Ergebnis Anbieter "Penguin Audio" in Computer & Technologie

At Amazon, "Day One" is code for inventing like a startup, with little regard for legacy. Day Two is, in Jeff Bezos' own words, "stasis, followed by irrelevance, followed by excruciating, painful decline, followed by death." Most companies today are set up for Day Two. They build advantages and defend them fiercely, rather than invent the future. But Amazon and fellow tech titans Facebook, Google, and Microsoft are operating in Day One: They prioritize reinvention over tradition and collaboration over ownership.

A leading behavioral economist shows how businesses can improve consumer thinking and decision-making on screens. The typical American office worker now spends the majority of his or her waking hours staring at a screen. In the 21st century, every business is a digital business, which is why it's so critical to understand how we think and behave online. Acclaimed behavioral economist Shlomo Benartzi reveals a toolkit of interventions for the digital age. Using provocative case-studies and engaging exercises, Benartzi shows how businesses can update their nudges to help consumers make better decisions on screens.

The People Vs Tech is an enthralling account of how our fragile political system is being threatened by the digital revolution. Bartlett explains that by upholding six key pillars of democracy, we can save it before it is too late. We need to become active citizens; uphold a shared democratic culture; protect free elections; promote equality; safeguard competitive and civic freedoms; and trust in a sovereign authority.

As technology races ahead, what will people do better than computers? It’s easy to imagine a nightmare scenario in which computers simply take over most of the tasks that people now get paid to do. The best-selling author of Talent Is Overrated explains how the skills the economy values are changing in historic ways. The abilities that will prove most essential to our success are no longer the technical, classroom-taught left-brain skills that economic advances have demanded from workers in the past.

The bicycle is a vestige of the Victorian era, seemingly out of pace with our age of smartphones and ridesharing apps and driverless cars. Yet we live on a bicycle planet. Across the world, more people travel by bicycle than by any other form of transportation. Almost anyone can learn to ride a bike—and nearly everyone does. In Two Wheels Good, writer and critic Jody Rosen reshapes our understanding of this ubiquitous machine, an ever-present force in humanity's life and dreamlife, and a flashpoint in culture wars for more for than 200 years.

John Maeda is one of the world's preeminent thinkers on technology and design, and in How to Speak Machine, he offers a set of simple laws that govern not only the computers of today but the unimaginable machines of the future. Machines are already more powerful than we can comprehend and getting more powerful at an exponential pace. Once set in motion, algorithms never tire. And when a program's size, speed and endlessness combine with its ability to learn and transform itself, the outcome can be unpredictable and dangerous.

AI-powered programmes like ChatGPT have become valuable tools in the financial market, and proven to be incredibly beneficial to investors looking to identify investment opportunities and risks that might be overlooked by humans. Yet there is a darker side to these products, which we are only just beginning to fully understand. In this book, Rickards shows how models like ChatGPT work, and how they can be leveraged to capitalize on markets and avoid losses by providing accurate, up-to-date financial insights. Rickards’ guide is essential for anyone looking to navigate this new climate.

During one crazy week in January 2021, a motley crew of retail traders on Reddit's r/wallstreetbets forum had seemingly done the impossible - they had brought some of the biggest, richest players on Wall Street to their knees. Their weapon was GameStop, a failing retailer whose shares briefly became the most-traded security on the planet and the subject of intense media coverage. The Revolution That Wasn't is the riveting story of how the meme stock squeeze unfolded, and the real architects (and winners) of the GameStop rally.

In 1916, Arthur Eddington, a war-weary British astronomer, opened a letter written by an obscure German professor named Einstein. The neatly printed equations on the scrap of paper outlined his world-changing theory of general relativity. Until then Einstein's masterpiece of time and space had been trapped behind the physical and ideological lines of battle, unknown. Eddington realised the importance of the letter - perhaps Einstein's esoteric theory could not only change the future of science but also restore the world of cooperative international science in a time of brutal war.

In Defying Reality, David M. Ewalt traces the story of virtual reality from ancient amphitheaters to Cold War military laboratories, through decades of hype and failure, to a 19-year-old video game aficionado who made the impossible possible. Ewalt looks at how businesses are already using this tech to revolutionize the world around us, and what we can expect in the future. Ewalt offers a unique perspective on VR. With firsthand accounts and on-the-ground reporting, Defying Reality shows how VR will change our work, our play, and the way we relate to one another.

Two leading data scientists offer an up-close and user-friendly look at artificial intelligence: what it is, how it works, where it came from and how to harness its power for a better world. Dozens of times per day, we all interact with intelligent machines that are constantly learning from the wealth of data now available to them. These machines, from smartphones to talking robots to self-driving cars, are remaking the world in the 21st century in the same way that the Industrial Revolution remade the world in the 19th.

Penguin presents the unabridged, downloadable audiobook edition of How We Got to Now by Steven Johnson, read by George Newbern. From Steven Johnson, the best-selling author of Where Good Ideas Come From, comes How We Got to Now, which tracks the surprising inspirations and unexpected consequences of the most influential innovations.

‘It didn’t matter that they were now three miles beyond their target site, that communications were dropping out and that they were running low on fuel. All that mattered to Neil as he searched for a safe spot to land was that boulders littered the surface below. “Thirty seconds,” called mission control. In truth, the flight controllers were now no more than spectators, just like everybody else. No more needed to be said. It was down to Armstrong

Peter has motor neurone disease, a condition universally considered by doctors to be terminal. It will destroy his nerve cells, and he is told that within an average of two years, it will take his life, too. But, face to face with death, he decides there is another way. Using his background in science and technology, he navigates a new path, one that will enable him not just to survive but to thrive.

One of the most peculiar and possibly unique features of humans is the vast amount of information we carry outside our biological selves. But in our rush to build the infrastructure for the 20 quintillion bits we create every day, we’ve failed to ask exactly why we’re expending ever-increasing amounts of energy, resources, and human effort to maintain all this data. Drawing on deep ideas and frontier thinking in evolutionary biology, computer science, information theory, and astrobiology, Caleb Scharf argues that information is, in a very real sense, alive - an aggregate lifeform.

In the past two decades, GMOs have come to dominate the American diet. Advocates hail them as the future of food, an enhanced method of crop breeding that can help feed an ever-increasing global population and adapt to a rapidly changing environment. Critics, meanwhile, call for their banishment, insisting GMOs were designed by overeager scientists and greedy corporations to bolster an industrial food system that forces us to rely on cheap, unhealthy, processed food so they can turn an easy profit.

Most kids get their first smartphone at the same time that they're experiencing major developmental changes. Making mistakes has always been a part of growing up, but how do parents help their kids navigate childhood and adolescence at a time when social media has the potential to magnify the consequences of those mistakes? Rather than spend all their time worrying about the worst-case scenario, listeners get a bigger-picture understanding of their kids' digital landscape.

The titans of Silicon Valley are racing to build a single world-changing piece of software. They know that whoever gets there first will revolutionise our relationship with technology - and make billions of dollars in the process. They call it voice computing. Computers that can speak and think just as clearly as humans may seem like the stuff of science fiction, but they are mere years away from becoming a reality. In Talk to Me, veteran tech journalist James Vlahos meets the researchers at Google, Amazon and Apple who are leading the way to a voice computing revolution.

We are entering an empathy crisis. Most of our communication is conveyed through nonverbal cues - facial expressions, tone of voice, body language - nuances that are completely lost when we interact through our smartphones and other technology. The result is a digital universe that's emotion-blind - a society lacking in empathy. Rana el Kalioubi discovered this when she left Cairo, a newly married, Muslim woman, to take up her place at Cambridge University to study computer science.

John Maeda is one of the world's preeminent interdisciplinary thinkers on technology and design. In How to Speak Machine, he offers a set of simple laws that govern not only the computers of today, but the unimaginable machines of the future. Technology is already more powerful than we can comprehend, and getting more powerful at an exponential pace. Once set in motion, algorithms never tire.