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The practice of armed conflict has changed radically in the last decade. With eminent contributors from legal, government and military backgrounds, this Research Handbook addresses the legal implications of remote warfare and its significance for combatants, civilians, policymakers and international lawyers.
What is the relationship between politics and international law? Inspired by comparative politics and socio-legal studies, this Research Handbook develops a novel framework for comparative analysis of politics and international law at different stages of governance and in different governance systems. It applies the framework in a wide range of fields—from human rights and environmental standards, to cyber conflict and intellectual property—to show how the relationship between politics and international law varies depending on the sites where it unfolds.
This book presents the latest research on status generalization in a variety of settings. Throughout, the book illustrates how improved status process interventions can reduce unwanted inequalities between advantaged and disadvantaged students, genders, organizational positions, races, and other dynamics that may be impacted by social status and expectation.
Owing to increased migration dating from the 1990s, Nordic countries have gone through substantial cultural and social changes, resulting in increased debate surrounding the politics of multiculturalism. One of the central realms of the discussion around multiculturalism in the Nordic region concerns the media, which is considered to be a vital factor in the construction of society's values, as well as an essential tool in the integration process of migrants, providing as it does a symbolic arena for learning about and becoming part of society. This collection draws together the latest research from Denmark, Finland, Norway and Sweden to look at different aspects of the relationship between ...
The first comprehensive introduction to Multi-Agent Reinforcement Learning (MARL), covering MARL’s models, solution concepts, algorithmic ideas, technical challenges, and modern approaches. Multi-Agent Reinforcement Learning (MARL), an area of machine learning in which a collective of agents learn to optimally interact in a shared environment, boasts a growing array of applications in modern life, from autonomous driving and multi-robot factories to automated trading and energy network management. This text provides a lucid and rigorous introduction to the models, solution concepts, algorithmic ideas, technical challenges, and modern approaches in MARL. The book first introduces the fieldâ...
This book aims at the tiny machine learning (TinyML) software and hardware synergy for edge intelligence applications. This book presents on-device learning techniques covering model-level neural network design, algorithm-level training optimization and hardware-level instruction acceleration. Analyzing the limitations of conventional in-cloud computing would reveal that on-device learning is a promising research direction to meet the requirements of edge intelligence applications. As to the cutting-edge research of TinyML, implementing a high-efficiency learning framework and enabling system-level acceleration is one of the most fundamental issues. This book presents a comprehensive discuss...
This historical survey of parallel processing from 1980 to 2020 is a follow-up to the authors’ 1981 Tutorial on Parallel Processing, which covered the state of the art in hardware, programming languages, and applications. Here, we cover the evolution of the field since 1980 in: parallel computers, ranging from the Cyber 205 to clusters now approaching an exaflop, to multicore microprocessors, and Graphic Processing Units (GPUs) in commodity personal devices; parallel programming notations such as OpenMP, MPI message passing, and CUDA streaming notation; and seven parallel applications, such as finite element analysis and computer vision. Some things that looked like they would be major tre...