This audiobook is the conclusive history of the field of artificial intelligence (AI), following its history from the fantasies of early pioneers to the more effective work of the present AI engineers. The audiobook incorporates numerous outlines and straightforward depictions of AI programs that will enable the easygoing per user to increase a comprehension of how these and other AI frameworks really work. The work was written especially for beginners. The topic is treated with simplicity and it is easy to read and understand.

Plenty of experts argue that anyone who wants to develop a skill, play an instrument, or lead their field should start early, focus intensely, and rack up as many hours of deliberate practice as possible. But a closer look at research on the world’s top performers shows that early specialization is the exception, not the rule. David Epstein examined the world’s most successful athletes, artists, musicians, inventors, forecasters and scientists. He discovered that in most fields—especially those that are complex and unpredictable—generalists, not specialists, are primed to excel.

In this irreverent and illuminating audiobook, acclaimed writer and scientist Leonard Mlodinow shows us how randomness, chance, and probability reveal a tremendous amount about our daily lives, and how we misunderstand the significance of everything from a casual conversation to a major financial setback. As a result, successes and failures in life are often attributed to clear and obvious causes, when in actuality they are more profoundly influenced by chance.

Nobody wants to fail. But in highly complex organizations, success can happen only when we confront our mistakes, learn from our own version of a black box, and create a climate where it's safe to fail. We all have to endure failure from time to time, whether it's underperforming at a job interview, flunking an exam, or losing a pickup basketball game. But for people working in safety-critical industries, getting it wrong can have deadly consequences.

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.

In The Idea Factory, New York Times Magazine writer Jon Gertner reveals how Bell Labs served as an incubator for scientific innovation from the 1920s through the1980s. In its heyday, Bell Labs boasted nearly 15,000 employees, 1200 of whom held PhDs and 13 of whom won Nobel Prizes. Thriving in a work environment that embraced new ideas, Bell Labs scientists introduced concepts that still propel many of today’s most exciting technologies.

Thomas Edison was born into a hard-working but attentive family. He struggled in school and became deaf at an early age. Born on February 11, 1847, Edison would become, arguably, the best-known American inventor of all time. His invention of the light bulb was one of more than 1,000 patents he held during his lifetime. Others included the phonograph, the electrical grid, and motion pictures. His work changed the way we see and hear the world around us.

It is indisputable that human intelligence makes our species stand out from other lives on Earth. Our brains, much more than our muscles, explain our successes in development, as well as our sometimes devastating effects on the planet. Our modern brain is an evolutionary feat in development for over 520 million years and is the key to everything that makes us the entirety of humanity. But while the human brain is remarkable, what happens if people stop being intelligent?

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.

Bayes' rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new information, we get a new and improved belief. To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok. Sharon Bertsch McGrayne here explores this controversial theorem and the human obsessions surrounding it.

Planning the invasion of Normandy, the Allies knew that decoding the communications of the Nazi high command was imperative for its success. But standing in their way was an encryption machine they called Tunny (British English for “tuna”), which was vastly more difficult to crack than the infamous Enigma cipher.

Human history has seen many surprising and profound turning points. The ways that humans learned to use raw materials to create activity and resources set the stage for the most compelling and life-altering phase of the modern era, the Industrial Revolution. Born during this time on different continents but connected by similar interests, two men indelibly marked their generation and those that followed with their genius and foresight. This audiobook covers the war of currents and the individual lives of Tesla and Edison.

The smartphones in our pockets and computers like brains. The vagaries of game theory and evolutionary biology. Nuclear weapons and self-replicating spacecrafts. All bear the fingerprints of one remarkable, yet largely overlooked, man: John von Neumann.

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).

Artificial Intelligence is likely to greatly increase our aggregate wealth, but it will also upend our labor markets, reshuffle our social order, and strain our private and public institutions. Eventually it may alter how we see our place in the universe, as machines pursue goals independent of their creators and outperform us in domains previously believed to be the sole dominion of humans.

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.

Alan Mathison Turing. Mathematician, philosopher, codebreaker, a founder of computer science, and the father of Artificial Intelligence, Turing was one of the most original thinkers of the last century - and the man whose work helped create the computer-driven world we now inhabit. But he was also an enigmatic figure, deeply reticent yet also strikingly naive. Turing's openness about his homosexuality at a time when it was an imprisonable offense ultimately led to his untimely death at the age of only 41.

Planning the invasion of Normandy, the Allies knew that decoding the communications of the Nazi high command was imperative for its success. But standing in their way was an encryption machine they called Tunny (British English for “tuna”), which was vastly more difficult to crack than the infamous Enigma cipher.

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.

Bayes' rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new information, we get a new and improved belief. To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok. Sharon Bertsch McGrayne here explores this controversial theorem and the human obsessions surrounding it.

Today, not only is everything digital getting faster, cheaper, and smaller at an exponential rate, we also have the Internet. When these two revolutions - one in technology and the other in communications - joined, an explosive force was unleashed that changed the very nature of innovation. And with any change, we have seen many strategic blunders and extraordinary learning curves along the way.

In The Idea Factory, New York Times Magazine writer Jon Gertner reveals how Bell Labs served as an incubator for scientific innovation from the 1920s through the1980s. In its heyday, Bell Labs boasted nearly 15,000 employees, 1200 of whom held PhDs and 13 of whom won Nobel Prizes. Thriving in a work environment that embraced new ideas, Bell Labs scientists introduced concepts that still propel many of today’s most exciting technologies.

Human history has seen many surprising and profound turning points. The ways that humans learned to use raw materials to create activity and resources set the stage for the most compelling and life-altering phase of the modern era, the Industrial Revolution. Born during this time on different continents but connected by similar interests, two men indelibly marked their generation and those that followed with their genius and foresight. This audiobook covers the war of currents and the individual lives of Tesla and Edison.

Analogies are far more complex than their SAT stereotype and lie at the very core of human cognition and creativity. Once we become aware of this, we start seeing them everywhere - in ads, apps, political debates, legal arguments, logos, and euphemisms, to name just a few. At their very best, analogies inspire new ways of thinking, enable invention, and motivate people to action. Unfortunately, not every analogy that rings true is true. That's why, at their worst, analogies can deceive, manipulate, or mislead us into disaster.

When Hitler came to power in the 1930s, Germany had led the world in science, mathematics, and technology for nearly four decades. But while the fact that Hitler swiftly pressed Germany's scientific prowess into the service of a brutal, racist, xenophobic ideology is well known, few realize that German scientists had knowingly broken international agreements and basic codes of morality to fashion deadly weapons even before World War I.

Lee Hood did that rarest of things. He enabled scientists to see things they couldn't see before and do things they hadn't dreamed of doing. Scientists can now sequence complete human genomes in a day, setting in motion a revolution that is personalizing medicine. Hood, a son of the American West, was an unlikely candidate to transform biology. But with ferocious drive, he led a team at Caltech that developed the automated DNA sequencer, the tool that paved the way for the Human Genome Project.

A self-professed "comprehensive anticipatory design scientist", the inventor Buckminster Fuller (1895-1983) was undoubtedly a visionary. Fuller's creations often bordered on the realm of science fiction, ranging from the freestanding geodesic dome to the three-wheel Dymaxion car to a bathroom requiring neither plumbing nor sewage. Yet in spite of his brilliant mind and lifelong devotion to serving mankind, Fuller's expansive ideas were often dismissed, and have faded from public memory since his death.

Through narratives and case studies spanning the brilliant history of engineering, Madhavan shows how the concepts of prototyping, efficiency, reliability, standards, optimization, and feedback are put to use in fields as diverse as transportation, retail, health care, and entertainment. Equal parts personal, practical, and profound, Applied Minds charts a path to a future where we apply strategies borrowed from engineering to create useful and inspired solutions to our most pressing challenges.

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.

Barely 50 years ago a computer was a gargantuan, vastly expensive thing that only a handful of scientists had ever seen. The world's brightest engineers were stymied in their quest to make these machines small and affordable until the solution finally came from two ingenious young Americans. Jack Kilby and Robert Noyce hit upon the stunning discovery that would make possible the silicon microchip, a work that would ultimately earn Kilby the Nobel Prize for physics in 2000.