Books like Life 3.0 by Max Tegmark

An illustrated exploration of the hidden history behind everyday inventions, showing how seemingly unrelated discoveries shaped our modern world.

An exploration of how rapidly advancing robotics and automation could reshape the economic system, workforce, and labor market.

Pedro Domingos unveils the quest for a universal learning algorithm that could extract any knowledge from data, exploring how such a machine—the Master Algorithm—might reshape business, science, and society.

Douglas Rushkoff examines the rise of ‘presentism’—a culture that never pauses, driven by instant media and digital memory—warning that our constant focus on the now can both alienate and inspire.

How deep learning-from Google Translate to driverless cars to personal cognitive assistants-is changing our lives and transforming every sector of the economy. 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. Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.

The rapid pace of change in computing demands a continuous review of our defensive strategies, and a strong ethical framework in our computer science education.This fully revised and enhanced fifth edition of Ethical and Social Issues in the Information Age examines the ethical, social, and policy challenges stemming from the convergence of computing and telecommunication, and the proliferation of mobile information-enabling devices. This accessible and engaging text surveys thought-provoking questions about the impact of these new technologies.Topics and features:Establishes a philosophical framework and analytical tools for discussing moral theories and problems in ethical relativismOffers pertinent discussions on privacy, surveillance, employee monitoring, biometrics, civil liberties, harassment, the digital divide, and discriminationExamines the new ethical, cultural and economic realities of computer social network ecosystems (NEW)Reviews issues of property rights, responsibility and accountability relating to information technology and softwareDiscusses how virtualization technology informs our ethical behavior (NEW)Introduces the new frontiers of ethics: virtual reality, artificial intelligence, and the InternetSurveys the social, moral and ethical value systems in mobile telecommunications (NEW)Explores the evolution of electronic crime, network security, and computer forensicsProvides exercises, objectives, and issues for discussion with every chapterThis comprehensive textbook incorporates the latest requirements for computer science curricula. Both students and practitioners will find the book an invaluable source of insight into computer ethics and law, network security, and computer crime investigation.

From Robocop to the Terminator to Eve 8, no image better captures our deepest fears about technology than the cyborg, the person who is both flesh and metal, brain and electronics. But philosopher and cognitive scientist Andy Clark sees it differently. Cyborgs, he writes, are not something tobe feared--we already are cyborgs. In Natural-Born Cyborgs, Clark argues that what makes humans so different from other species is our capacity to fully incorporate tools and supporting cultural practices into our existence. Technology as simple as writing on a sketchpad, as familiar as Google or a cellular phone, and aspotentially revolutionary as mind-extending neural implants--all exploit our brains' astonishingly plastic nature. Our minds are primed to seek out and incorporate non-biological resources, so that we actually think and feel through our best technologies...