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                <text>Quantum computing since Democritus</text>
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                <text>Written by noted quantum computing theorist Scott Aaronson, this book takes readers on a tour through some of the deepest ideas of maths, computer science and physics. Full of insights, arguments and philosophical perspectives, the book covers an amazing array of topics. Beginning in antiquity with Democritus, it progresses through logic and set theory, computability and complexity theory, quantum computing, cryptography, the information content of quantum states and the interpretation of quantum mechanics. There are also extended discussions about time travel, Newcomb's Paradox, the anthropic principle and the views of Roger Penrose. Aaronson's informal style makes this fascinating book accessible to readers with scientific backgrounds, as well as students and researchers working in physics, computer science, mathematics and philosophy.</text>
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                <text>Stephen Talbott's The Future Does Not Compute has been widely touted as a neo-Luddite anti-computer tract. This sort of pigeonholing makes it easy to ignore the profound and disturbing questions Talbott raises about our machine-dominated society. The author brings years of computer and Internet experience to the table, leavened by a deep scepticism of techno-idealism, disdain of muddy thinking, and fear that we have embraced an overwhelming force before we've begun to examine its implications.&lt;br /&gt;&lt;br /&gt;
Is technology a utopian delusion that blinds us to social and personal reality? Does the information society actually disdain information? Have we anthropomorphized machines to the point where our institutions resemble them? Talbott neither expects that computers will vanish, nor believes they should. What he asks of us is to examine closely our own humanity. As much as computer believers may squirm, it's hard to elude the questions raised by this complex and intelligent book.</text>
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                <text>May (computer science, George Mason U. and Virginia Tech) explores the limits of computer intelligence and human consciousness, arguing that computers will never be as powerful as science fiction leads us to believe. He romps through the sciences in quest of unsolvable questions using nonmathematical explanations, analogies, and examples. Some of the popular topics he explores are whether computers can have consciousness, questions of free will and cosmology, the future of virtual reality, and theories exemplified by "real-world" laws, resource allocation, and economics</text>
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                <text>Als er tegenwoordig één nieuwe hype lijkt te bestaan, dan is het wel ‘Big Data’. De explosieve groei aan digitale gegevens wordt door marketing managers, multinationals en overheden triomfantelijk binnengehaald als het nieuwe goud. De datarevolutie gaat al onze vragen beantwoorden – zelfs nog voordat we ze gesteld hebben. Maar wat is het eigenlijk, Big Data? En wat moet je ermee, als je niet in de ITwereld werkt?&lt;br /&gt;&lt;br /&gt;
In Dit is Big Data neemt New York Times-journalist Steve Lohr je mee in de wereld achter de hype. Met duidelijke voorbeelden en sprekende anekdotes legt hij uit wat de term Big Data nu precies inhoudt, wat voor impact het op ons (ja, ook op jou) heeft en hoe je goed beslagen ten ijs kunt komen in dit nieuwe informatietijdperk. Want of je nu leraar, arts, manager of ondernemer bent: wie niet thuis is in de wereld van data-analyse en de bijbehorende digitale infrastructuur is de nieuwe analfabeet. Die herkent bijvoorbeeld niet hoe Big Data wordt gebruikt om zijn online aankopen te beïnvloeden of wat voor onaangeroerde schatten er in zijn eigen organisatie aanwezig zijn. In Dit is Big Data vertelt Lohr ons daarom hoe we onze data het beste kunnen managen, beschermen én exploiteren.&lt;br /&gt;</text>
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                <text>Originally published in 1989, this book provides a comprehensive account of how to handle astronomical data. Descriptions of data acquisition, handling, and interpretation are included. The advice starts with chapters on observatories and observations, followed by discussions on the archiving of data and its presentation in the literature. There are many useful suggestions on the nomenclature of astronomical objects, and descriptions of the astronomical catalogues. Three chapters concentrate on databases and astronomical data centres. Finally the author comments on publication and the growth of astronomical data. The clear advice given in this book will be of interest to professional astronomers and graduate students who handle data.</text>
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