Résultats Éditeur "Tantor Audio" dans Sciences informatiques

In this absorbing and frequently contentious book, Roger Penrose puts forward his view that there are some facets of human thinking that can never be emulated by a machine. The book's central concern is what philosophers call the "mind-body problem". Penrose examines what physics and mathematics can tell us about how the mind works, what they can't, and what we need to know to understand the physical processes of consciousness.

The world's most infamous hacker offers an insider's view of the low-tech threats to high-tech security. Kevin Mitnick's exploits as a cyber-desperado and fugitive form one of the most exhaustive FBI manhunts in history and have spawned dozens of articles, books, films, and documentaries. Since his release from federal prison, in 1998, Mitnick has turned his life around and established himself as one of the most sought-after computer security experts worldwide.

What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? Drawing on more than a decade of research, award-winning scholar Kate Crawford reveals how AI is a technology of extraction: from the minerals drawn from the earth, to the labor pulled from low-wage information workers, to the data taken from every action and expression. This book reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequity.  

Futurists insist that AI will soon eclipse the capacities of the most gifted human mind. What hope do we have against superintelligent machines? But we aren't really on the path to developing intelligent machines. In fact, we don't even know where that path might be. Erik Larson takes us on a tour of the landscape of AI to show how far we are from superintelligence and what it would take to get there.  

Behind the familiar surfaces of the telephone, radio, and television lies a sophisticated and intriguing body of knowledge known as information theory. This is the theory that has permitted the rapid development of all sorts of communication, from color television to the clear transmission of photographs from the vicinity of Jupiter. Even more revolutionary progress is expected in the future.  

The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.

In Regenesis, George Church and science writer Ed Regis explore the possibilities of the emerging field of synthetic biology. Synthetic biology, in which living organisms are selectively altered by modifying substantial portions of their genomes, allows for the creation of entirely new species of organisms. These technologies - far from the out-of-control nightmare depicted in science fiction - have the power to improve human and animal health, increase our intelligence, enhance our memory, and even extend our life span. 

In The Patient Will See You Now, Eric Topol, one of the nation's top physicians, examines what he calls medicine's "Gutenberg moment". Much as the printing press liberated knowledge from the control of an elite class, new technology is poised to democratize medicine. In this new era, patients will control their data and be emancipated from a paternalistic medical regime in which "the doctor knows best."

In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally - hiring, driving, paying bills, even choosing romantic partners - that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology.

How does a neural network become a brain? While neurobiologists investigate how nature accomplishes this feat, computer scientists interested in AI strive to achieve this through technology. The Self-Assembling Brain tells the stories of both fields, exploring the historical and modern approaches taken by the scientists pursuing answers to the quandary: What information is necessary to make an intelligent neural network? As Peter Robin Hiesinger argues, "the information problem" underlies both fields. 

AI is one of the hottest investment trends on Wall Street. AI Investing For Dummies gives you all the must-know details on how artificial intelligence can benefit investors. You'll learn how powerful AI can be in helping you make better decisions, identify hidden opportunities, and build wealth in stocks, bonds, commodities, and real estate.

In this visionary book, Leslie Valiant argues that understanding the nature of our own educability is crucial to safeguarding our future. After breaking down how we process information to learn and apply knowledge, and drawing comparisons with other animals and AI systems, he explains why education should be humankind's central preoccupation. Will the unique capability that has been so foundational to our achievements and civilization continue to drive our progress, or will we fall victim to our vulnerabilities?

Literary Theory for Robots reveals the hidden history of modern machine intelligence, taking listeners on a spellbinding journey from medieval Arabic philosophy to visions of a universal language, past Hollywood fiction factories, and missile defense systems trained on Russian folktales. In this provocative reflection on the shared pasts of literature and computer science, former Microsoft engineer and professor of comparative literature Dennis Yi Tenen provides crucial context for recent developments in AI, which holds important lessons for the future of humans living with smart technology.

In 2010, scientists led by J. Craig Venter became the first to successfully create "synthetic life" - putting humankind at the threshold of the most important and exciting phase of biological research, one that will enable us to actually write the genetic code for designing new species to help us adapt and evolve for long-term survival. The science of synthetic genomics will have a profound impact on human existence, including chemical and energy generation, health, clean water and food production, environmental control, and possibly even our evolution.

Join journalist Barry Werth as he pulls back the curtain on Vertex, a start-up pharmaceutical company, and witness firsthand the intense drama being played out in the pioneering and hugely profitable field of drug research. Founded by Joshua Boger, a dynamic Harvard- and Merck-trained scientific whiz kid, Vertex is dedicated to designing - atom by atom - both a new life-saving immunosuppressant drug and a drug to combat the virus that causes AIDS.

There is a huge effort underway in industry and universities to develop the next generation of more intelligent, autonomous, mobile robots. Accompanying these arrivals has been a steady stream of inflammatory articles in the media raising concerns over the impending specter of super-intelligent robots, along with stories about how most jobs will soon be lost to robots.

In the fall of 1980, Genentech, Inc., a little-known California genetic engineering company, became the overnight darling of Wall Street, raising over $38 million in its initial public stock offering. Lacking marketed products or substantial profit, the firm nonetheless saw its share price escalate from $35 to $89 in the first few minutes of trading. Coming at a time of economic recession and declining technological competitiveness in the United States, the event ignited a period of speculative frenzy over biotechnology.

In Once Upon an Algorithm, Martin Erwig explains computation as something that takes place beyond electronic computers, and computer science as the study of systematic problem solving. Erwig points out that many daily activities involve problem solving. Getting up in the morning, for example: You get up, take a shower, get dressed, eat breakfast. This simple daily routine solves a recurring problem through a series of well-defined steps. In computer science, such a routine is called an algorithm. 

In Frankenstein's Cat, journalist Emily Anthes takes us from petri dish to pet store as she explores how biotechnology is shaping the future of our furry and feathered friends. Through her encounters with scientists, conservationists, ethicists, and entrepreneurs, Anthes reveals that while some of our interventions may be trivial (behold: the GloFish), others could improve the lives of many species - including our own. So what does biotechnology really mean for the world's wild things? And what do our brave new beasts tell us about ourselves?

Until very recently, if you were to ask most doctors, they would tell you there were only two kinds of medicine: the quack kind, and the evidence-based kind. The former is baseless, and the latter based on the best information human effort could buy. Well, Eric Topol isn't most doctors, and he suggests you entertain the notion of a third kind of medicine, one that will make the evidence-based state-of-the-art stuff look scarcely better than an alchemist trying to animate a homunculus in a jar.