Putting people into places and situations unprecedented in history is stirred the imagination while the human experience was expanding and redefining. Yet, space exploration compels humans to confront a hostile environment of cosmic radiations, radical changes in the gravity and magnetic fields, as well as social isolation. Therefore, any space traveller is submitted to relevant health-related threats. In the twenty-first century, human space flight is poised to continue, but it will enjoy the ongoing developments in science and technology. It will become more networked, more global, and more oriented toward primary goals. A novel international human space flight policy could help achieve these objectives by clarifying the rationale, the ethics of acceptable risk, the role of remote presence, and the need for balance between funding and ambition to justify the risk of human lives. In order to address such a challenge, a preliminary careful survey of the available scientific data is mandatory to set forth adequate countermeasures. Envisaged solutions should provide a sound and technically feasible approach for counteracting microgravity and cosmic rays effects, which represent the main health risk for space crews. This objective must necessarily be sustained by national/international space agencies, which would coordinate their common efforts into a defined international spaceflight program.

    From the book, you learn why the field is important, both as a branch of engineering and as a science. If you are a computer scientist or an engineer, you will enjoy the book, because it provides a cornucopia of new ideas for representing knowledge, using knowledge, and building practical systems. If you are a psychologist, biologist, linguist, or philosopher, you will enjoy the book because it provides an exciting computational perspective on the mystery of intelligence. The Knowledge You Need This completely rewritten and updated edition of Artificial Intelligence reflects the revolutionary progress made since the previous edition was published. Part I is about representing knowledge and about reasoning methods that make use of knowledge. The material covered includes the semantic-net family of representations, describe and match, generate and test, means-ends analysis, problem reduction, basic search, optimal search, adversarial search, rule chaining, the rete algorithm, frame inheritance, topological sorting, constraint propagation, logic, truth

    Moving between New Yorks Wall Street and the beauty of Corsica, Berberians novel is a literary rendering of Marxs Capital for the 21st century: where a fund trader makes his profits through the collapse of overseas markets--and ensures it with the aid of a hired assassin.

    The long, lavish, and utterly unpredictable sentences that Schiff has assembled contort as much to discover what can’t be contained as what can.     This is a book of extremes relentlessly contemporary in scope. And like the eighty-blade sportsman’s knife also described here, Revolver keeps opening and reopening to the daunting possibilities of transformation—“Splayed it is a bouquet of all the ways a point mutates.”from “Silverware by J. A. Henckels”Let me beas streamlined as my knife when I say this.As cold as my three-pronged fork thatcools the meat even as it steadies it.A pettiness in me was honedin this cutlers’ town, later bombed,in which Adolf Eichmann, who was born therealongside my wedding pattern, could hearthe constant sharpening of kniveslike some children hear the corn in their hometownstalking to them through the wind.The horizon is just the score they breathe throughlike a box of chickensbreathing through a slit.

    When hearing those words just a couple of years back, people used to say: It’s a scam, financial bubble IThere is no point in investing, the price is too low INo country will ever recognize cryptocurrency IIt’s an obvious pyramid scheme IIt’s a sort of amusement for nerds IIt's not serious, it will collapse in a couple of years. Until recently, cryptocurrency had been viewed as a sort of amusement for a handful of the chosen who bought and sold something and believed that a new currency would make a hit one day! You surely were also among those people who did not take Bitcoin and cryptocurrency seriously, but the current events gag even the biggest skeptics. Current Bitcoin price is 6,644$* The price of the most popular cryptocurrency repeatedly breaks all the unthinkable records. Capitalization is about $120 billion World recognition The world's largest economies – India and Japan – recognized Bitcoin as the official currency. The US authorities recognized cryptocurrency as the asset. And this is just the beginning. Mining on an industrial scale The cryptocurrency market is extremely fast-changing, and it is almost impossible to monitor the situation and make the right decisions on your own. Most people have no proper experience, time and money for that. My book gives basic yet quite extensive information for those people who do not chase a rainbow but want to build a long-term profitable business in one of the cryptocurrency areas: from mining to investing. So, this book is not about: Illegal ways of making money Praising cryptocurrency and urging you to invest in it to the last penny Fraud techniques and making a fast buck Boring and pointless theory Ways to earn millions without investments and risks This book will help you get to learn the following: Which way of making money in cryptocurrency market suits you best. Where should you start if you have just $500. What information about cryptocurrency the experts withhold (Take the rose-colored glasses off!). How to elaborate a personal strategy, set up your own cryptocurrency business and earn your first $3,000-10,000 as early as 2018. I can also guarantee that you: Puzzle out the main present-day currency trend even if you are clueless about economics, finance and technology. Understand whether you really want to invest in cryptocurrency (perhaps, this type of business doesn’t suit you at all and you will save your time) Get to learn how to check the risks and not to invest in the first available currency Having considered my experience, protect yourself from possible failures and pouring money down the drain which will inevitably happen if you go it blind.

    It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.

    Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory.All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points.The Second Edition features: * Chapters reorganized to improve teaching * 200 new problems * New material on source coding, portfolio theory, and feedback capacity * Updated referencesNow current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications.

    Over 100,000 adults have benefitted from Tim Elmore’s insights in this landmark book, which has been updated and expanded to include new research, stories, practical solutions, and two bonus chapters to help adults connect with today’s teens and young adults.

    Panda was designed to remove low quality content from the search engine results pages. The surprise to many were some of the big name casualties that were taken out by the update. On 24th April 2012, Google went in for the kill when they released the Penguin update. Few SEOs that had been in the business for any length of time could believe the carnage that this update caused. If Google's Panda was a 1 on the Richter scale of updates, Penguin was surely a 10. It completely changed the way we need to think about SEO. On September 28th 2012, Google released a new algorithm update targeting exact match domains (EMDs). I have updated this book to let you know the consequences of owning EMDs and added my own advice on choosing domain names. While I have never been a huge fan of exact match domains anyway, many other SEO books and courses teach you to use them. I'll tell you why I think those other courses and books are wrong.The EMD update was sandwiched in between another Panda update (on the 27th September) and another Penguin update (5th October).Whereas Panda seems to penalize low quality content, Penguin is more concerned about overly aggressive SEO tactics. Stuff that SEOs had been doing for years, not only didn't work any more, but now can actually cause your site to be penalized and drop out of the rankings. That’s right, just about everything you have been taught about Search Engine Optimization in the last 10 years can be thrown out the Window. Google have moved the goal posts. I have been working in SEO for around 10 years and have always tried to stay within the guidelines laid down by Google. This has not always been easy because to compete with other sites, it often meant using techniques that Google frowned upon. Now, if you use those techniques, Google is likely to catch up with you and demote your rankings. In this book, I want to share with you the new SEO. The SEO for 2013 and Beyond.

    They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors, including a MATLAB toolbox, are available online.

    Throughout, the emphasis is on how IT provides organizations with strategic advantage by facilitating problem solving, increasing productivity and quality, improving customer service, and enabling business process reengineering. It also covers the latest real-world developments, including the introduction of applied grid computing and utility computing.

    Contemporary research in the empirical neurosciences and recent research in the philosophy of mind and the philosophy of science are used to illuminate fundamental questions concerning the relation between abstract cognitive theory and substantive neuroscience.

    Republished in book form shortly thereafter, it has since gone through four hardcover and sixteen paperback printings. It is a revolutionary work, astounding in its foresight and contemporaneity. The University of Illinois Press is pleased and honored to issue this commemorative reprinting of a classic.

    The book will teach you about:* Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data* Deep learning, a powerful set of techniques for learning in neural networksNeural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you the core concepts behind neural networks and deep learning.

    The author uses the concept of MOV, combined with his own research, to create a solid foundation for making decisions throughout the project's lifecycle. The book's integration of project management and IT concepts provides students with the tools and techniques they need to develop in this field.