Advertisement
| future of computer science: Ideas That Created the Future Harry R. Lewis, 2021-02-02 Classic papers by thinkers ranging from from Aristotle and Leibniz to Norbert Wiener and Gordon Moore that chart the evolution of computer science. Ideas That Created the Future collects forty-six classic papers in computer science that map the evolution of the field. It covers all aspects of computer science: theory and practice, architectures and algorithms, and logic and software systems, with an emphasis on the period of 1936-1980 but also including important early work. Offering papers by thinkers ranging from Aristotle and Leibniz to Alan Turing and Nobert Wiener, the book documents the discoveries and inventions that created today's digital world. Each paper is accompanied by a brief essay by Harry Lewis, the volume's editor, offering historical and intellectual context. |
| future of computer science: Computing the Future National Research Council, Computer Science and Telecommunications Board, Committee to Assess the Scope and Direction of Computer Science and Technology, 1992-02-01 Computers are increasingly the enabling devices of the information revolution, and computing is becoming ubiquitous in every corner of society, from manufacturing to telecommunications to pharmaceuticals to entertainment. Even more importantly, the face of computing is changing rapidly, as even traditional rivals such as IBM and Apple Computer begin to cooperate and new modes of computing are developed. Computing the Future presents a timely assessment of academic computer science and engineering (CS&E), examining what should be done to ensure continuing progress in making discoveries that will carry computing into the twenty-first century. Most importantly, it advocates a broader research and educational agenda that builds on the field's impressive accomplishments. The volume outlines a framework of priorities for CS&E, along with detailed recommendations for education, funding, and leadership. A core research agenda is outlined for these areas: processors and multiple-processor systems, data communications and networking, software engineering, information storage and retrieval, reliability, and user interfaces. This highly readable volume examines: Computer science and engineering as a discipline-how computer scientists and engineers are pushing back the frontiers of their field. How CS&E must change to meet the challenges of the future. The influence of strategic investment by federal agencies in CS&E research. Recent structural changes that affect the interaction of academic CS&E and the business environment. Specific examples of interdisciplinary and applications research in four areas: earth sciences and the environment, computational biology, commercial computing, and the long-term goal of a national electronic library. The volume provides a detailed look at undergraduate CS&E education, highlighting the limitations of four-year programs, and discusses the emerging importance of a master's degree in CS&E and the prospects for broadening the scope of the Ph.D. It also includes a brief look at continuing education. |
| future of computer science: Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Policy and Global Affairs, Board on Higher Education and Workforce, Committee on the Growth of Computer Science Undergraduate Enrollments, 2018-04-28 The field of computer science (CS) is currently experiencing a surge in undergraduate degree production and course enrollments, which is straining program resources at many institutions and causing concern among faculty and administrators about how best to respond to the rapidly growing demand. There is also significant interest about what this growth will mean for the future of CS programs, the role of computer science in academic institutions, the field as a whole, and U.S. society more broadly. Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments seeks to provide a better understanding of the current trends in computing enrollments in the context of past trends. It examines drivers of the current enrollment surge, relationships between the surge and current and potential gains in diversity in the field, and the potential impacts of responses to the increased demand for computing in higher education, and it considers the likely effects of those responses on students, faculty, and institutions. This report provides recommendations for what institutions of higher education, government agencies, and the private sector can do to respond to the surge and plan for a strong and sustainable future for the field of CS in general, the health of the institutions of higher education, and the prosperity of the nation. |
| future of computer science: The Future Computed , 2018 |
| future of computer science: The Future of Computer Science Research in the U.S. United States. Congress. House. Committee on Science, 2005 |
| future of computer science: Interactivity and the Future of the Human-Computer Interface Isaias, Pedro, Blashki, Katherine, 2020-03-27 The usability and design in technological systems is imperative due to their abundance in numerous professional industries. Computer interfaces have seen significant advancement in their design and development as they have become an integral part of today’s society. As humans continue to interact with technology on a regular basis, it is essential for professionals, professors, and students to keep pace with innovative research on interface design and the various applications interfaces have in professional fields. Interactivity and the Future of the Human-Computer Interface is a collection of innovative research on the development and application of interfaces in today’s modern society and the generational implications for design of human and technology interaction. While highlighting topics including digital gaming, augmented reality, and e-learning, this book is ideally designed for educators, developers, web designers, researchers, technology specialists, scientists, and students seeking current research on modern advancements and applications in human-computer interaction. |
| future of computer science: Nine Algorithms That Changed the Future John MacCormick, 2020-09-15 Nine revolutionary algorithms that power our computers and smartphones Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers, and we use digital signatures to verify the identity of the websites we visit. How do our computers perform these tasks with such ease? John MacCormick answers this question in language anyone can understand, using vivid examples to explain the fundamental tricks behind nine computer algorithms that power our PCs, tablets, and smartphones. |
| future of computer science: Mathematics for Future Computing and Communications Liao Heng, Bill McColl, 2021-12-16 A panorama of new ideas in mathematics that are driving innovation in computing and communications. |
| future of computer science: Technology 2001 Derek Leebaert, 1991 A major contribution to the most important American debate of the 1990s--a 'must read.'Clyde V. Prestowitz, President, Economic Strategy Institute, and author of Trading Places: How We Are Giving Our Future To Japan |
| future of computer science: The Future of Computer Science Research in the U.S. United States. Congress. House. Committee on Science, 2005 |
| future of computer science: AI Margaret A. Boden, 2016-05-19 The applications of Artificial Intelligence lie all around us; in our homes, schools and offices, in our cinemas, in art galleries and - not least - on the Internet. The results of Artificial Intelligence have been invaluable to biologists, psychologists, and linguists in helping to understand the processes of memory, learning, and language from a fresh angle. As a concept, Artificial Intelligence has fuelled and sharpened the philosophical debates concerning the nature of the mind, intelligence, and the uniqueness of human beings. Margaret A. Boden reviews the philosophical and technological challenges raised by Artificial Intelligence, considering whether programs could ever be really intelligent, creative or even conscious, and shows how the pursuit of Artificial Intelligence has helped us to appreciate how human and animal minds are possible. |
| future of computer science: Computer Science National Research Council, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Committee on the Fundamentals of Computer Science: Challenges and Opportunities, 2004-10-06 Computer Science: Reflections on the Field, Reflections from the Field provides a concise characterization of key ideas that lie at the core of computer science (CS) research. The book offers a description of CS research recognizing the richness and diversity of the field. It brings together two dozen essays on diverse aspects of CS research, their motivation and results. By describing in accessible form computer science's intellectual character, and by conveying a sense of its vibrancy through a set of examples, the book aims to prepare readers for what the future might hold and help to inspire CS researchers in its creation. |
| future of computer science: Physics of the Future Michio Kaku, 2011-03-15 NATIONAL BESTSELLER • The renowned theoretical physicist and national bestselling author of The God Equation details the developments in computer technology, artificial intelligence, medicine, space travel, and more, that are poised to happen over the next century. “Mind-bending…. [An] alternately fascinating and frightening book.” —San Francisco Chronicle Space elevators. Internet-enabled contact lenses. Cars that fly by floating on magnetic fields. This is the stuff of science fiction—it’s also daily life in the year 2100. Renowned theoretical physicist Michio Kaku considers how these inventions will affect the world economy, addressing the key questions: Who will have jobs? Which nations will prosper? Kaku interviews three hundred of the world’s top scientists—working in their labs on astonishing prototypes. He also takes into account the rigorous scientific principles that regulate how quickly, how safely, and how far technologies can advance. In Physics of the Future, Kaku forecasts a century of earthshaking advances in technology that could make even the last centuries’ leaps and bounds seem insignificant. |
| future of computer science: The Future Was Here Jimmy Maher, 2012-04-13 Exploring the often-overlooked history and technological innovations of the world's first true multimedia computer. Long ago, in 1985, personal computers came in two general categories: the friendly, childish game machine used for fun (exemplified by Atari and Commodore products); and the boring, beige adult box used for business (exemplified by products from IBM). The game machines became fascinating technical and artistic platforms that were of limited real-world utility. The IBM products were all utility, with little emphasis on aesthetics and no emphasis on fun. Into this bifurcated computing environment came the Commodore Amiga 1000. This personal computer featured a palette of 4,096 colors, unprecedented animation capabilities, four-channel stereo sound, the capacity to run multiple applications simultaneously, a graphical user interface, and powerful processing potential. It was, Jimmy Maher writes in The Future Was Here, the world's first true multimedia personal computer. Maher argues that the Amiga's capacity to store and display color photographs, manipulate video (giving amateurs access to professional tools), and use recordings of real-world sound were the seeds of the digital media future: digital cameras, Photoshop, MP3 players, and even YouTube, Flickr, and the blogosphere. He examines different facets of the platform—from Deluxe Paint to AmigaOS to Cinemaware—in each chapter, creating a portrait of the platform and the communities of practice that surrounded it. Of course, Maher acknowledges, the Amiga was not perfect: the DOS component of the operating systems was clunky and ill-matched, for example, and crashes often accompanied multitasking attempts. And Commodore went bankrupt in 1994. But for a few years, the Amiga's technical qualities were harnessed by engineers, programmers, artists, and others to push back boundaries and transform the culture of computing. |
| future of computer science: Computer Architecture for Scientists Andrew A. Chien, 2022-03-10 The dramatic increase in computer performance has been extraordinary, but not for all computations: it has key limits and structure. Software architects, developers, and even data scientists need to understand how exploit the fundamental structure of computer performance to harness it for future applications. Ideal for upper level undergraduates, Computer Architecture for Scientists covers four key pillars of computer performance and imparts a high-level basis for reasoning with and understanding these concepts: Small is fast – how size scaling drives performance; Implicit parallelism – how a sequential program can be executed faster with parallelism; Dynamic locality – skirting physical limits, by arranging data in a smaller space; Parallelism – increasing performance with teams of workers. These principles and models provide approachable high-level insights and quantitative modelling without distracting low-level detail. Finally, the text covers the GPU and machine-learning accelerators that have become increasingly important for mainstream applications. |
| future of computer science: Product Marketing, Simplified Srini Sekaran, 2020-07-19 A comprehensive guide to product marketing — from messaging to influencing the product roadmap. Learn how to launch products, deliver value to the right customer, and grow your business. Whether you're looking to become a product marketer, a product manager, or an entrepreneur, this is the handbook you need to learn how to deliver value and take a product to market the right way. |
| future of computer science: The Work of the Future David H. Autor, David A. Mindell, Elisabeth Reynolds, 2022-06-21 Why the United States lags behind other industrialized countries in sharing the benefits of innovation with workers and how we can remedy the problem. The United States has too many low-quality, low-wage jobs. Every country has its share, but those in the United States are especially poorly paid and often without benefits. Meanwhile, overall productivity increases steadily and new technology has transformed large parts of the economy, enhancing the skills and paychecks of higher paid knowledge workers. What’s wrong with this picture? Why have so many workers benefited so little from decades of growth? The Work of the Future shows that technology is neither the problem nor the solution. We can build better jobs if we create institutions that leverage technological innovation and also support workers though long cycles of technological transformation. Building on findings from the multiyear MIT Task Force on the Work of the Future, the book argues that we must foster institutional innovations that complement technological change. Skills programs that emphasize work-based and hybrid learning (in person and online), for example, empower workers to become and remain productive in a continuously evolving workplace. Industries fueled by new technology that augments workers can supply good jobs, and federal investment in R&D can help make these industries worker-friendly. We must act to ensure that the labor market of the future offers benefits, opportunity, and a measure of economic security to all. |
| future of computer science: Informatics in the Future Hannes Werthner, Frank van Harmelen, 2017-05-30 This book is open access under a CC BY-NC 4.0 license. This volume discusses the prospects and evolution of informatics (or computer science), which has become the operating system of our world, and is today seen as the science of the information society. Its artifacts change the world and its methods have an impact on how we think about and perceive the world. Classical computer science is built on the notion of an “abstract” machine, which can be instantiated by software to any concrete problem-solving machine, changing its behavior in response to external and internal states, allowing for self-reflective and “intelligent” behavior. However, current phenomena such as the Web, cyber physical systems or the Internet of Things show us that we might already have gone beyond this idea, exemplifying a metamorphosis from a stand-alone calculator to the global operating system of our society. Thus computer scientists will need to reconsider the foundations of their discipline to realize the full potential of our field. Taking often contradictory developments into consideration, researchers will not be able to tackle specific technological or methodological problems in the future without also a broader reflection on their field. The papers in this book take a first step forward and reflect on these issues from different perspectives. The broad spectrum of topics includes Informatics: a discipline with a (short) history and a high impact Interdisciplinarity: how to do research Ethics: what is our responsibility Diversity: why are there so few women in informatics Combining informatics, history and art: a special contribution. This book is intended for all informatics researchers, in academia as well as in industry. It is our responsibility – not only as scientists but also as citizens – to make the public aware of the dichotomies and dialectic relationships of computer science. |
| future of computer science: The Ethical Algorithm Michael Kearns, Aaron Roth, 2020 Algorithms have made our lives more efficient and entertaining--but not without a significant cost. Can we design a better future, one in which societial gains brought about by technology are balanced with the rights of citizens? The Ethical Algorithm offers a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. |
| future of computer science: Science Fiction Prototyping Brian David Johnson, 2011-02-02 Science fiction is the playground of the imagination. If you are interested in science or fascinated with the future then science fiction is where you explore new ideas and let your dreams and nightmares duke it out on the safety of the page or screen. But what if we could use science fiction to do more than that? What if we could use science fiction based on science fact to not only imagine our future but develop new technologies and products? What if we could use stories, movies and comics as a kind of tool to explore the real world implications and uses of future technologies today? Science Fiction Prototyping is a practical guide to using fiction as a way to imagine our future in a whole new way. Filled with history, real world examples and conversations with experts like best selling science fiction author Cory Doctorow, senior editor at Dark Horse Comics Chris Warner and Hollywood science expert Sidney Perkowitz, Science Fiction Prototyping will give you the tools you need to begin designing the future with science fiction. The future is Brian David Johnson’s business. As a futurist at Intel Corporation, his charter is to develop an actionable vision for computing in 2021. His work is called “future casting”—using ethnographic field studies, technology research, trend data, and even science fiction to create a pragmatic vision of consumers and computing. Johnson has been pioneering development in artificial intelligence, robotics, and reinventing TV. He speaks and writes extensively about future technologies in articles and scientific papers as well as science fiction short stories and novels (Fake Plastic Love and Screen Future: The Future of Entertainment, Computing and the Devices We Love). He has directed two feature films and is an illustrator and commissioned painter. Table of Contents: Preface / Foreword / Epilogue / Dedication / Acknowledgments / 1. The Future Is in Your Hands / 2. Religious Robots and Runaway Were-Tigers: A Brief Overview of the Science and the Fiction that Went Into Two SF Prototypes / 3. How to Build Your Own SF Prototype in Five Steps or Less / 4. I, Robot: From Asimov to Doctorow: Exploring Short Fiction as an SF Prototype and a Conversation With Cory Doctorow / 5. The Men in the Moon: Exploring Movies as an SF Prototype and a Conversation with Sidney Perkowitz / 6. Science in the Gutters: Exploring Comics as an SF Prototype and a Conversation With Chris Warner / 7. Making the Future: Now that You Have Developed Your SF Prototype, What’s Next? / 8. Einstein’s Thought Experiments and Asimov’s Second Dream / Appendix A: The SF Prototypes / Notes / Author Biography |
| future of computer science: Analyzing Future Applications of AI, Sensors, and Robotics in Society Thomas Heinrich Musiolik, Adrian David Cheok, 2020 This book explores the future challenges and hidden potentials of the application of artificial intelligence, sensors, and robotics in society-- |
| future of computer science: Future Communication, Information and Computer Science Dawei Zheng, 2015-02-05 The 2014 International Conference on Future Communication, Information and Computer Science (FCICS 2014) was held May 22-23, 2014 in Beijing, China. The objective of FCICS 2014 was to provide a platform for researchers, engineers and academics as well as industrial professionals from all over the world to present their research results and development activities in Computer, Network and Information Technology and Communication Engineering. |
| future of computer science: Past, Present and Future of Computing Education Research Mikko Apiola, Sonsoles López-Pernas, Mohammed Saqr, 2023-04-17 This book presents a collection of meta-studies, reviews, and scientometric analyses that together reveal a fresh picture about the past, present, and future of computing education research (CER) as a field of science. The book begins with three chapters that discuss and summarise meta-research about the foundations of CER, its disciplinary identity, and use of research methodologies and theories. Based on this, the book proceeds with several scientometric analyses, which explore authors and their collaboration networks, dissemination practices, international collaboration, and shifts in research focus over the years. Analyses of dissemination are deepened in two chapters that focus on some of the most influential publication venues of CER. The book also contains a series of country-, or region-level analyses, including chapters that focus on the evolution of CER in the Baltic Region, Finland, Australasia, Israel, and in the UK & Ireland. Two chapters present case studies of influential CER initiatives in Sweden and Namibia. This book also includes chapters that focus on CER conducted at school level, and cover crucially important issues such as technology ethics, algorithmic bias, and their implications for CER.In all, this book contributes to building an understanding of the past, present and future of CER. This book also contributes new practical guidelines, highlights topical areas of research, shows who to connect with, where to publish, and gives ideas of innovative research niches. The book takes a unique methodological approach by presenting a combination of meta-studies, scientometric analyses of publication metadata, and large-scale studies about the evolution of CER in different geographical regions. This book is intended for educational practitioners, researchers, students, and anyone interested in CER. This book was written in collaboration with some of the leading experts of the field. |
| future of computer science: Structure and Interpretation of Computer Programs Harold Abelson, Gerald Jay Sussman, 2022-05-03 A new version of the classic and widely used text adapted for the JavaScript programming language. Since the publication of its first edition in 1984 and its second edition in 1996, Structure and Interpretation of Computer Programs (SICP) has influenced computer science curricula around the world. Widely adopted as a textbook, the book has its origins in a popular entry-level computer science course taught by Harold Abelson and Gerald Jay Sussman at MIT. SICP introduces the reader to central ideas of computation by establishing a series of mental models for computation. Earlier editions used the programming language Scheme in their program examples. This new version of the second edition has been adapted for JavaScript. The first three chapters of SICP cover programming concepts that are common to all modern high-level programming languages. Chapters four and five, which used Scheme to formulate language processors for Scheme, required significant revision. Chapter four offers new material, in particular an introduction to the notion of program parsing. The evaluator and compiler in chapter five introduce a subtle stack discipline to support return statements (a prominent feature of statement-oriented languages) without sacrificing tail recursion. The JavaScript programs included in the book run in any implementation of the language that complies with the ECMAScript 2020 specification, using the JavaScript package sicp provided by the MIT Press website. |
| future of computer science: Shaping the Future Through Standardization Jakobs, Kai, 2019-12-27 Quality assurance is an essential aspect for ensuring the success of corporations worldwide. Consistent quality requirements across organizations of similar types ensure that these requirements can be accurately and easily evaluated. Shaping the Future Through Standardization is an essential scholarly book that examines quality and standardization within diverse organizations globally with a special focus on future perspectives, including how standards and standardization may shape the future. Featuring a wide range of topics such as economics, pedagogy, and management, this book is ideal for academicians, researchers, decision makers, policymakers, managers, corporate professionals, and students. |
| future of computer science: Algorithms to Live By Brian Christian, Tom Griffiths, 2016-04-19 'Algorithms to Live By' looks at the simple, precise algorithms that computers use to solve the complex 'human' problems that we face, and discovers what they can tell us about the nature and origin of the mind. |
| future of computer science: Professional Practice in Engineering and Computing Riadh Habash, 2019-03-18 This book has been developed with an intellectual framework to focus on the challenges and specific qualities applicable to graduates on the threshold of their careers. Young professionals have to establish their competence in complying with multifaceted sets of ethical, environmental, social, and technological parameters. This competence has a vital impact on the curricula of higher education programs, because professional bodies today rely on accredited degrees as the main route for membership. Consequently, this four-part book makes a suitable resource for a two-semester undergraduate course in professional practice and career development in universities and colleges. With its comprehensive coverage of a large variety of topics, each part of the book can be used as a reference for other related courses where sustainability, leadership, systems thinking and professional practice are evident and increasingly visible. Features Identifies the values that are unique to the engineering and computing professions, and promotes a general understanding of what it means to be a member of a profession Explains how ethical and legal considerations play a role in engineering practice Discusses the importance of professional communication and reflective practice to a range of audiences Presents the practices of leadership, innovation, entrepreneurship, safety and sustainability in engineering design Analyzes and discusses the contemporary practices of project management, artificial intelligence, and professional career development. |
| future of computer science: Future Computer and Information Systems Akira Ishikawa, 1986-07-16 The development of computer technology, particularly the work of the Fifth Generation Computer Project of Japan, will have far-reaching international implications. The author explores the uses of the new generation computer and information systems now under development in Japan by identifying their application, assessing their impact on society, and envisioning the transition to the future. |
| future of computer science: The Future of Software Derek Leebaert, 1996 Continuing the trend-watching of Technology 2001, which discussed the technologies that could well define the computing and communications environment that lies ahead, The Future of Software assembles the observations of leading computer scientists, strategists, and planners in both business and academia, this time tackling software development. Despite the extraordinary advances during the past few years in computing power, Derek Leebaert and the other contributors see as the biggest challenge for the future the development of software that can fully exploit the the computer's ever-increasing capabilities. Each author addresses the particular aspect of software that is his or her specialty, examining how various developments and applications will transform the way we think about and use comptuters as we enter the next millennium. The topics include the history and evolution of software, the future of software and how it will change the way we live, software standardization, work group computing, computer supported collaboration, end-user programming, natural language and natural- intelligence capabilities and limitations, the Japanese software industry, software and the law, and the coordination of knowledge. |
| future of computer science: The Singularity Is Near Ray Kurzweil, 2005-09-22 NEW YORK TIMES BESTSELLER • Celebrated futurist Ray Kurzweil, hailed by Bill Gates as “the best person I know at predicting the future of artificial intelligence,” presents an “elaborate, smart, and persuasive” (The Boston Globe) view of the future course of human development. “Artfully envisions a breathtakingly better world.”—Los Angeles Times “Startling in scope and bravado.”—Janet Maslin, The New York Times “An important book.”—The Philadelphia Inquirer At the onset of the twenty-first century, humanity stands on the verge of the most transforming and thrilling period in its history. It will be an era in which the very nature of what it means to be human will be both enriched and challenged as our species breaks the shackles of its genetic legacy and achieves inconceivable heights of intelligence, material progress, and longevity. While the social and philosophical ramifications of these changes will be profound, and the threats they pose considerable, The Singularity Is Near presents a radical and optimistic view of the coming age that is both a dramatic culmination of centuries of technological ingenuity and a genuinely inspiring vision of our ultimate destiny. |
| future of computer science: 21st Century Skills Bernie Trilling, Charles Fadel, 2012-02-07 This important resource introduces a framework for 21st Century learning that maps out the skills needed to survive and thrive in a complex and connected world. 21st Century content includes the basic core subjects of reading, writing, and arithmetic-but also emphasizes global awareness, financial/economic literacy, and health issues. The skills fall into three categories: learning and innovations skills; digital literacy skills; and life and career skills. This book is filled with vignettes, international examples, and classroom samples that help illustrate the framework and provide an exciting view of twenty-first century teaching and learning. Explores the three main categories of 21st Century Skills: learning and innovations skills; digital literacy skills; and life and career skills Addresses timely issues such as the rapid advance of technology and increased economic competition Based on a framework developed by the Partnership for 21st Century Skills (P21) The book contains a video with clips of classroom teaching. For more information on the book visit www.21stcenturyskillsbook.com. |
| future of computer science: Applications of Artificial Neural Networks for Nonlinear Data Patel, Hiral Ashil, Kumar, A.V. Senthil, 2020-09-25 Processing information and analyzing data efficiently and effectively is crucial for any company that wishes to stay competitive in its respective market. Nonlinear data presents new challenges to organizations, however, due to its complexity and unpredictability. The only technology that can properly handle this form of data is artificial neural networks. These modeling systems present a high level of benefits in analyzing complex data in a proficient manner, yet considerable research on the specific applications of these intelligent components is significantly deficient. Applications of Artificial Neural Networks for Nonlinear Data is a collection of innovative research on the contemporary nature of artificial neural networks and their specific implementations within data analysis. While highlighting topics including propagation functions, optimization techniques, and learning methodologies, this book is ideally designed for researchers, statisticians, academicians, developers, scientists, practitioners, students, and educators seeking current research on the use of artificial neural networks in diagnosing and solving nonparametric problems. |
| future of computer science: Heart of the Machine Richard Yonck, 2020-02-11 For Readers of Ray Kurzweil and Michio Kaku, a New Look at the Cutting Edge of Artificial Intelligence Imagine a robotic stuffed animal that can read and respond to a child’s emotional state, a commercial that can recognize and change based on a customer’s facial expression, or a company that can actually create feelings as though a person were experiencing them naturally. Heart of the Machine explores the next giant step in the relationship between humans and technology: the ability of computers to recognize, respond to, and even replicate emotions. Computers have long been integral to our lives, and their advances continue at an exponential rate. Many believe that artificial intelligence equal or superior to human intelligence will happen in the not-too-distance future; some even think machine consciousness will follow. Futurist Richard Yonck argues that emotion, the first, most basic, and most natural form of communication, is at the heart of how we will soon work with and use computers. Instilling emotions into computers is the next leap in our centuries-old obsession with creating machines that replicate humans. But for every benefit this progress may bring to our lives, there is a possible pitfall. Emotion recognition could lead to advanced surveillance, and the same technology that can manipulate our feelings could become a method of mass control. And, as shown in movies like Her and Ex Machina, our society already holds a deep-seated anxiety about what might happen if machines could actually feel and break free from our control. Heart of the Machine is an exploration of the new and inevitable ways in which mankind and technology will interact. The paperback edition has a new foreword by Rana el Kaliouby, PhD, a pioneer in artificial emotional intelligence, as well as the cofounder and CEO of Affectiva, the acclaimed AI startup spun off from the MIT Media Lab. |
| future of computer science: The Fourth Industrial Revolution Klaus Schwab, 2017-01-03 World-renowned economist Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolution, which will fundamentally alter how we live and work. Schwab argues that this revolution is different in scale, scope and complexity from any that have come before. Characterized by a range of new technologies that are fusing the physical, digital and biological worlds, the developments are affecting all disciplines, economies, industries and governments, and even challenging ideas about what it means to be human. Artificial intelligence is already all around us, from supercomputers, drones and virtual assistants to 3D printing, DNA sequencing, smart thermostats, wearable sensors and microchips smaller than a grain of sand. But this is just the beginning: nanomaterials 200 times stronger than steel and a million times thinner than a strand of hair and the first transplant of a 3D printed liver are already in development. Imagine “smart factories” in which global systems of manufacturing are coordinated virtually, or implantable mobile phones made of biosynthetic materials. The fourth industrial revolution, says Schwab, is more significant, and its ramifications more profound, than in any prior period of human history. He outlines the key technologies driving this revolution and discusses the major impacts expected on government, business, civil society and individuals. Schwab also offers bold ideas on how to harness these changes and shape a better future—one in which technology empowers people rather than replaces them; progress serves society rather than disrupts it; and in which innovators respect moral and ethical boundaries rather than cross them. We all have the opportunity to contribute to developing new frameworks that advance progress. |
| future of computer science: Human-Centered AI Ben Shneiderman, 2022 The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity. |
| future of computer science: The Future of Humanity Michio Kaku, 2018-02-20 NEW YORK TIMES BESTSELLER • The national bestselling author of The God Equation traverses the frontiers of astrophysics, artificial intelligence, and technology to offer a stunning vision of man's future in space, from settling Mars to traveling to distant galaxies. “Amazing … Kaku is in smooth perfect control of it the entire time.” —The Christian Science Monitor We are entering a new Golden Age of space exploration. With irrepressible enthusiasm and a deep understanding of the cutting-edge research in space travel, world-renowned physicist and futurist Dr. Michio Kaku presents a compelling vision of how humanity may develop a sustainable civilization in outer space. He reveals the developments in robotics, nanotechnology, and biotechnology that may allow us to terraform and build habitable cities on Mars and beyond. He then journeys out of our solar system and discusses how new technologies such as nanoships, laser sails, and fusion rockets may actually make interstellar travel a possibility. We travel beyond our galaxy, and even beyond our universe, as Kaku investigates some of the hottest topics in science today, including warp drive, wormholes, hyperspace, parallel universes, and the multiverse. Ultimately, he shows us how humans may someday achieve a form of immortality and be able to leave our bodies entirely, laser porting to new havens in space. |
| future of computer science: Software Design for Flexibility Chris Hanson, Gerald Jay Sussman, 2021-03-09 Strategies for building large systems that can be easily adapted for new situations with only minor programming modifications. Time pressures encourage programmers to write code that works well for a narrow purpose, with no room to grow. But the best systems are evolvable; they can be adapted for new situations by adding code, rather than changing the existing code. The authors describe techniques they have found effective--over their combined 100-plus years of programming experience--that will help programmers avoid programming themselves into corners. The authors explore ways to enhance flexibility by: Organizing systems using combinators to compose mix-and-match parts, ranging from small functions to whole arithmetics, with standardized interfaces Augmenting data with independent annotation layers, such as units of measurement or provenance Combining independent pieces of partial information using unification or propagation Separating control structure from problem domain with domain models, rule systems and pattern matching, propagation, and dependency-directed backtracking Extending the programming language, using dynamically extensible evaluators |
| future of computer science: A to Z Computer Science Activity Book Sakina Fakhruddin, 2020-05-25 An awesome and fascinating introduction to computer science concepts, one letter at a time!The Computer Science A to Z Activity Book introduces kids (and adults) to coding and computer science vocabulary, from letter A to Z. Explore the collection of fun, engaging and innovative activities in this book and learn the basics of programming and computer science! On every page, you will find a brief description of the word mentioned and a fun activity with it. You will learn about how the Internet works, algorithms, and also learn about people like Grace Hopper, Tim Berners-Lee and more. This book has places for you to draw and color, word searches, and a ton of other awesome stuff! Draw a flowchart for baking a cookie, learn sorting using playing cards, debug some code, and HAVE FUN! |
| future of computer science: Hackers & Painters Paul Graham, 2004-05-18 The author examines issues such as the rightness of web-based applications, the programming language renaissance, spam filtering, the Open Source Movement, Internet startups and more. He also tells important stories about the kinds of people behind technical innovations, revealing their character and their craft. |
| future of computer science: Artificial Intelligence with Python Prateek Joshi, 2017-01-27 Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application. |
The Future of Computer Science - Soundarajan
Dec 5, 2010 · Abstract Computer science is undergoing a fundamental change and is reshaping our un-derstanding of the world. An important aspect of this change is the theory and …
SIAM Task Force Report: The Future of COMPUTATIONAL …
Computational science is the discipline focused on the development and use of mathematics and computing to support and advance the frontiers of science and engineering. Driven by …
The Future of Computer Science Profession - ResearchGate
Computer science is the fastest-growing industry, and it is projected to be the second-largest job sector in 2022. It's also a lucrative field that pays well and has low unemployment rates.
Computer Science: Past, Present, and Future - University of …
“Computers in the future may weigh no more than 1.5 tons” – Popular Science, 1949 This sort of progress makes it dicey to predict the future “There is no reason anyone would want a …
Future Great Ideas in Computer Science - Stanford University
Computer Science is a terrifically young field, but we have already come a long way. The fact that computers themselves have aided us in creating and discovering more ideas about …
Analysis of Current and Future Computer Science Needs via
We analyzed ads from 423 institutions seeking to fill 865 tenure-track faculty positions in Computer Science. The number of institutions is a drop from last year’s record number year at …
2011 International Conference on Future Computer Sciences …
Hong Kong, China 18 – 19 June 2011 IEEE Catalog Number: ISBN: CFP1104P-PRT 978-1-4577-0317-1 2011 International Conference on Future Computer Sciences and
The Future of Computer Science - Springer
microcircuit technology have enabled computer speed and size to grow in an astounding way, confronting workers in the field with a continually widening range of opportunities.
Technology Predictions 24 - Computer
• Predicting the future can be useful, powerful, and fun. • Predictions are essential in business, military, healthcare, and many other areas, particularly when it comes to critical infrastructures. …
Future directions in computer science research - Semantic …
This is an exciting time for computer science. There is a wealth of data in digital format, information from sensors, and social networks to explore. It is important to develop the science …
The Future of Computing and Artificial Intelligence (AI)
Jan 8, 2017 · The odd of that computer being an aluminum clamshell is nil. Understanding this transformation is key. It explains why Alphabet, Microsoft and Amazon are betting their future …
Future Directions for Selected Topics in Computer Science
Oct 24, 2017 · advances in the field of computer science over the past decade. Areas of discussion include: • Parallel Computing: including many-core processors that will bring …
Mapping Computer Science Research: Trends, Influences, and …
Our research bridges these gaps by expanding the current state-of-the-art knowledge and gaining a broader understanding of the diverse trends within the domain of Computer Science.
Perspectives on the Past, Present, and Future in Computer …
Included will be perspectives of the history of the past, specific needs of the present, and general direc-tions and predictions of the future, and the implications to academia, business, and other …
Analysis of Current and Future Computer Science Needs via …
We analyzed ads from 347 institutions seeking to fill hundreds of tenure-track faculty po-sitions in Computer Science. There is a 30% one-year (and 56% two-year) increase in the number of …
ChatGPT and the Future of Undergraduate Computer Science: …
This research paper aims to analyze the risks, challenges, and opportunities associated with the utilization of ChatGPT, an AI language model created by OpenAI, as an educational tool in the …
Analysis of Current and Future Computer Science Needs via
We analyzed ads from 235 institutions seeking to fill hundreds of tenure-track faculty po-sitions in Computer Science. This number is a 40% decrease from last year at this time (mid-November) …
World Journal on Educational Technology: Current Issues
future computer sciences teachers to create electronic educational resources, to determine the levels of readiness of future computer sciences teachers to develop EER. The educational …
Analysis of Current and Future Computer Science Needs via
We analyzed ads from 437 institutions seeking to fill close to 1000 tenure-track faculty positions in Computer Science. The number of institutions is a 9% increase from last year at this time (mid …
Analysis of Current and Future Computer Science Needs via …
We analyzed ads from 406 institutions seeking to fill hundreds of tenure-track faculty posi-tions in Computer Science.
The Future of Computer Science - Soundarajan
Dec 5, 2010 · Abstract Computer science is undergoing a fundamental change and is reshaping our un-derstanding of the world. An important aspect of this change is the theory and …
SIAM Task Force Report: The Future of COMPUTATIONAL …
Computational science is the discipline focused on the development and use of mathematics and computing to support and advance the frontiers of science and engineering. Driven by …
The Future of Computer Science Profession - ResearchGate
Computer science is the fastest-growing industry, and it is projected to be the second-largest job sector in 2022. It's also a lucrative field that pays well and has low unemployment rates.
Computer Science: Past, Present, and Future - University of …
“Computers in the future may weigh no more than 1.5 tons” – Popular Science, 1949 This sort of progress makes it dicey to predict the future “There is no reason anyone would want a …
Future Great Ideas in Computer Science - Stanford University
Computer Science is a terrifically young field, but we have already come a long way. The fact that computers themselves have aided us in creating and discovering more ideas about …
Analysis of Current and Future Computer Science Needs via …
We analyzed ads from 423 institutions seeking to fill 865 tenure-track faculty positions in Computer Science. The number of institutions is a drop from last year’s record number year at …
2011 International Conference on Future Computer Sciences …
Hong Kong, China 18 – 19 June 2011 IEEE Catalog Number: ISBN: CFP1104P-PRT 978-1-4577-0317-1 2011 International Conference on Future Computer Sciences and
The Future of Computer Science - Springer
microcircuit technology have enabled computer speed and size to grow in an astounding way, confronting workers in the field with a continually widening range of opportunities.
Technology Predictions 24 - Computer
• Predicting the future can be useful, powerful, and fun. • Predictions are essential in business, military, healthcare, and many other areas, particularly when it comes to critical infrastructures. …
Future directions in computer science research - Semantic …
This is an exciting time for computer science. There is a wealth of data in digital format, information from sensors, and social networks to explore. It is important to develop the science …
The Future of Computing and Artificial Intelligence (AI)
Jan 8, 2017 · The odd of that computer being an aluminum clamshell is nil. Understanding this transformation is key. It explains why Alphabet, Microsoft and Amazon are betting their future …
Future Directions for Selected Topics in Computer Science
Oct 24, 2017 · advances in the field of computer science over the past decade. Areas of discussion include: • Parallel Computing: including many-core processors that will bring …
Mapping Computer Science Research: Trends, Influences, …
Our research bridges these gaps by expanding the current state-of-the-art knowledge and gaining a broader understanding of the diverse trends within the domain of Computer Science.
Perspectives on the Past, Present, and Future in Computer …
Included will be perspectives of the history of the past, specific needs of the present, and general direc-tions and predictions of the future, and the implications to academia, business, and other …
Analysis of Current and Future Computer Science Needs via …
We analyzed ads from 347 institutions seeking to fill hundreds of tenure-track faculty po-sitions in Computer Science. There is a 30% one-year (and 56% two-year) increase in the number of …
ChatGPT and the Future of Undergraduate Computer …
This research paper aims to analyze the risks, challenges, and opportunities associated with the utilization of ChatGPT, an AI language model created by OpenAI, as an educational tool in the …
Analysis of Current and Future Computer Science Needs via …
We analyzed ads from 235 institutions seeking to fill hundreds of tenure-track faculty po-sitions in Computer Science. This number is a 40% decrease from last year at this time (mid-November) …
World Journal on Educational Technology: Current Issues
future computer sciences teachers to create electronic educational resources, to determine the levels of readiness of future computer sciences teachers to develop EER. The educational …
Analysis of Current and Future Computer Science Needs via …
We analyzed ads from 437 institutions seeking to fill close to 1000 tenure-track faculty positions in Computer Science. The number of institutions is a 9% increase from last year at this time (mid …
Analysis of Current and Future Computer Science Needs via …
We analyzed ads from 406 institutions seeking to fill hundreds of tenure-track faculty posi-tions in Computer Science.
