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Embedded Deep Learning
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...
AGENT-BASED UBIQUITOUS COMPUTING
Ubiquitous computing names the third wave in computing, where the personal computing era appears when technologyrecedesinto the backgroundof our lives. The widespread use of new mobile technology implementing wireless communicationssuch as personal digital assistants (PDAs) and smart phones enables a new type of advanced applications. In the pastyears,themainfocusofresearchinmobileserviceshasaimedattheanytime-anywhere principle (ubiquitous computing). However, there is more to it. The increasing demand for distributed problem solving led to the development of multi-agent systems. The latter are formed from a collection of independent software entities whose collective skills can be applied i...
Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning
This book explores and motivates the need for building homogeneous and heterogeneous multi-core systems for machine learning to enable flexibility and energy-efficiency. Coverage focuses on a key aspect of the challenges of (extreme-)edge-computing, i.e., design of energy-efficient and flexible hardware architectures, and hardware-software co-optimization strategies to enable early design space exploration of hardware architectures. The authors investigate possible design solutions for building single-core specialized hardware accelerators for machine learning and motivates the need for building homogeneous and heterogeneous multi-core systems to enable flexibility and energy-efficiency. The advantages of scaling to heterogeneous multi-core systems are shown through the implementation of multiple test chips and architectural optimizations.
Wealth
An in-depth political, legal, and philosophical study into the implications of wealth inequality in modern societies. Wealth, and specifically its distribution, has been a topic of great debate in recent years. Calls for justice against corporations implicated in the 2008 financial crash; populist rallying against “the one percent”; distrust of the influence of wealthy donors on elections and policy—all of these issues have their roots in a larger discussion of how wealth operates in American economic and political life. In Wealth a distinguished interdisciplinary group of scholars in political science, law and philosophy address the complex set of questions that relate to economic wea...
Taxing Corporate Income in the 21st Century
This book was first published in 2007. Most countries levy taxes on corporations, but the impact - and therefore the wisdom - of such taxes is highly controversial among economists. Does the burden of these taxes fall on wealthy shareowners, or is it passed along to those who work for, or buy the products of, corporations? Can a country with high corporate taxes remain competitive in the global economy? This book features research by leading economists and accountants that sheds light on these and related questions, including how taxes affect corporate dividend policy, stock market value, avoidance, and evasion. The studies promise to inform both future tax policy and regulatory policy, especially in light of the Sarbanes-Oxley Act and other actions by the Securities and Exchange Commission that are having profound effects on the market for tax planning and auditing in the wake of the well-publicized accounting scandals in Enron and WorldCom.
Fiscal Sociology at the Centenary
This book discusses the socio-legal tax state and its relationship to development, inequality and the transnational. 'Fiscal Sociology' commenced in 1918 when Joseph A. Schumpeter examined the links between capitalism and taxation, arguing that fiscal pressures on governments led directly to the development of tax collection, and the burgeoning growth of capitalist economies. The identification of taxation as an important component of capitalism has continued to change the way that theoretical sociologists conceptualise tax. This book documents the history of this literature to provide a summary of the topic for scholars seeking a bridge between taxation law and contextual, historical, and anthropological analyses of the development of the state, more generally. Whilst Schumpeter’s insights have been celebrated over the past one hundred years, taxation has slipped from the agenda of many scholarly disciplines, in relation to analyses of poverty, globalisation, and equality. Fiscal Sociology at the Centenary fills this gap. The implications of this literature for taxation law in the United Kingdom, in particular, are considered.
The Tech Coup
An insider offers a “forceful critique...of Big Tech's steady erosion of democracy” (The New Yorker) and describes what must be done to stop it Over the past decades, under the cover of “innovation,” technology companies have successfully resisted regulation and have even begun to seize power from governments themselves. Facial recognition firms track citizens for police surveillance. Cryptocurrency has wiped out the personal savings of millions and threatens the stability of the global financial system. Spyware companies sell digital intelligence tools to anyone who can afford them. This new reality—where unregulated technology has become a forceful instrument for autocrats around...
