Algorithms Of Armageddon

It is unclear if U.S. policy makers and military leaders fully realize that we have already been thrust into an artificial intelligence (AI) race with authoritarian powers. Today, the United States’ peer adversaries—China and Russia—have made clear their intentions to make major investments in AI and insert this technology into their military systems, sensors and weapons. Their goal is to gain an asymmetric advantage over the U.S. military. The implications for our national security are many and complex. Algorithms of Armageddon examines this most pressing security issue in a clear, insightful delivery by two experts. Authors George Galdorisi and Sam J. Tangredi are national security professionals who deal with AI on a day-to-day basis in their work in both the technical and policy arenas. Opening chapters explain the fundamentals of what constitutes big data, machine learning, and artificial intelligence. They investigate the convergence of AI with other technologies and how these systems will interact with humans. Critical to the issue is the manner by which AI is being developed and utilized by Russia and China. The central chapters of the work address the weaponizing of AI through interaction with other technologies, man-machine teaming, and autonomous weapons systems. The authors cover in depth debates surrounding the AI “genie out of the bottle” controversy, AI arms races, and the resulting impact on policy and the laws of war. Given that global powers are leading large-scale development of AI, it is likely that use of this technology will be global in extent. Will AI-enabled military weapons systems lead to full-scale global war? Can such a conflict be avoided? The later chapters of the work explore these questions, point to the possibility of humans failing to control military AI applications, and conclude that the dangers for the United States are real. Neither a protest against AI, nor a speculative work on how AI could replace humans, Algorithms of Armageddon provides a time-critical understanding of why AI is being implemented through state weaponization, the realities for the global power balance, and more importantly, U.S. national security. Galdorisi and Tangredi propose a national dialogue that focuses on the need for U.S. military to have access to the latest AI-enabled technology in order to provide security and prosperity to the American people.

An all-new novel of The Next Generation expanded universe from the New York Times bestselling author! It is a new age of exploration, and the U.S.S. Enterprise is dispatched to “the Odyssean Pass,” a region charted only by unmanned probes and believed to contain numerous inhabited worlds. Approaching a star system with two such planets, Captain Jean-Luc Picard and his crew find a massive alien vessel, drifting in interstellar space for decades. Sensors detect life aboard the derelict—aliens held in suspended animation. Thought to be an immense sleeper ship, the vessel actually is a weapon capable of destroying entire worlds...the final gambit in a war that has raged for generations across the nearby system. Captain Picard is now caught in the middle of this conflict and attempts to mediate, as both sides want this doomsday weapon…which was sent from the future with the sole purpose of ending the interplanetary war before it even began!

This book provides the reader with a background on simulating copulas and multivariate distributions in general. It unifies the scattered literature on the simulation of various families of copulas (elliptical, Archimedean, Marshall-Olkin type, etc.) as well as on different construction principles (factor models, pair-copula construction, etc.). The book is self-contained and unified in presentation and can be used as a textbook for advanced undergraduate or graduate students with a firm background in stochastics. Alongside the theoretical foundation, ready-to-implement algorithms and many examples make this book a valuable tool for anyone who is applying the methodology. Errata(s) Errata (128 KB) Sample Chapter(s) Chapter 1: Introduction (1,016 KB) Chapter 4: Elliptical Copulas (857 KB) Contents:IntroductionArchimedean CopulasMarshall–Olkin CopulasElliptical CopulasPair Copula ConstructionsSampling Univariate Random VariablesThe Monte Carlo Method Readership: Advanced undergraduate and graduate students in probability calculus and stochastics, practitioners who implement models in the financial industry and scientists. Keywords:Copula;Simulation;Monte Carlo;Random Vector;Dependence ModelKey Features:Explicit focus on stochastic representations of copulas in contrast to an analytical perspectiveEasy-to-implement simulation schemes given as pseudo codeExplicit focus on high-dimensional modelsFocus on applicability of models, e.g. to portfolio credit risk or insuranceReviews:“The book is essentially self-contained, as the reader interested in copulas from the simulation point of view will find all necessary material in it, including an introduction to copulas if he has never been exposed to them. Both the theoretical and practical frameworks emerge quite clearly from the book. In any case, the rich bibliography contains all the references required for further in-depth analyses of specific issues. I think that the authors did a very good job, filling a gap in the statistical literature and providing a contribution that is going to be particularly helpful to statisticians without a specific background in copulas. ”Mathematical Reviews

"Algorithms of the Intelligent Web" is an example-driven blueprint for creating applications that collect, analyze, and act on the massive quantities of data users leave in their wake as they use the Web. Readers learn to build Netflix-style recommendation engines, and how to apply the same techniques to social-networking sites.

In a world that is awash in ubiquitous technology, even the least tech-savvy know that we must take care how that technology affects individuals and society. That governments and organizations around the world now focus on these issues, that universities and research institutes in many different languages dedicate significant resources to study the issues, and that international professional organizations have adopted standards and directed resources toward ethical issues in technology is in no small part the result of the work of Simon Rogerson. – Chuck Huff, Professor of Social Psychology at Saint Olaf College, Northfield, Minnesota In 1995, Apple launched its first WWW server, Quick Time On-line. It was the year Microsoft released Internet Explorer and sold 7 million copies of Windows 95 in just 2 months. In March 1995, the author Simon Rogerson opened the first ETHICOMP conference with these words: We live in a turbulent society where there is social, political, economic and technological turbulence ... it is causing a vast amount of restructuring within all these organisations which impacts on individuals, which impacts on the way departments are set up, organisational hierarchies, job content, span of control, social interaction and so on and so forth. ... Information is very much the fuel of modern technological change. Almost anything now can be represented by the technology and transported to somewhere else. It's a situation where the more information a computer can process, the more of the world it can actually turn into information. That may well be very exciting, but it is also very concerning. That could be describing today. More than 25 years later, these issues are still at the forefront of how ethical digital technology can be developed and utilised. This book is an anthology of the author’s work over the past 25 years of pioneering research in digital ethics. It is structured into five themes: Journey, Process, Product, Future and Education. Each theme commences with an introductory explanation of the papers, their relevance and their interrelationship. The anthology finishes with a concluding chapter which summarises the key messages and suggests what might happen in the future. Included in this chapter are insights from some younger leading academics who are part of the community charged with ensuring that ethical digital technology is realised.

Recognizing that robust decision making is vital in risk management, this book provides concepts and algorithms for computing the best decision in view of the worst-case scenario. The main tool used is minimax, which ensures robust policies with guaranteed optimal performance that will improve further if the worst case is not realized. The applications considered are drawn from finance, but the design and algorithms presented are equally applicable to problems of economic policy, engineering design, and other areas of decision making. Critically, worst-case design addresses not only Armageddon-type uncertainty. Indeed, the determination of the worst case becomes nontrivial when faced with numerous--possibly infinite--and reasonably likely rival scenarios. Optimality does not depend on any single scenario but on all the scenarios under consideration. Worst-case optimal decisions provide guaranteed optimal performance for systems operating within the specified scenario range indicating the uncertainty. The noninferiority of minimax solutions--which also offer the possibility of multiple maxima--ensures this optimality. Worst-case design is not intended to necessarily replace expected value optimization when the underlying uncertainty is stochastic. However, wise decision making requires the justification of policies based on expected value optimization in view of the worst-case scenario. Conversely, the cost of the assured performance provided by robust worst-case decision making needs to be evaluated relative to optimal expected values. Written for postgraduate students and researchers engaged in optimization, engineering design, economics, and finance, this book will also be invaluable to practitioners in risk management.

In a world divided by virtual sector walls after the dark web hack that caused the worldwide IoT meltdown, a group of people and magical beings who live in a parallel universe plan to reunite the globe. They will fight the dark force threatening to control the world through sophisticated artificial intelligence algorithms. Years in the future, two young elite sproggers (recruits) of the most powerful military compound in the largest smart city in the U.S. go missing in a failed translocation operation. They land in an ancient crypt in Italy, to discover they’re now among a small clan of magical beings who want to eradicate the evil force behind the artificial intelligence operating system that controls nearly the whole world through algorithms. The race is on to find the sproggers before the unknown forces do.

Recognizing that robust decision making is vital in risk management, this book provides concepts and algorithms for computing the best decision in view of the worst-case scenario. The main tool used is minimax, which ensures robust policies with guaranteed optimal performance that will improve further if the worst case is not realized. The applications considered are drawn from finance, but the design and algorithms presented are equally applicable to problems of economic policy, engineering design, and other areas of decision making. Critically, worst-case design addresses not only Armageddon-