Learning On Silicon

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Learning On Silicon

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Author : G. Cauwenberghs
language : en
Publisher: Springer Science & Business Media
Release Date : 1999-06-30

Learning On Silicon written by G. Cauwenberghs and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-06-30 with Technology & Engineering categories.

Learning on Silicon combines models of adaptive information processing in the brain with advances in microelectronics technology and circuit design. The premise is to construct integrated systems not only loaded with sufficient computational power to handle demanding signal processing tasks in sensory perception and pattern recognition, but also capable of operating autonomously and robustly in unpredictable environments through mechanisms of adaptation and learning. This edited volume covers the spectrum of Learning on Silicon in five parts: adaptive sensory systems, neuromorphic learning, learning architectures, learning dynamics, and learning systems. The 18 chapters are documented with examples of fabricated systems, experimental results from silicon, and integrated applications ranging from adaptive optics to biomedical instrumentation. As the first comprehensive treatment on the subject, Learning on Silicon serves as a reference for beginners and experienced researchers alike. It provides excellent material for an advanced course, and a source of inspiration for continued research towards building intelligent adaptive machines.

Ai Superpowers

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Author : Kai-Fu Lee
language : en
Publisher: Harper Business
Release Date : 2018

Ai Superpowers written by Kai-Fu Lee and has been published by Harper Business this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Business & Economics categories.

AI Superpowers is Kai-Fu Lee's New York Times and USA Today bestseller about the American-Chinese competition over the future of artificial intelligence.

The Wiley Handbook Of Global Educational Reform

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Author : Kenneth J. Saltman
language : en
Publisher: John Wiley & Sons
Release Date : 2018-08-30

The Wiley Handbook Of Global Educational Reform written by Kenneth J. Saltman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-30 with Education categories.

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.

Local And Regional Systems Of Innovation

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Author : John de la Mothe
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Local And Regional Systems Of Innovation written by John de la Mothe and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.

In an era of intense globalization, the critical role of the region as a center for economic development has sometimes been overlooked. Moreover, innovation is increasingly being recognized as being a critical driver of economic growth and development. However, innovation is no longer being seen as a function of research and development; nor is R&D being seen as being sufficient for the creation of technology-intensive industries and the valuable economic spillovers that result in high value-added jobs and exports. Indeed, much more than ever before, it is the combination of factors that contributes to innovation - ranging over skills, finance, production, user-producer linkages, the capacity of organizations to learn, and multilayered government policies - that make local regions the favorites of fortune. Using an evolutionary economic perspective, and drawing on a range of disciplines and accomplished scholars, Local and Regional Systems of Innovation explores important issues at a conceptual, methodological and comparative level concerning how successful locations actually construct their comparative advantage.

The Boundaryless Career

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Author : Michael Bernard Arthur
language : en
Publisher:
Release Date : 2001

The Boundaryless Career written by Michael Bernard Arthur and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Business & Economics categories.

This book explores the ways in which people's work careers are changing as the organizations in which they work change. The old concept of the firm as a self-contained entity interacting with its customers has been replaced by the reality of firms whose boundaries have given way to new alliances with suppliers and other outside organizations.

Learning And Development

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Author : Rebecca Page-Tickell
language : en
Publisher: Kogan Page Publishers
Release Date : 2022-05-03

Learning And Development written by Rebecca Page-Tickell and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-03 with Business & Economics categories.

How can learning initiatives contribute to employee and organizational success? This is a practical introduction to the principles of designing and delivering effective training and L&D programmes. Providing diagnostic tools, scenarios and case studies, Learning and Development demonstrates how to link learning to strategic business goals and explores both the benefits and complexities associated with L&D. This updated third edition features a new chapter on designing learning interventions, covering technology-led development and the impact of virtual learning. There is also guidance on making learning and development strategies accessible and inclusive for all employees, and information on metrics that can be used for measuring effectiveness. Learning and Development features guidance in essential areas including identifying L&D needs, selecting the most appropriate types of intervention and the processes of measurement and evaluation. Online resources include extended case studies, an annotated literature review and self-evaluation tools. HR Fundamentals is a series of succinct, practical guides featuring exercises, examples and case studies. They are ideal for students and those in the early stages of their HR careers.

Neuromorphic Systems Engineering

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Author : Tor Sverre Lande
language : en
Publisher: Springer Science & Business Media
Release Date : 1998-04-30

Neuromorphic Systems Engineering written by Tor Sverre Lande and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-04-30 with Technology & Engineering categories.

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.

The Boundaryless Career

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Author : Michael B. Arthur
language : en
Publisher: Oxford University Press
Release Date : 2001-07-26

The Boundaryless Career written by Michael B. Arthur and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-07-26 with Business & Economics categories.

Organizational restructuring and global, hypercompetition have revolutionized careers and destroyed the traditional blueprint for advancement and career success. This book details the new forms work takes in the new organizational era where worker mobility has become critical to the well-being and learning of both people and firms. The Boundaryless Career approaches the new principle of the boundaryless career in five directions. The first section helps the reader explore the nature of boundaryless careers by highlighting some of their essential elements. The second section turns to competitive advantage and the role of workers' knowledge. The thirs section concentrates on the role of the social structure in the organizing of work. The fourth section turns to focus on how boundaryless careers affect personal development and growth. The fifth section addresses the demands boundaryless careers create for schools, communities, and other social institutions. Introductory and concluding chapters by the editors offer frameworks for conceptualizing careers now and in the future. The Boundaryless Career provides a conceptual map of new career and employment forms to the prospective benefit of people making career choices, companies re-crafting human resource practices, schools and universities re-considering their roles, and policy-makers concerned with regional or national competitiveness. It will be essential reading for scholars in a range of social science disciplines spanning themes of economics, management, education, organizational behavior, and the psychology and sociology of work. It will also appeal broadly to free thinkers interested in the changing nature of careers and employment as both people and firms tackle the realities of increasingly open markets and global competition.

Practical Deep Learning For Cloud Mobile And Edge

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Author : Anirudh Koul
language : en
Publisher: O'Reilly Media
Release Date : 2019-10-14

Practical Deep Learning For Cloud Mobile And Edge written by Anirudh Koul and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-14 with Computers categories.

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

Deep Learning With Pytorch

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Author : Luca Pietro Giovanni Antiga
language : en
Publisher: Simon and Schuster
Release Date : 2020-07-01

Deep Learning With Pytorch written by Luca Pietro Giovanni Antiga and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-01 with Computers categories.

“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