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We are pleased to present this collection of papers from the Second Workshop on Intelligent Memory Systems. Increasing die densities and inter chip communication costs continue to fuel interest in intelligent memory systems. Since the First Workshop on Mixing Logic and DRAM in 1997, technologies and systems for computation in memory have developed quickly. The focus of this workshop was to bring together researchers from academia and industry to discuss recent progress and future goals. The program committee selected 8 papers and 6 poster session abstracts from 29 submissions for inclusion in the workshop. Four to five members of the program committee reviewed each submission and their reviews were used to numerically rank them and guide the selection process. We believe that the resulting program is of the highest quality and interest possible. The selected papers cover a wide range of research topics such as circuit technology, processor and memory system architecture, compilers, operating systems, and applications. They also present a mix of mature projects, work in progress, and new research ideas. The workshop also included two invited talks. Dr. Subramanian Iyer (IBM Microelectronics) provided an overview of embedded memory technology and its potential. Dr. Mark Snir (IBM Research) presented the Blue Gene, an aggressive supercomputer system based on intelligent memory technology.
This symposium was born as a research forum to present and discuss original, rigorous and significant contributions on Artificial Intelligence-based (AI) solutions—with a strong, practical logic and, preferably, with empirical applications—developed to aid the management of organizations in multiple areas, activities, processes and problem-solving; what we call Management Intelligent Systems (MiS). This volume presents the proceedings of these activities in a collection of contributions with many original approaches. They address diverse Management and Business areas of application such as decision support, segmentation of markets, CRM, product design, service personalization, organizational design, e-commerce, credit scoring, workplace integration, innovation management, business database analysis, workflow management, location of stores, etc. A wide variety of AI techniques have been applied to these areas such as multi-objective optimization and evolutionary algorithms, classification algorithms, ant algorithms, fuzzy rule-based systems, intelligent agents, Web mining, neural networks, Bayesian models, data warehousing, rough sets, etc. This volume also includes a track focused on the latest research on Intelligent Systems and Technology Enhanced Learning (iTEL), as well as its impacts for learners and institutions. It aims at bringing together researchers and developers from both the professional and the academic realms to present, discuss and debate the latest advances on intelligent systems and technology-enhanced learning The symposium was organized by the Soft Computing and Intelligent Information Systems Research Group (http://sci2s.ugr.es) of the University of Granada (Spain) and the Bioinformatics, Intelligent System and Educational Technology Research Group (http:// bisite.usal.es/) of the University of Salamanca (Spain). The present edition was held in Salamanca (Spain) on May 22–24, 2013.
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This volume contains 67 papers reporting on the state-of-the-art research in the fields of adaptive control and intelligent tuning. Papers include applications in robotics, the processing industries and machine control.
From the inventor of the PalmPilot comes a new and compelling theory of intelligence, brain function, and the future of intelligent machines Jeff Hawkins, the man who created the PalmPilot, Treo smart phone, and other handheld devices, has reshaped our relationship to computers. Now he stands ready to revolutionize both neuroscience and computing in one stroke, with a new understanding of intelligence itself. Hawkins develops a powerful theory of how the human brain works, explaining why computers are not intelligent and how, based on this new theory, we can finally build intelligent machines. The brain is not a computer, but a memory system that stores experiences in a way that reflects the true structure of the world, remembering sequences of events and their nested relationships and making predictions based on those memories. It is this memory-prediction system that forms the basis of intelligence, perception, creativity, and even consciousness. In an engaging style that will captivate audiences from the merely curious to the professional scientist, Hawkins shows how a clear understanding of how the brain works will make it possible for us to build intelligent machines, in silicon, that will exceed our human ability in surprising ways. Written with acclaimed science writer Sandra Blakeslee, On Intelligence promises to completely transfigure the possibilities of the technology age. It is a landmark book in its scope and clarity.
How "Aha!" really happens. When do you get your best ideas? You probably answer "At night," or "In the shower," or "Stuck in traffic." You get a flash of insight. Things come together in your mind. You connect the dots. You say to yourself, "Aha! I see what to do." Brain science now reveals how these flashes of insight happen. It's a special form of intuition. We call it strategic intuition, because it gives you an idea for action-a strategy. Brain science tells us there are three kinds of intuition: ordinary, expert, and strategic. Ordinary intuition is just a feeling, a gut instinct. Expert intuition is snap judgments, when you instantly recognize something familiar, the way a tennis pro knows where the ball will go from the arc and speed of the opponent's racket. (Malcolm Gladwell wrote about this kind of intuition in Blink.) The third kind, strategic intuition, is not a vague feeling, like ordinary intuition. Strategic intuition is a clear thought. And it's not fast, like expert intuition. It's slow. That flash of insight you had last night might solve a problem that's been on your mind for a month. And it doesn't happen in familiar situations, like a tennis match. Strategic intuition works in new situations. That's when you need it most. Everyone knows you need creative thinking, or entrepreneurial thinking, or innovative thinking, or strategic thinking to succeed in the modern world. All these kinds of thinking happen through flashes of insight--strategic intuition. And now that we know how it works, you can learn to do it better. That's what this book is about. Over the past ten years, William Duggan has conducted pioneering research on strategic intuition and for the past three years has taught a popular course at Columbia Business School on the subject. He now gives us this eye-opening book that shows how strategic intuition lies at the heart of great achievements throughout human history: the scientific and computer revolutions, women's suffrage, the civil rights movement, modern art, microfinance in poor countries, and more. Considering the achievements of people and organizations, from Bill Gates to Google, Copernicus to Martin Luther King, Picasso to Patton, you'll never think the same way about strategy again. Three kinds of strategic ideas apply to human achievement: * Strategic analysis, where you study the situation you face * Strategic intuition, where you get a creative idea for what to do * Strategic planning, where you work out the details of how to do it. There is no shortage of books about strategic analysis and strategic planning. This new book by William Duggan is the first full treatment of strategic intuition. It's the missing piece of the strategy puzzle that makes essential reading for anyone interested in achieving more in any field of human endeavor.
SMART MATERIALS FOR SCIENCE AND ENGINEERING Smart materials, also known as advanced or creative materials, are described as advanced materials that react intuitively to environmental changes or as materials that can return to their original shape in response to certain stimuli. Smart materials are classified as either active or passive based on their characteristics. There are two types of active materials. The first kind cannot change its characteristics when subjected to outside stimuli, for example photochromatic spectacles that only alter their color when exposed to sunlight. The other, which includes piezoelectric materials, can change one sort of energy (thermal, electrical, chemical, mechanical, or optical) into another. When subjected to external pressure, it can generate an electric charge. As an example, optical fibers can transmit electromagnetic waves. In contrast, passive smart materials can transmit a specific sort of energy. They have some amazing qualities that set them apart from other materials, such as transiency, meaning they can react to different kinds of external stimuli immediately, self-actuation or the capacity to change their appearance and shape, selectivity where the response is divided and expected, directness when the response is limited to the activating event, shape-changing where the material can change its shape to external stimuli, their ability to determine their own health, also known as self-diagnosis, and their ability to self-heal. The ability to synthesize novel materials has substantially progressed thanks to science and technology over the past 20 years. They fall mostly into the following four categories: polymers, ceramics, metals, and smart materials. Among these, smart materials are gaining popularity since they have more uses than conventional materials. Smart materials are unusual substances that have the ability to alter their properties, such as those that can immediately change their phase when placed near a magnet or their shape simply by applying heat. Humanity will be significantly impacted by this new era of smart materials. For instance, some of them can adapt their properties to the environment, some have sensory capabilities, some can repair themselves automatically, and some can degrade themselves. These extraordinary properties of smart materials will have an effect on all facets of civilization. There are many different types of intelligent materials, including magnetorheological materials, electro-rheostat materials, shape memory alloys, piezoelectric materials, and more. This book describes many forms of smart materials and their possible uses in various fields. A literature survey discusses the different types of smart materials, such as based ceramics, polymers, and organic compounds and their needs, advantages, disadvantages, and applications will be comprehensively discussed. A discussion of well-established smart materials including piezoelectric, magnetostrictive, shape memory alloy, electro-rheological fluid, and magnetorheological fluid materials will be discussed with their present prospects.
The definitive guide to the smart card industry. - Will help you to keep track of the major issues affecting the market - Will enable you to identify new business opportunities - Includes profiles of key players, assesses market trends and drivers, comprehensive technology review Completely revised and updated, the 8th edition of The Smart Card Report examines the smart card market and major end-use sectors, identifying their needs for smart cards, assessing growth prospects and highlighting market opportunities. The study looks at the structure of the industry, profiles key players, assesses market trends and drivers, discusses industry issues and investigates usage by geographical region and application area. A comprehensive technology review is also included. We have drawn on the expertise from our existing portfolio, Card Technology Today newsletter and ID Smart: Cards for Governement & Healthcare conference to bring you vital information, analysis and forecasts that cannot be found anywhere else.
The book intends to bring under one roof research work of leading groups from across the globe working on advanced applications of emerging memory technology nanodevices. The applications dealt in the text will be beyond conventional storage application of semiconductor memory devices. The text will deal with material and device physical principles that give rise to interesting characteristics and phenomena in the emerging memory device that can be exploited for a wide variety of applications. Applications covered will include system-centric cases such as – caches, NVSRAM, NVTCAM, Hybrid CMOS-RRAM circuits for: Machine Learning, In-Memory Computing, Hardware Security - RNG/PUF, Biosensing and other misc beyond storage applications. The book is envisioned for multi-purpose use as a textbook in advanced UG/PG courses and a research text for scientists working in the domain.
With essentially the same basis as the 1971 Abilities, Their Structure, Growth and Action, this new volume reflects the developments of subsequent years.