Showing titles in Computer Science

Artificial intelligence is revolutionizing the modern world. It is ubiquitous-in our homes and offices, in the present and most certainly in the future. Today, we encounter AI as our distant ancestors once encountered fire. If we manage AI well, it will become a force for good, lighting the way to many transformative inventions. If we deploy it thoughtlessly, it will advance beyond our control. As AI policy experts Ben Buchanan and Andrew Imbrie show in The New Fire, few choices are more urgent—or more fascinating—than how we harness this technology and for what purpose.

From quantum computing to VR training, and from 3D-printing to brain-computer interface, new technologies are reshaping business on the factory floor and in the C-suite. What should you and your company be doing now to take advantage of the new opportunities these technologies are creating - and avoid falling victim to disruption? The Year in Tech, 2022 will help you understand what the latest and most important tech innovations mean for your organization and how you can use them to compete and win in today's turbulent business environment.

Brought to you by Penguin. A bold, optimistic exploration of the relationship between robots and humans based on our history with animals, from a renowned MIT researcher The robots are here. They make our cars, they deliver fast food, they mine the sea floor. And in the near-future their...

Penguin presents the audiobook edition of Shaping the Future of the Fourth Industrial Revolutionby Klaus Schwab and Nicholas Davis, read by Nicholas Guy Smith. The Fourth Industrial Revolution is changing everything - from the way we relate to each other, to the work we do, the way our economies...

From the latest applications of AI to blockchain-enabled business models to 5G networks, the most important technological innovations of the past year are reshaping the present and future of business. What should you and your company be doing now to take advantage of the new opportunities they are creating? The Year in Tech, 2021 will help you understand today's most essential thinking on these topics, what the latest tech innovations mean for your organization, and how you can use them to compete and win in the new landscape of business. 

This book presents a groundbreaking philosophy for the AI era, proposing that as AI takes over most jobs, the mission of humanity and the meaning of life will be found in the pursuit of innovation and heritage.

Shannon Vallor makes a wide-ranging, prophetic, and philosophical case for what AI could be: a way to reclaim our human potential for moral and intellectual growth, rather than lose ourselves in mirrors of the past. Rejecting prophecies of doom, she encourages us to pursue technology that helps us recover our sense of the possible, and with it the confidence and courage to repair a broken world. Vallor calls us to rethink what AI is and can be, and what we want to be with it.

In Part I, this book develops the Cognitive Amplifier Loop, which allows humans to use AI to build on their cognitive and emotional strengths and manage their limitations. Kosslyn discusses ways to employ this loop to offload tasks to AI and to utilize it to train us effectively and efficiently, as well as how to use it to both learn and engage in critical thinking and creative problem-solving—and manage cognitive and emotional constraints. Part II establishes how to draw on the Cognitive Amplifier Loop to help us improve our human relationships.

Il tema dell'intelligenza artificiale sta dominando ormai da alcuni anni il dibattito pubblico. Questo perché, anche se abbiamo appena iniziato ad avvertire l'impatto che l'IA avrà sulle nostre vite, stiamo diventando sempre più consapevoli che i suoi effetti saranno profondi, così come sarà profondo il modo in cui essa trasformerà il nostro rapporto con la realtà, la conoscenza e la verità. Le sue potenzialità aumentano a un ritmo vertiginoso, e i progressi, come i benefici che sapremo trarne, appaiono straordinari. Tuttavia, non mancano i segnali d'allarme.

The promise of artificial intelligence is automated decision-making at scale, but that means AI also automates risk at scale. In Ethical Machines, Reid Blackman gives you all you need to understand AI ethics as a risk management challenge. He'll help you build, procure, and deploy AI in a way that's not only ethical but also safe in terms of your organization's reputation, regulatory compliance, and legal standing—and do it at scale. And don't worry—the book's purpose is to get work done, not to ponder deep and existential questions about ethics and technology.  

Once, we humans could only observe evolution. Suddenly, we had conquered it. And yet, in Life as We Made It, evolutionary biologist Beth Shapiro argues that - despite how amazing our new technologies are - our ability to alter the course of evolution isn’t new. What is new is that where once we shaped evolution through brute force, we can now do it as artisans. That power comes not a moment too soon. If we are going to survive in the next few centuries, we must revise the book of life. 

This audiobook, Tomorrow's Medicine, looks at some of the more fascinating areas where technology that could transform health is being developed, including cybernetics, regenerative medicine, nanotechnology, and genetically tailored treatments. Although many of these advances may not be ready to treat humans for many years, some of them may someday profoundly change - and extend - our lives. As exciting as the possibilities are to extend both the length and quality of life, immortality - or at least agelessness - may be forever out of our reach.

Info We Trust celebrates data storytelling, as explained by one of the field's most talented creators. Both engineer and artist, R. J. Andrews draws on disciplines from across the human experience to show how to create new ways of seeing the world. And most importantly, to build powerful data-driven information that is worthy of trust.

A penetrating guide to artificial intelligence: what it is, what it does, and how it will change our lives. At a breathtaking pace, artificial intelligence is getting better and faster at making complex decisions. AI can already identify malignant tumors on CT scans, give legal advice, out-bluff the best poker players in the world, and, with ever-increasing skill, drive our cars.

We live in an incredible period in history. The computer revolution may be even more life-changing than the Industrial Revolution. We can do things with computers that could never be done before, and computers can do things for us that could never be done before. But our love of computers should not cloud our thinking about their limitations. The AI Delusion explains why we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, and that black boxes should be trusted. 

From the Siberian permafrost to balmy California, scientists across the globe are working to resurrect all kinds of extinct animals, from ones that just left us to those that have been gone for many thousands of years. Their tools in this hunt are both fossils and cutting-edge genetic technologies. Some of these scientists are driven by sheer curiosity; others view the lost species as a powerful weapon in the fight to preserve rapidly changing ecosystems. It seems certain that these animals will walk the earth again, but what world will that give us? And is any of this a good idea?

The history of computing could be told as the story of hardware and software or the story of the Internet or the story of "smart" handheld devices, with subplots involving IBM, Microsoft, Apple, Facebook, and Twitter. In this concise and accessible account of the invention and development of digital technology, computer historian Paul Ceruzzi offers a broader and more useful perspective. He identifies four major threads that run throughout all of computing's technological development.

In this book, Hod Lipson and Melba Kurman offer listeners insight into the risks and benefits of driverless cars, and a lucid and engaging explanation of the enabling technology. Recent advances in software and robotics are toppling long-standing technological barriers that for decades have confined self-driving cars to the realm of fantasy. A new kind of artificial intelligence software called deep learning gives cars rapid and accurate visual perception. Human drivers can relax and take their eyes off the road.

In Only Humans Need Apply, Thomas Hayes Davenport and Julia Kirby reframe the conversation about automation, arguing that the future of increased productivity and business success isn't either human or machine. It's both. The key is augmentation, utilizing technology to help humans work better, smarter, and faster. Instead of viewing these machines as competitive interlopers, we can see them as partners and collaborators in creative problem solving as we move into the next era. 

In Artificial You, Susan Schneider says that it is inevitable that AI will take intelligence in new directions but urges that it is up to us to carve out a sensible path forward. As AI technology turns inward, reshaping the brain, as well as outward, potentially creating machine minds, it is crucial to beware. Homo sapiens, as mind designers, will be playing with "tools" they do not understand how to use: the self, the mind, and consciousness.