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Author: Alice Schlein
Publisher:
ISBN:
Category : Crafts & Hobbies
Languages : en
Pages : 144
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Book Description
Author: Alice Schlein
Publisher:
ISBN:
Category : Crafts & Hobbies
Languages : en
Pages : 144
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Book Description
Author: Madelyn Van der Hoogt
Publisher: Shuttle Craft Books
ISBN: 9780916658519
Category : Crafts & Hobbies
Languages : en
Pages : 136
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Book Description
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309147026
Category : Science
Languages : en
Pages : 193
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Book Description
For much of the past 60 years, the U.S. research community dominated the discovery of new crystalline materials and the growth of large single crystals, placing the country at the forefront of fundamental advances in condensed-matter sciences and fueling the development of many of the new technologies at the core of U.S. economic growth. The opportunities offered by future developments in this field remain as promising as the achievements of the past. However, the past 20 years have seen a substantial deterioration in the United States' capability to pursue those opportunities at a time when several European and Asian countries have significantly increased investments in developing their own capacities in these areas. This book seeks both to set out the challenges and opportunities facing those who discover new crystalline materials and grow large crystals and to chart a way for the United States to reinvigorate its efforts and thereby return to a position of leadership in this field.
Author: William L. William L. Hamilton
Publisher: Springer Nature
ISBN: 3031015886
Category : Computers
Languages : en
Pages : 141
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Book Description
Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.
Author: David Easley
Publisher: Cambridge University Press
ISBN: 1139490303
Category : Computers
Languages : en
Pages : 745
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Book Description
Are all film stars linked to Kevin Bacon? Why do the stock markets rise and fall sharply on the strength of a vague rumour? How does gossip spread so quickly? Are we all related through six degrees of separation? There is a growing awareness of the complex networks that pervade modern society. We see them in the rapid growth of the internet, the ease of global communication, the swift spread of news and information, and in the way epidemics and financial crises develop with startling speed and intensity. This introductory book on the new science of networks takes an interdisciplinary approach, using economics, sociology, computing, information science and applied mathematics to address fundamental questions about the links that connect us, and the ways that our decisions can have consequences for others.
Author: Craig Groves
Publisher:
ISBN:
Category : Nature
Languages : en
Pages : 504
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Book Description
Drafting a Conservation Blueprint lays out for the first time in book form a step-by-step planning process for conserving the biological diversity of entire regions. In an engaging and accessible style, the author explains how to develop a regional conservation plan and offers experience-based guidance that brings together relevant information from the fields of ecology, conservation biology, planning, and policy. Individual chapters outline and discuss the main steps of the planning process, including: • an overview of the planning framework • selecting conservation targets and setting goals • assessing existing conservation areas and filling information gaps • assessing population viability and ecological integrity • selecting and designing a portfolio of conservation areas • assessing threats and setting priorities A concluding section offers advice on turning conservation plans into action, along with specific examples from around the world. The book brings together a wide range of information about conservation planning that is grounded in both a strong scientific foundation and in the realities of implementation.
Author: Dan Jurafsky
Publisher: Pearson Education India
ISBN: 9788131716724
Category :
Languages : en
Pages : 912
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Book Description
Author: Ian Goodfellow
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
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Book Description
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Author: Jack Goldsmith
Publisher: Oxford University Press
ISBN: 0198034806
Category : Computers
Languages : en
Pages : 239
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Book Description
Is the Internet erasing national borders? Will the future of the Net be set by Internet engineers, rogue programmers, the United Nations, or powerful countries? Who's really in control of what's happening on the Net? In this provocative new book, Jack Goldsmith and Tim Wu tell the fascinating story of the Internet's challenge to governmental rule in the 1990s, and the ensuing battles with governments around the world. It's a book about the fate of one idea--that the Internet might liberate us forever from government, borders, and even our physical selves. We learn of Google's struggles with the French government and Yahoo's capitulation to the Chinese regime; of how the European Union sets privacy standards on the Net for the entire world; and of eBay's struggles with fraud and how it slowly learned to trust the FBI. In a decade of events the original vision is uprooted, as governments time and time again assert their power to direct the future of the Internet. The destiny of the Internet over the next decades, argue Goldsmith and Wu, will reflect the interests of powerful nations and the conflicts within and between them. While acknowledging the many attractions of the earliest visions of the Internet, the authors describe the new order, and speaking to both its surprising virtues and unavoidable vices. Far from destroying the Internet, the experience of the last decade has lead to a quiet rediscovery of some of the oldest functions and justifications for territorial government. While territorial governments have unavoidable problems, it has proven hard to replace what legitimacy governments have, and harder yet to replace the system of rule of law that controls the unchecked evils of anarchy. While the Net will change some of the ways that territorial states govern, it will not diminish the oldest and most fundamental roles of government and challenges of governance. Well written and filled with fascinating examples, including colorful portraits of many key players in Internet history, this is a work that is bound to stir heated debate in the cyberspace community.
Author: Amy J. Rutenberg
Publisher: Cornell University Press
ISBN: 1501739379
Category : History
Languages : en
Pages : 276
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Book Description
Rough Draft draws the curtain on the race and class inequities of the Selective Service during the Vietnam War. Amy J. Rutenberg argues that policy makers' idealized conceptions of Cold War middle-class masculinity directly affected whom they targeted for conscription and also for deferment. Federal officials believed that college educated men could protect the nation from the threat of communism more effectively as civilians than as soldiers. The availability of deferments for this group mushroomed between 1945 and 1965, making it less and less likely that middle-class white men would serve in the Cold War army. Meanwhile, officials used the War on Poverty to target poorer and racialized men for conscription in the hopes that military service would offer them skills they could use in civilian life. As Rutenberg shows, manpower policies between World War II and the Vietnam War had unintended consequences. While some men resisted military service in Vietnam for reasons of political conscience, most did so because manpower polices made it possible. By shielding middle-class breadwinners in the name of national security, policymakers militarized certain civilian roles—a move that, ironically, separated military service from the obligations of masculine citizenship and, ultimately, helped kill the draft in the United States.
