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Our world today -- from the phone in your pocket to the car that you drive, the allure of social media to the strategy of the Pentagon -- has been shaped irrevocably by the technology of silicon transistors. Year after year, for half a century, these tiny switches have enabled ever-more startling capabilities. Their incredible proliferation has altered the course of human history as dramatically as any political or social revolution. At the heart of it all has been one quiet Californian: Gordon Moore. At Fairchild Semiconductor, his seminal Silicon Valley startup, Moore -- a young chemist turned electronics entrepreneur -- had the defining insight: silicon transistors, and microchips made of them, could make electronics profoundly cheap and immensely powerful. Microchips could double in power, then redouble again in clockwork fashion. History has borne out this insight, which we now call "Moore's Law", and Moore himself, having recognized it, worked endlessly to realize his vision. With Moore's technological leadership at Fairchild and then at his second start-up, the Intel Corporation, the law has held for fifty years. The result is profound: from the days of enormous, clunky computers of limited capability to our new era, in which computers are placed everywhere from inside of our bodies to the surface of Mars. Moore led nothing short of a revolution. In Moore's Law, Arnold Thackray, David C. Brock, and Rachel Jones give the authoritative account of Gordon Moore's life and his role in the development both of Silicon Valley and the transformative technologies developed there. Told by a team of writers with unparalleled access to Moore, his family, and his contemporaries, this is the human story of man and a career that have had almost superhuman effects. The history of twentieth-century technology is littered with overblown "revolutions." Moore's Law is essential reading for anyone seeking to learn what a real revolution looks like.
Nanostructuring of materials is a task at the heart of many modern disciplines in mechanical engineering, as well as optics, electronics, and the life sciences. This book includes an introduction to the relevant nonlinear optical processes associated with very short laser pulses for the generation of structures far below the classical optical diffraction limit of about 200 nanometers as well as coverage of state-of-the-art technical and biomedical applications. These applications include silicon and glass wafer processing, production of nanowires, laser transfection and cell reprogramming, optical cleaning, surface treatments of implants, nanowires, 3D nanoprinting, STED lithography, friction modification, and integrated optics. The book highlights also the use of modern femtosecond laser microscopes and nanoscopes as novel nanoprocessing tools.
The world of smart shoes, appliances, and phones is already here, but the practice of user experience (UX) design for ubiquitous computing is still relatively new. Design companies like IDEO and frogdesign are regularly asked to design products that unify software interaction, device design and service design -- which are all the key components of ubiquitous computing UX -- and practicing designers need a way to tackle practical challenges of design. Theory is not enough for them -- luckily the industry is now mature enough to have tried and tested best practices and case studies from the field. Smart Things presents a problem-solving approach to addressing designers' needs and concentrates on process, rather than technological detail, to keep from being quickly outdated. It pays close attention to the capabilities and limitations of the medium in question and discusses the tradeoffs and challenges of design in a commercial environment. Divided into two sections, frameworks and techniques, the book discusses broad design methods and case studies that reflect key aspects of these approaches. The book then presents a set of techniques highly valuable to a practicing designer. It is intentionally not a comprehensive tutorial of user-centered design'as that is covered in many other books'but it is a handful of techniques useful when designing ubiquitous computing user experiences. In short, Smart Things gives its readers both the "why" of this kind of design and the "how," in well-defined chunks. - Tackles design of products in the post-Web world where computers no longer have to be monolithic, expensive general-purpose devices - Features broad frameworks and processes, practical advice to help approach specifics, and techniques for the unique design challenges - Presents case studies that describe, in detail, how others have solved problems, managed trade-offs, and met successes
Carlson covers the development and application of Itanium. He describes why the leap forward in processing power can help CEOUs achieve their company's vision. His book discusses the implication of these changes to a company's IT infrastructure, and issues involving how to move away from the desktop model into implementing a system that best makes use of the IPF.
Providing a comprehensive and accessible introduction to today's U.S. information technology policy issues, this title identifies the main players, and describes the history of legislation and court cases, homeland security, online commerce, anti-trust, and more.
The proliferation of massive data sets brings with it a series of special computational challenges. This "data avalanche" arises in a wide range of scientific and commercial applications. With advances in computer and information technologies, many of these challenges are beginning to be addressed by diverse inter-disciplinary groups, that indude computer scientists, mathematicians, statisticians and engineers, working in dose cooperation with application domain experts. High profile applications indude astrophysics, bio-technology, demographics, finance, geographi cal information systems, government, medicine, telecommunications, the environment and the internet. John R. Tucker of the Board on Mathe matical Seiences has stated: "My interest in this problern (Massive Data Sets) isthat I see it as the rnost irnportant cross-cutting problern for the rnathernatical sciences in practical problern solving for the next decade, because it is so pervasive. " The Handbook of Massive Data Sets is comprised of articles writ ten by experts on selected topics that deal with some major aspect of massive data sets. It contains chapters on information retrieval both in the internet and in the traditional sense, web crawlers, massive graphs, string processing, data compression, dustering methods, wavelets, op timization, external memory algorithms and data structures, the US national duster project, high performance computing, data warehouses, data cubes, semi-structured data, data squashing, data quality, billing in the large, fraud detection, and data processing in astrophysics, air pollution, biomolecular data, earth observation and the environment.
The conventional wisdom on how technology will change the future is wrong. Mark Mills lays out a radically different and optimistic vision for what’s really coming. The mainstream forecasts fall into three camps. One considers today as the “new normal,” where ordering a ride or food on a smartphone or trading in bitcoins is as good as it’s going to get. Another foresees a dystopian era of widespread, digitally driven job- and business-destruction. A third believes that the only technological revolution that matters will be found with renewable energy and electric cars. But according to Mills, a convergence of technologies will instead drive an economic boom over the coming decade, one that historians will characterize as the “Roaring 2020s.” It will come not from any single big invention, but from the confluence of radical advances in three primary technology domains: microprocessors, materials, and machines. Microprocessors are increasingly embedded in everything. Materials, from which everything is built, are emerging with novel, almost magical capabilities. And machines, which make and move all manner of stuff, are undergoing a complementary transformation. Accelerating and enabling all of this is the Cloud, history’s biggest infrastructure, which is itself based on the building blocks of next-generation microprocessors and artificial intelligence. We’ve seen this pattern before. The technological revolution that drove the great economic expansion of the twentieth century can be traced to a similar confluence, one that was first visible in the 1920s: a new information infrastructure (telephony), new machines (cars and power plants), and new materials (plastics and pharmaceuticals). Single inventions don’t drive great, long-cycle booms. It always takes convergent revolutions in technology’s three core spheres—information, materials, and machines. Over history, that’s only happened a few times. We have wrung much magic from the technologies that fueled the last long boom. But the great convergence now underway will ignite the 2020s. And this time, unlike any previous historical epoch, we have the Cloud amplifying everything. The next long boom starts now.
This is a collection of essays written by Moore which form a thorough examination of the theory of criminal responsibility. The author covers a wide range of topics, giving the book a coherence and unity which is rare in assembled essays. Perhaps the most significant feature of this book isMoore's espousal of a retributivist theory of punishment. This anti-utilitarian standpoint is a common thread throughout the book. It is also a trend which is currently manifesting itself in all areas of moral, political and legal philosophy, but Moore is one of the first to apply such attitudes sosytematically to criminal law theory. As such, this innovative, new book will be of great interest to all scholars in this field.
How, beginning in the mid 1960s, the US semiconductor industry helped shape changes in American science, including a new orientation to the short-term and the commercial. Since the mid 1960s, American science has undergone significant changes in the way it is organized, funded, and practiced. These changes include the decline of basic research by corporations; a new orientation toward the short-term and the commercial, with pressure on universities and government labs to participate in the market; and the promotion of interdisciplinarity. In this book, Cyrus Mody argues that the changes in American science that began in the 1960s co-evolved with and were shaped by the needs of the “civilianized” US semiconductor industry. In 1965, Gordon Moore declared that the most profitable number of circuit components that can be crammed on a single silicon chip doubles every year. Mody views “Moore's Law” less as prediction than as self-fulfilling prophecy, pointing to the enormous investments of capital, people, and institutions the semiconductor industry required—the “long arm” of Moore's Law that helped shape all of science. Mody offers a series of case studies in microelectronics that illustrate the reach of Moore's Law. He describes the pressures on Stanford University's electrical engineers during the Vietnam era, IBM's exploration of alternatives to semiconductor technology, the emergence of consortia to integrate research across disciplines and universities, and the interwoven development of the the molecular electronics community and associated academic institutions as the vision of a molecular computer informed the restructuring of research programs.