Download or read book Artificial Neural Networks and Machine Learning ICANN 2012 written by Alessandro Villa and published by Springer. This book was released on 2012-09-19 with total page 763 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 7552 + 7553 constitutes the proceedings of the 22nd International Conference on Artificial Neural Networks, ICANN 2012, held in Lausanne, Switzerland, in September 2012. The 162 papers included in the proceedings were carefully reviewed and selected from 247 submissions. They are organized in topical sections named: theoretical neural computation; information and optimization; from neurons to neuromorphism; spiking dynamics; from single neurons to networks; complex firing patterns; movement and motion; from sensation to perception; object and face recognition; reinforcement learning; bayesian and echo state networks; recurrent neural networks and reservoir computing; coding architectures; interacting with the brain; swarm intelligence and decision-making; mulitlayer perceptrons and kernel networks; training and learning; inference and recognition; support vector machines; self-organizing maps and clustering; clustering, mining and exploratory analysis; bioinformatics; and time weries and forecasting.

Download or read book Silicon Literacies written by Ilana Snyder and published by Routledge. This book was released on 2005-06-29 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electronic communication is radically altering literacy practices. Silicon Literacies unravels the key features of the new communication order to explore the social, cultural and educational impact of silicon literacy practices. Written by leading international scholars from a range of disciplines, the essays in this collection examine the implications of text produced on a keyboard, visible on a screen and transmitted through a global network of computers. The book covers topics as diverse as role-playing in computer games, the use of graphic symbols in on-screen texts and Internet degree programmes to reveal that being literate is to do with understanding how different modalities combine to create meaning. Recognizing that reading and writing are only part of what people have to learn to be literate, the contributors enhance our understanding of the ways in which the use of new technologies influence, shape and sometimes transform literacy practices.

Download or read book Silicon From the Invention of the Microprocessor to the New Science of Consciousness written by Federico Faggin and published by Waterside Productions. This book was released on 2021-02-08 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: "As soon as she heard me enter, Elvia awoke from a light sleep that had overcome her as she anxiously waited: 'How did it go?' Excited, I exclaimed: 'It works!' We embraced, almost overwhelmed with feelings of euphoria and happiness, aware that something epochal had happened. On that cold January night of 1971, the world's first microprocessor was born!" The creation of the microprocessor launched the digital age. The key technology allowing unprecedented integration, and the design of the world's first microprocessor, the Intel 4004, were the achievement of Federico Faggin. Shrinking an entire computer onto a tiny and inexpensive piece of silicon would come to define our daily lives, imbuing myriad devices and everyday objects with computational intelligence. In Silicon, internationally recognized inventor and entrepreneur Federico Faggin chronicles his "four lives" his formative years in war-torn Northern Italy; his pioneering work in American microelectronics; his successful career as a high-tech entrepreneur; and his more recent explorations into the mysteries of consciousness. In this heartfelt memoir, Faggin paints vivid anecdotes, steps readers through society-changing technological breakthroughs, and shares personal insights, as each of his lives propels the next.

Download or read book Higher Education and Silicon Valley written by W. Richard Scott and published by JHU Press. This book was released on 2017-09-01 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: A data-rich study of the difficult partnerships between the colleges, universities, and businesses of Silicon Valley. Universities and colleges often operate between two worlds: higher education and economic systems. With a mission rooted in research, teaching, and public service, institutions of higher learning are also economic drivers in their regions, under increasing pressure to provide skilled workers to local companies. It is impossible to understand how current developments are affecting colleges without attending to the changes in both the higher education system and in the economic communities in which they exist. W. Richard Scott, Michael W. Kirst, and colleagues focus on the changing relations between colleges and companies in one vibrant economic region: the San Francisco Bay Area. Colleges and tech companies, they argue, have a common interest in knowledge generation and human capital, but they operate in social worlds that substantially differ, making them uneasy partners. Colleges are a part of a long tradition that stresses the importance of precedent, academic values, and liberal education. High-tech companies, by contrast, value innovation and know-how, and they operate under conditions that reward rapid response to changing opportunities. The economy is changing faster than the postsecondary education system. Drawing on quantitative and historical data from 1970 to 2012 as well as 14 case studies of colleges, this book describes a rich and often tense relationship between higher education and the tech industry. It focuses on the ways in which various types of colleges have endeavored—and often failed—to meet the demands of a vibrant economy and concludes with a discussion of current policy recommendations, suggestions for improvements and reforms at the state level, and a proposal to develop a regional body to better align educational and economic development.

Download or read book Silicon Photonics for High Performance Computing and Beyond written by Mahdi Nikdast and published by CRC Press. This book was released on 2021-11-16 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Silicon photonics is beginning to play an important role in driving innovations in communication and computation for an increasing number of applications, from health care and biomedical sensors to autonomous driving, datacenter networking, and security. In recent years, there has been a significant amount of effort in industry and academia to innovate, design, develop, analyze, optimize, and fabricate systems employing silicon photonics, shaping the future of not only Datacom and telecom technology but also high-performance computing and emerging computing paradigms, such as optical computing and artificial intelligence. Different from existing books in this area, Silicon Photonics for High-Performance Computing and Beyond presents a comprehensive overview of the current state-of-the-art technology and research achievements in applying silicon photonics for communication and computation. It focuses on various design, development, and integration challenges, reviews the latest advances spanning materials, devices, circuits, systems, and applications. Technical topics discussed in the book include: • Requirements and the latest advances in high-performance computing systems • Device- and system-level challenges and latest improvements to deploy silicon photonics in computing systems • Novel design solutions and design automation techniques for silicon photonic integrated circuits • Novel materials, devices, and photonic integrated circuits on silicon • Emerging computing technologies and applications based on silicon photonics Silicon Photonics for High-Performance Computing and Beyond presents a compilation of 19 outstanding contributions from academic and industry pioneers in the field. The selected contributions present insightful discussions and innovative approaches to understand current and future bottlenecks in high-performance computing systems and traditional computing platforms, and the promise of silicon photonics to address those challenges. It is ideal for researchers and engineers working in the photonics, electrical, and computer engineering industries as well as academic researchers and graduate students (M.S. and Ph.D.) in computer science and engineering, electronic and electrical engineering, applied physics, photonics, and optics.

Download or read book Objectives Key Results OKR Leadership written by Doug Gray and published by . This book was released on 2019-11-07 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: OKR Leadership -- the process for managers and leaders to practice what matters - is the secret sauce that drives transformational leadership, employee engagement and the next generation of management consulting. Join the OKR Leadership movement today with this practical guidebook from an expert business psychologist and story teller.

Download or read book Neuromorphic Systems Engineering written by Tor Sverre Lande and published by Springer Science & Business Media. This book was released on 1998-04-30 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuromorphic Systems Engineering: Neural Networks in Silicon emphasizes three important aspects of this exciting new research field. The term neuromorphic expresses relations to computational models found in biological neural systems, which are used as inspiration for building large electronic systems in silicon. By adequate engineering, these silicon systems are made useful to mankind. Neuromorphic Systems Engineering: Neural Networks in Silicon provides the reader with a snapshot of neuromorphic engineering today. It is organized into five parts viewing state-of-the-art developments within neuromorphic engineering from different perspectives. Neuromorphic Systems Engineering: Neural Networks in Silicon provides the first collection of neuromorphic systems descriptions with firm foundations in silicon. Topics presented include: large scale analog systems in silicon neuromorphic silicon auditory (ear) and vision (eye) systems in silicon learning and adaptation in silicon merging biology and technology micropower analog circuit design analog memory analog interchipcommunication on digital buses £/LIST£ Neuromorphic Systems Engineering: Neural Networks in Silicon serves as an excellent resource for scientists, researchers and engineers in this emerging field, and may also be used as a text for advanced courses on the subject.

Download or read book Higher Education and Silicon Valley written by W. Richard Scott and published by JHU Press. This book was released on 2017-09 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Universities and colleges often operate between two worlds: higher education and economic systems. It is impossible to understand how current developments are affecting colleges without attending to the changes in both the higher education system and in the economic communities in which they exist. W. Richard Scott, Michael W. Kirst, and colleagues focus on the changing relations between colleges and companies in one vibrant economic region: the San Francisco Bay Area. Colleges and tech companies, they argue, have a common interest in knowledge generation and human capital, but they operate in social worlds that substantially differ, making them uneasy partners. Colleges are a part of a long tradition that stresses the importance of precedent, academic values, and liberal education. High-tech companies, by contrast, value innovation and know-how, and they operate under conditions that reward rapid response to changing opportunities. The economy is changing faster than the postsecondary education system." -- From the cover.

Download or read book Secrets of Silicon Valley written by Deborah Perry Piscione and published by St. Martin's Press. This book was released on 2013-04-02 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: While the global economy languishes, one place just keeps growing despite failing banks, uncertain markets, and high unemployment: Silicon Valley. In the last two years, more than 100 incubators have popped up there, and the number of angel investors has skyrocketed. Today, 40 percent of all venture capital investments in the United States come from Silicon Valley firms, compared to 10 percent from New York. In Secrets of Silicon Valley, entrepreneur and media commentator Deborah Perry Piscione takes us inside this vibrant ecosystem where meritocracy rules the day. She explores Silicon Valley's exceptionally risk-tolerant culture, and why it thrives despite the many laws that make California one of the worst states in the union for business. Drawing on interviews with investors, entrepreneurs, and community leaders, as well as a host of case studies from Google to Paypal, Piscione argues that Silicon Valley's unique culture is the best hope for the future of American prosperity and the global business community and offers lessons from the Valley to inspire reform in other communities and industries, from Washington, DC to Wall Street.

Download or read book Embedded Deep Learning written by Bert Moons and published by Springer. This book was released on 2018-10-23 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers algorithmic and hardware implementation techniques to enable embedded deep learning. The authors describe synergetic design approaches on the application-, algorithmic-, computer architecture-, and circuit-level that will help in achieving the goal of reducing the computational cost of deep learning algorithms. The impact of these techniques is displayed in four silicon prototypes for embedded deep learning. Gives a wide overview of a series of effective solutions for energy-efficient neural networks on battery constrained wearable devices; Discusses the optimization of neural networks for embedded deployment on all levels of the design hierarchy – applications, algorithms, hardware architectures, and circuits – supported by real silicon prototypes; Elaborates on how to design efficient Convolutional Neural Network processors, exploiting parallelism and data-reuse, sparse operations, and low-precision computations; Supports the introduced theory and design concepts by four real silicon prototypes. The physical realization’s implementation and achieved performances are discussed elaborately to illustrated and highlight the introduced cross-layer design concepts.

Download or read book The Wiley Handbook of Global Educational Reform written by Kenneth J. Saltman and published by John Wiley & Sons. This book was released on 2018-08-30 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Wiley Handbook of Global Educational Reform examines educational reform from a global perspective. Comprised of approximately 25 original and specially commissioned essays, which together interrogate educational reform from a critical global and transnational perspective, this volume explores a range of topics and themes that fully investigate global convergences in educational reform policies, ideologies, and practices. The Handbook probes the history, ideology, organization, and institutional foundations of global educational reform movements; actors, institutions, and agendas; and local, national, and global education reform trends. It further examines the “new managerialism” in global educational reform, including the standardization of national systems of educational governance, curriculum, teaching, and learning through the rise of new systems of privatization, accountability, audit, big-data, learning analytics, biometrics, and new technology-driven adaptive learning models. Finally, it takes on the subjective and intersubjective experiential dimensions of the new educational reforms and alternative paths for educational reform tied to the ethical imperative to reimagine education for human flourishing, justice, and equality. An authoritative, definitive volume and the first global take on a subject that is grabbing headlines as well as preoccupying policy makers, scholars, and teachers around the world Edited by distinguished leaders in the field Features contributions from an illustrious list of experts and scholars The Wiley Handbook of Global Educational Reform will be of great interest to scholars and graduate students of education throughout the world as well as the policy makers who can institute change.

Download or read book Practical Deep Learning for Cloud Mobile and Edge written by Anirudh Koul and published by "O'Reilly Media, Inc.". This book was released on 2019-10-14 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow Lite Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral Explore fun projects, from Silicon Valley’s Not Hotdog app to 40+ industry case studies Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning Use transfer learning to train models in minutes Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users

Download or read book The Silicon Road to Chess Improvement written by Matthew Sadler and published by New In Chess. This book was released on 2021-11-13 with total page 982 pages. Available in PDF, EPUB and Kindle. Book excerpt: ‘How can I learn from AlphaZero’s games, aren’t they too advanced for me?’ many club players asked Matthew Sadler after reading his and Natasha Regan’s groundbreaking Game Changer. Here is the answer: you may not be able to replicate their dazzling deep calculations, but every chess player, from club level up, can improve their game by using engines. You will probably be surprised, there is so much more your engine can do for you than just checking and calculating variations! In this thought-provoking new book, based on many years of working with the world’s best chess software, Sadler presents a unique set of methods to work out using your engine. He shows how in your opening preparation, instead of sifting through masses of computer analysis you should play matches against your engine. He also explains how to train your early middlegame play, the conversion of advantages, your positional play, and your defence. And of course: how to analyse your own games. These generic training methods Sadler supplements with concrete middlegame and opening tools. He explains how the top engines tackle crucial middlegame themes such as entrenched pieces, whole board play, ‘attacking rhythm’, exchanging pieces, the march of the Rook’s pawn, queen versus pieces, and many others. He also opens your eyes to typical scenarios that the engines found and fine-tuned in popular openings such as the King’s Indian, the Grünfeld, the Slav, the French and the Sicilian. Sadler illustrates his lessons with a collection of fantastic games, explained with his trademark enthusiasm. For the first time the superhuman powers of the chess engine have been decoded to the benefit of all players, in a rich and highly instructive book.

Download or read book Policy Learning and Policy Failure written by Claire A. Dunlop and published by Policy Press. This book was released on 2020-01-15 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: First published as a special issue of Policy & Politics, this updated volume explores policy failures and the valuable opportunities for learning that they offer. Policy successes and failures offer important lessons for public officials, but often they do not learn from these experiences. The studies in this volume investigate this broken link. The book defines policy learning and failure and organises the main studies in these fields along the key dimensions of processes, products and analytical levels. Drawing together a range of experts in the field, the volume sketches a research agenda linking policy scholars with policy practice.

Download or read book Silicon Photonics Design written by Lukas Chrostowski and published by Cambridge University Press. This book was released on 2015-03-12 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This hands-on introduction to silicon photonics engineering equips students with everything they need to begin creating foundry-ready designs.

Download or read book Deep Learning with PyTorch written by Luca Pietro Giovanni Antiga and published by Simon and Schuster. This book was released on 2020-07-01 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: “We finally have the definitive treatise on PyTorch! It covers the basics and abstractions in great detail. I hope this book becomes your extended reference document.” —Soumith Chintala, co-creator of PyTorch Key Features Written by PyTorch’s creator and key contributors Develop deep learning models in a familiar Pythonic way Use PyTorch to build an image classifier for cancer detection Diagnose problems with your neural network and improve training with data augmentation Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands. Instantly familiar to anyone who knows Python data tools like NumPy and Scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It’s great for building quick models, and it scales smoothly from laptop to enterprise. Deep Learning with PyTorch teaches you to create deep learning and neural network systems with PyTorch. This practical book gets you to work right away building a tumor image classifier from scratch. After covering the basics, you’ll learn best practices for the entire deep learning pipeline, tackling advanced projects as your PyTorch skills become more sophisticated. All code samples are easy to explore in downloadable Jupyter notebooks. What You Will Learn Understanding deep learning data structures such as tensors and neural networks Best practices for the PyTorch Tensor API, loading data in Python, and visualizing results Implementing modules and loss functions Utilizing pretrained models from PyTorch Hub Methods for training networks with limited inputs Sifting through unreliable results to diagnose and fix problems in your neural network Improve your results with augmented data, better model architecture, and fine tuning This Book Is Written For For Python programmers with an interest in machine learning. No experience with PyTorch or other deep learning frameworks is required. About The Authors Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch. Thomas Viehmann is a Machine Learning and PyTorch speciality trainer and consultant based in Munich, Germany and a PyTorch core developer. Table of Contents PART 1 - CORE PYTORCH 1 Introducing deep learning and the PyTorch Library 2 Pretrained networks 3 It starts with a tensor 4 Real-world data representation using tensors 5 The mechanics of learning 6 Using a neural network to fit the data 7 Telling birds from airplanes: Learning from images 8 Using convolutions to generalize PART 2 - LEARNING FROM IMAGES IN THE REAL WORLD: EARLY DETECTION OF LUNG CANCER 9 Using PyTorch to fight cancer 10 Combining data sources into a unified dataset 11 Training a classification model to detect suspected tumors 12 Improving training with metrics and augmentation 13 Using segmentation to find suspected nodules 14 End-to-end nodule analysis, and where to go next PART 3 - DEPLOYMENT 15 Deploying to production

Download or read book Deep Learning for Coders with fastai and PyTorch written by Jeremy Howard and published by O'Reilly Media. This book was released on 2020-06-29 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala