The Information Age has dawned at the same time the global political system is in transition. High technology performance and economic productivity are converging across the major developed regions of North America, East Asia, and Europe. If U.S. economic, military, and political leadership is to continue, it must depend more on flexible adaptation to the new technical and organizational realities and less on technological dominance. The heart of this adaptation lies in the evolution of a national technology policy that emphasizes market forces and the exploitation of network linkages within and among commercial and military organizations.

Looking towards the future can be daunting, but with Future Hackers, the sequel to The Future Is Now, you can prepare for the exciting changes that lie ahead. From technological advancements to cultural shifts, the coming years will bring unprecedented transformations that will shape our lives in ways we can't even imagine. This book is your essential guide to understanding these changes and adapting to them with optimism and confidence. With expert insights into the latest trends in work, leadership and technology, Future Hackers is your indispensable tool for thriving in a rapidly changing world. Whether you're a business leader, a student, or just someone who wants to stay ahead of the curve, this book will help you navigate the road to 2030 and beyond.

The decolonization of education necessarily involves a critique of dominant ideologies, pedagogies, and the current organization of education, to be replaced by what, in 1970, Paulo Freire called "the pedagogy of the oppressed." Critical Theory and Pedagogy presents a theory for decolonizing, democratizing, and reconstructing education in order to meet the challenges of a global and technological society. A democratic and intersectional reconstruction of education must build on and synthesize perspectives of classical philosophy of education, Deweyean radical pragmatism, Freirean critical pedagogy, poststructuralism, and critical theories of gender, race, class, sexuality, ethnicity, disability, indigeneity, and more, while criticizing obsolete idealist, elitist, and antidemocratic aspects of traditional concepts of education. Articulating a metatheory for the philosophy of education, while providing a historical genealogy and grounding of key themes, Critical Theory and Pedagogy argues for a democratic reconstruction of education that overcomes traditional, limiting, and oppressive aspects—what Marx and Engels saw as "the ruling ideas of the ruling class" and bell hooks reminds us includes the colonization of subjects into White, Patriarchal Capitalism—and embraces alternative pedagogies and principles suitable for the present age. This project includes developing multiple critical literacies as a response to digital technologies and developing critical pedagogies to meet the challenges of globalization, multiculturalism, and institutionalized racism, classism, and sexism, while promoting radical democratization to counter the trend toward the imposition of a neo-liberal business model of education.

The decolonization of education necessarily involves a critique of dominant ideologies, pedagogies, and the current organization of education, to be replaced by what, in 1970, Paulo Freire called "the pedagogy of the oppressed." Critical Theory and Pedagogy presents a theory for decolonizing, democratizing, and reconstructing education in order to meet the challenges of a global and technological society. A democratic and intersectional reconstruction of education must build on and synthesize perspectives of classical philosophy of education, Deweyean radical pragmatism, Freirean critical pedagogy, poststructuralism, and critical theories of gender, race, class, sexuality, ethnicity, disability, indigeneity, and more, while criticizing obsolete idealist, elitist, and antidemocratic aspects of traditional concepts of education. Articulating a metatheory for the philosophy of education, while providing a historical genealogy and grounding of key themes, Critical Theory and Pedagogy argues for a democratic reconstruction of education that overcomes traditional, limiting, and oppressive aspects—what Marx and Engels saw as "the ruling ideas of the ruling class" and bell hooks reminds us includes the colonization of subjects into White, Patriarchal Capitalism—and embraces alternative pedagogies and principles suitable for the present age. This project includes developing multiple critical literacies as a response to digital technologies and developing critical pedagogies to meet the challenges of globalization, multiculturalism, and institutionalized racism, classism, and sexism, while promoting radical democratization to counter the trend toward the imposition of a neo-liberal business model of education.

This book describes new theories and applications of artificial neural networks, with a special focus on neural computation, cognitive science and machine learning. It discusses cutting-edge research at the intersection between different fields, from topics such as cognition and behavior, motivation and emotions, to neurocomputing, deep learning, classification and clustering. Further topics include signal processing methods, robotics and neurobionics, and computer vision alike. The book includes selected papers from the XIX International Conference on Neuroinformatics, held on October 2-6, 2017, in Moscow, Russia.

Stochastic modeling is a set of quantitative techniques for analyzing practical systems with random factors. This area is highly technical and mainly developed by mathematicians. Most existing books are for those with extensive mathematical training; this book minimizes that need and makes the topics easily understandable. Fundamentals of Stochastic Models offers many practical examples and applications and bridges the gap between elementary stochastics process theory and advanced process theory. It addresses both performance evaluation and optimization of stochastic systems and covers different modern analysis techniques such as matrix analytical methods and diffusion and fluid limit methods. It goes on to explore the linkage between stochastic models, machine learning, and artificial intelligence, and discusses how to make use of intuitive approaches instead of traditional theoretical approaches. The goal is to minimize the mathematical background of readers that is required to understand the topics covered in this book. Thus, the book is appropriate for professionals and students in industrial engineering, business and economics, computer science, and applied mathematics.

ARTIFICIAL INTELLIGENCE (AI) IN FORENSIC SCIENCES Foundational text for teaching and learning within the field of Artificial Intelligence (AI) as it applies to forensic science Artificial Intelligence (AI) in Forensic Sciences presents an overview of the state-of-the-art applications of Artificial Intelligence within Forensic Science, covering issues with validation and new crimes that use AI; issues with triage, preselection, identification, argumentation and explain ability; demonstrating uses of AI in forensic science; and providing discussions on bias when using AI. The text discusses the challenges for the legal presentation of AI data and interpretation and offers solutions to this problem while addressing broader practical and emerging issues in a growing area of interest in forensics. It builds on key developing areas of focus in academic and government research, providing an authoritative and well-researched perspective. Compiled by two highly qualified editors with significant experience in the field, and part of the Wiley — AAFS series ‘Forensic Science in Focus’, Artificial Intelligence (AI) in Forensic Sciences includes information on: Cyber IoT, fundamentals on AI in forensic science, speaker and facial comparison, and deepfake detection Digital-based evidence creation, 3D and AI, interoperability of standards, and forensic audio and speech analysis Text analysis, video and multimedia analytics, reliability, privacy, network forensics, intelligence operations, argumentation support in court, and case applications Identification of genetic markers, current state and federal legislation with regards to AI, and forensics and fingerprint analysis Providing comprehensive coverage of the subject, Artificial Intelligence (AI) in Forensic Sciences is an essential advanced text for final year undergraduates and master’s students in forensic science, as well as universities teaching forensics (police, IT security, digital science and engineering), forensic product vendors and governmental and cyber security agencies.

An in-depth assessment of innovations in military information technology informs hypothetical outcomes for artificial intelligence adaptations In the coming decades, artificial intelligence (AI) could revolutionize the way humans wage war. The military organizations that best innovate and adapt to this AI revolution will likely gain significant advantages over their rivals. To this end, great powers such as the United States, China, and Russia are already investing in novel sensing, reasoning, and learning technologies that will alter how militaries plan and fight. The resulting transformation could fundamentally change the character of war. In Information in War, Benjamin Jensen, Christopher Whyte, and Scott Cuomo provide a deeper understanding of the AI revolution by exploring the relationship between information, organizational dynamics, and military power. The authors analyze how militaries adjust to new information communication technology historically to identify opportunities, risks, and obstacles that will almost certainly confront modern defense organizations as they pursue AI pathways to the future. Information in War builds on these historical cases to frame four alternative future scenarios exploring what the AI revolution could look like in the US military by 2040.

Evolving out of a research project on information technology and society, the book explores the digitization of the American city. Laguerre examines the impact of changes to various sectors of society, brought about by the advent of information technology and the Internet upon daily life in the contemporary American metropolis. The book focuses on actual information technology practices in the Silicon Valley/San Francisco metropolitan area, explaining how those practices are remoulding social relations, global interaction and the workplace environment.

An in-depth assessment of innovations in military information technology informs hypothetical outcomes for artificial intelligence adaptations In the coming decades, artificial intelligence (AI) could revolutionize the way humans wage war. The military organizations that best innovate and adapt to this AI revolution will likely gain significant advantages over their rivals. To this end, great powers such as the United States, China, and Russia are already investing in novel sensing, reasoning, and learning technologies that will alter how militaries plan and fight. The resulting transformation could fundamentally change the character of war. In Information in War, Benjamin Jensen, Christopher Whyte, and Scott Cuomo provide a deeper understanding of the AI revolution by exploring the relationship between information, organizational dynamics, and military power. The authors analyze how militaries adjust to new information communication technology historically to identify opportunities, risks, and obstacles that will almost certainly confront modern defense organizations as they pursue AI pathways to the future. Information in War builds on these historical cases to frame four alternative future scenarios exploring what the AI revolution could look like in the US military by 2040.

Unique selling point: Comprehensive tome on developing and implementing parallel and distributed systems Core audience: Computer science title for systems developers and designers Place in the market: Professional title for a niche segment of developers and programmers

Molecular simulation allows researchers unique insight into the structures and interactions at play in fluids. Since publication of the first edition of Molecular Simulation of Fluids, novel developments in theory, algorithms and computer hardware have generated enormous growth in simulation capabilities. This 2nd edition has been fully updated and expanded to highlight this recent progress, encompassing both Monte Carlo and molecular dynamic techniques, and providing details of theory, algorithms and both serial and parallel implementations. Beginning with a clear introduction and review of theoretical foundations, the book goes on to explore intermolecular potentials before discussing the calculation of molecular interactions in more detail. Monte Carlo simulation and integrators for molecular dynamics are then discussed further, followed by non-equilibrium molecular dynamics and molecular simulation of ensembles and phase equilibria. The use of object-orientation is examined in detail, with working examples coded in C++. Finally, practical parallel simulation algorithms are discussed using both MPI and GPUs, with the latter coded in CUDA. Drawing on the extensive experience of its expert author, Molecular Simulation of Fluids: Theory, Algorithms, Object-Orientation, and Parallel Computing 2nd Edition is a practical, accessible guide to this complex topic for all those currently using, or interested in using, molecular simulation to study fluids.

Intelligence-Based Cardiology and Cardiac Surgery: Artificial Intelligence and Human Cognition in Cardiovascular Medicine provides a comprehensive survey of artificial intelligence concepts and methodologies with real-life applications in cardiovascular medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and data science domains. The book's content consists of basic concepts of artificial intelligence and human cognition applications in cardiology and cardiac surgery. This portfolio ranges from big data, machine and deep learning, cognitive computing and natural language processing in cardiac disease states such as heart failure, hypertension and pediatric heart care. The book narrows the knowledge and expertise chasm between the data scientists, cardiologists and cardiac surgeons, inspiring clinicians to embrace artificial intelligence methodologies, educate data scientists about the medical ecosystem, and create a transformational paradigm for healthcare and medicine.

Covers basic and advanced concepts of Synthetic Aperture Radar (SAR) remote sensing Introduces spaceborne SAR sensors Discusses applications of SAR remote sensing in earth observation Explores utilization of SAR data for solid earth, ecosystem, and cryosphere including imaging of extra-terrestrial bodies Includes PolSAR and PolInSAR for forest aboveground biomass retrieval, and InSAR and PolSAR for snow parameters retrieval