As man-made machines become more powerful and smarter, will their intelligence eventually exceed our own? To accurately predict how the relationship between human and artificial intelligence will change in the future, it is essential to understand the origin and limits of human intelligence. In Birth of Intelligence, distinguished neuroscientist Daeyeol Lee tackles these pressing fundamental issues. Lee reveals how intelligence is the ability of a biological agent to solve complex decision-making problems in diverse and unpredictable environments. Furthermore, understanding how intelligent behavior emerges from interaction among multiple learning systems will provide valuable insights into the ultimate nature of human intelligence.

What is intelligence? How did it begin and evolve to human intelligence? Does a high level of biological intelligence require a complex brain? Can man-made machines be truly intelligent? Is AI fundamentally different from human intelligence? In Birth of Intelligence, distinguished neuroscientist Daeyeol Lee tackles these pressing fundamental issues. To better prepare for future society and its technology, including how the use of AI will impact our lives, it is essential to understand the biological root and limits of human intelligence. After systematically reviewing biological and computational underpinnings of decision making and intelligent behaviors, Birth of Intelligence proposes that true intelligence requires life.

This book is a history of artificial intelligence, that audacious effort to duplicate in an artifact what we consider to be our most important property—our intelligence. It is an invitation for anybody with an interest in the future of the human race to participate in the inquiry.

With the idea of “deep learning” having now become the key to this new generation of solutions, major technological players in the business intelligence sector have taken an interest in the application of Big Data. In this book, the author explores the recent technological advances associated with digitized data flows, which have recently opened up new horizons for AI. The reader will gain insight into some of the areas of application of Big Data in AI, including robotics, home automation, health, security, image recognition and natural language processing.

Spatial Intelligence examines public and professional conceptions of the relationships between thinking about spatial attributes and active engagement in spatially related constructions and designs. Even though children’s and adolescents’ spatial propensities in constructive activities parallel the skills needed by professionals in both established and emerging fields, spatial education is often missing from K–12 curricula and is easily impeded by teachers, parents, or other individuals who do not provide contexts in formalized settings, such as schools, to nurture its potential. This book bridges the gap by linking the natural spatial inclinations, interests, and proclivities of individuals from a variety of cultures with professional training and expertise in engineering, architecture, science, and mathematics. Educators will be better able to achieve the skills and awareness necessary to provide children and young adults with the vital opportunities inherent in spatial education.

Cutting edge scientific research has shown that exposure to the right kind of environment during the first years of life actually affects the physical structure of a child's brain, vastly increasing the number of neuron branches—the "magic trees of the mind"—that help us to learn, think, and remember. At each stage of development, the brain's ability to gain new skills and process information is refined. As a leading researcher at the University of California at Berkeley, Marion Diamond has been a pioneer in this field of research. Now, Diamond and award-winning science writer Janet Hopson present a comprehensive enrichment program designed to help parents prepare their children for a lifetime of learning.

Why a new approach is needed in the quest for general artificial intelligence. Since the inception of artificial intelligence, we have been warned about the imminent arrival of computational systems that can replicate human thought processes. Before we know it, computers will become so intelligent that humans will be lucky to kept as pets. And yet, although artificial intelligence has become increasingly sophisticated—with such achievements as driverless cars and humanless chess-playing—computer science has not yet created general artificial intelligence. In Algorithms Are Not Enough, Herbert Roitblat explains how artificial general intelligence may be possible and why a robopocalypse is neither imminent, nor likely. Existing artificial intelligence, Roitblat shows, has been limited to solving path problems, in which the entire problem consists of navigating a path of choices—finding specific solutions to well-structured problems. Human problem-solving, on the other hand, includes problems that consist of ill-structured situations, including the design of problem-solving paths themselves. These are insight problems, and insight is an essential part of intelligence that has not been addressed by computer science. Roitblat draws on cognitive science, including psychology, philosophy, and history, to identify the essential features of intelligence needed to achieve general artificial intelligence. Roitblat describes current computational approaches to intelligence, including the Turing Test, machine learning, and neural networks. He identifies building blocks of natural intelligence, including perception, analogy, ambiguity, common sense, and creativity. General intelligence can create new representations to solve new problems, but current computational intelligence cannot. The human brain, like the computer, uses algorithms; but general intelligence, he argues, is more than algorithmic processes.

Signals Intelligence, or SIGINT, is the interception and evaluation of coded enemy messages. From Enigma to Ultra, Purple to Lorenz, Room 40 to Bletchley, SIGINT has been instrumental in both victory and defeat during the First and Second World War. In the First World War, a vast network of signals rapidly expanded across the globe, spawning a new breed of spies and intelligence operatives to code, de-code and analyse thousands of messages. As a result, signallers and cryptographers in the Admiralty's famous Room 40 paved the way for the code breakers of Bletchley Park in the Second World War. In the ensuing war years the world battled against a web of signals intelligence that gave birth to Enigma and Ultra, and saw agents from Britain, France, Germany, Russia, America and Japan race to outwit each other through infinitely complex codes. For the first time, Peter Matthews reveals the secret history of global signals intelligence during the world wars through original interviews with German interceptors, British code breakers, and US and Russian cryptographers. " SIGINT is a fascinating account of what Allied investigators learned postwar about the Nazi equivalent of Bletchley Park. Turns out, 60,000 crptographers, analysts and linguists achieved considerable success in solving intercepted traffic, and even broke the Swiss Enigma! Based on recently declassifed NSA document, this is a great contribution to the literature." - The St Ermin's Hotel Intelligence Book of the Year Award 2014

This sweeping history of the development of professional, institutionalized intelligence examines the implications of the fall of the state monopoly on espionage today and beyond. During the Cold War, only the alliances clustered around the two superpowers maintained viable intelligence endeavors, whereas a century ago, many states could aspire to be competitive at these dark arts. Today, larger states have lost their monopoly on intelligence skills and capabilities as technological and sociopolitical changes have made it possible for private organizations and even individuals to unearth secrets and influence global events. Historian Michael Warner addresses the birth of professional intelligence in Europe at the beginning of the twentieth century and the subsequent rise of US intelligence during the Cold War. He brings this history up to the present day as intelligence agencies used the struggle against terrorism and the digital revolution to improve capabilities in the 2000s. Throughout, the book examines how states and other entities use intelligence to create, exploit, and protect secret advantages against others, and emphasizes how technological advancement and ideological competition drive intelligence, improving its techniques and creating a need for intelligence and counterintelligence activities to serve and protect policymakers and commanders. The world changes intelligence and intelligence changes the world. This sweeping history of espionage and intelligence will be a welcomed by practitioners, students, and scholars of security studies, international affairs, and intelligence, as well as general audiences interested in the evolution of espionage and technology.