will expire. In some ways the future people dreamed of at the World's Fair in the 1960s is already here. We're teaching our machines how to think like humans, and they're learning at an incredible rate.

What do Google, Snapchat, Tinder, Amazon, and Uber have in common, besides soaring market share? They're platforms - a new business model that has quietly become the only game in town. A platform, by definition, creates value by facilitating an exchange between two or more interdependent groups. So, rather than making things, they simply connect people. The advent of mobile computing and its ubiquitous connectivity have forever altered how we interact with each other. Yet, few people truly grasp the radical structural shifts of the last 10 years.

Many of the most dynamic public companies, from Alibaba to Facebook to Visa, and the most valuable start-ups, such as Airbnb and Uber, are matchmakers that connect one group of customers with another group of customers. Economists call matchmakers multisided platforms because they provide physical or virtual platforms for multiple groups to get together. Dating sites connect people with potential matches, for example, and ride-sharing apps do the same for drivers and riders.

Today, number crunching affects your life in ways you might never imagine. In this lively and groundbreaking new audiobook, economist Ian Ayres shows how today's best and brightest organizations are analyzing massive databases at lightening speed to provide greater insights into human behavior. They are the Super Crunchers.