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.

Do you want to master machine learning? This guide explains everything you need to know to finally fully understand machine learning and how you can use it to revolutionize your business and give your marketing plan a boost in the right direction. Each section is chockful of information about this branch of artificial intelligence that’s based on the idea that systems can identify patterns, learn from data, and make decisions with minimal human intervention.

Creating superior intelligence would be the biggest event in human history. Unfortunately, according to the world's pre-eminent AI expert, it could also be the last. In this groundbreaking book on the biggest question facing humanity, Stuart Russell explains why he has come to consider his own discipline an existential threat to his own species, and lays out how we can change course before it's too late. There is no one better placed to assess the promise and perils of the dominant technology of the future than Russell, who has spent decades at the forefront of AI research.

Machine learning is making some big changes in the world of technology. And as more programmers start to learn about it and how to use it, the possibilities are going to keep growing. When you are ready to learn more about what machine learning is all about, and how you are able to benefit from it in your own coding and programming, make sure to check out this guidebook to help you get started.

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.   

In a rarified world of scientific research, a revolution has been brewing. Its activists are not anarchists, but rather Nobel Laureates in physics and economics and pony-tailed graduates, mathematicians, and computer scientists from all over the world. They have formed an iconoclastic think-tank and their radical idea is to create a new science: complexity. They want to know how a primordial soup of simple molecules managed to turn itself into the first living cell--and what the origin of life some four billion years ago can tell us about the process of technological innovation today.

The Science of Information: From Language to Black Holes covers the exciting concepts, history, and applications of information theory in 24 challenging and eye-opening half-hour lectures taught by Professor Benjamin Schumacher of Kenyon College. A prominent physicist and award-winning educator at one of the nation’s top liberal arts colleges, Professor Schumacher is also a pioneer in the field of quantum information, which is the latest exciting development in this dynamic scientific field. 

Penguin Audio presents Life 3.0 by Max Tegmark, read by Rob Shapiro. We stand at the beginning of a new era. What was once science fiction is fast becoming reality, as AI transforms war, crime, justice, jobs and society - and even our very sense of what it means to be human. More than any other technology, AI has the potential to revolutionise our collective future - and there's nobody better situated to explore that future than Max Tegmark, an MIT professor and cofounder of the Future of Life Institute, whose work has helped mainstream research on how to keep AI beneficial.

Infinite Powers recounts how calculus tantalized and thrilled its inventors, starting with its first glimmers in ancient Greece and bringing us right up to the discovery of gravitational waves. Strogatz reveals how this form of math rose to the challenges of each age: how to determine the area of a circle with only sand and a stick; how to explain why Mars goes "backwards" sometimes; how to turn the tide in the fight against AIDS.    

"Correlation does not imply causation". This mantra has been invoked by scientists for decades and has led to a virtual prohibition on causal talk. But today, that taboo is dead. The causal revolution, sparked by Judea Pearl and his colleagues, has cut through a century of confusion and placed causality - the study of cause and effect - on a firm scientific basis. 

This is the story of our quest to understand the most mysterious object in the universe. Today we tend to picture the brain as a computer. Earlier scientists thought about it in their own technological terms: as a telephone switchboard, or a clock, or all manner of fantastic mechanical or hydraulic devices. Could the right metaphor unlock the brain's deepest secrets once and for all? Galloping through centuries of wild speculation and ingenious, sometimes macabre anatomical investigations, scientist and historian Matthew Cobb reveals how we came to our present state of knowledge. 

An award-winning Financial Times columnist exposes the threat that Big Tech poses to our democracies, our economies and ourselves. Today Google and Facebook receive 90 percent of the world's news ad spending. Amazon takes half of all ecommerce in the US. Google and Apple operating systems run on all but 1 percent of cell phones globally. And 80 percent of corporate wealth is now held by 10 percent of companies - not the GEs and Toyotas of this world but the digital titans. How did we get here? How did the tech industry get to dominate our world so completely?

Recent years have seen the introduction of concepts from the new and exciting field of complexity science that have captivated the attention of economists, sociologists, engineers, businesspeople, and many others. These include tipping points, the wisdom of crowds, six degrees of separation (or Kevin Bacon), and emergence. Complexity science can shed light on why businesses or economies succeed and fail, how epidemics spread and can be stopped, and what causes ecological systems to rebalance themselves after a disaster.

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.

Thanks to the popularity of personal genetic testing services, it's now easier than ever to get information about our own unique DNA - but who does this information really benefit? And, as genome editing and gene therapy transform the healthcare landscape, what do we gain - and what might we give up in return?