The past few centuries have seen an enormous increase in living standards in many parts of the world and these economies have become more complex than ever before. At the same time, progress in science and technology has reached unprecedented heights, taking us far beyond the wildest dreams of a few generations ago. Questions as to how science, technology and the economy interact are pertinent and important ones, whose partial answers require a view "from across the fence" between disciplines.This book provides an introduction to the vast and varied field of the economics of science. It is a unique blend of an economic perspective on the way science works, what makes scientists tick, and a study of the impact of scientific and technological progress on economies and their growth. Whether it is about the speculative market of ideas or science and technology as engines of the economy, there is something here for economists, engineers and scientists alike.

FROM SCIENTIFIC PROGRESS TO ECONOMIC GROWTH: THE ECONOMICS AND ECONOMY OF SCIENCE (Between Science and Economics)

Business & Money

Witte, Frank

Economics

Imperial College Pr

<p>Quantum Computing for the Brain argues that the brain is the killer application for quantum computing. No other system is as complex, as multidimensional in time and space, as dynamic, as less well-understood, as of peak interest, and as in need of three-dimensional modeling as it functions in real-life, as the brain.Quantum computing has emerged as a platform suited to contemporary data processing needs, surpassing classical computing and supercomputing. This book shows how quantum computing's increased capacity to model classical data with quantum states and the ability to run more complex permutations of problems can be employed in neuroscience applications such as neural signaling and synaptic integration. State-of-the-art methods are discussed such as quantum machine learning, tensor networks, Born machines, quantum kernel learning, wavelet transforms, Rydberg atom arrays, ion traps, boson sampling, graph-theoretic models, quantum optical machine learning, neuromorphic architectures, spiking neural networks, quantum teleportation, and quantum walks.Quantum Computing for the Brain is a comprehensive one-stop resource for an improved understanding of the converging research frontiers of foundational physics, information theory, and neuroscience in the context of quantum computing.</p>

Quantum Computing for the Brain (Between Science and Economics, 3)

Computers & Technology

Swan, Melanie

Santos, Renato P Dos

Lebedev, Mikhail A

Computer Science

World Scientific Publishing Europe Ltd

Das Buch gibt konkrete Tipps zur erfolgreichen Umsetzung von Softwaretests und effizientem Testmanagement. Dabei verbindet der Autor theoretische Grundlagen mit betrieblicher Realität zur Anwendung in der Praxis. Es werden Hinweise gegeben, welche Herausforderungen beim Test von Software bestehen, wo es Fallstricke gibt und was zu beachten ist, um sie zu vermeiden.

Testmanagement und Softwaretest: Theoretische Grundlagen und praktische Umsetzung (German Edition)

Springer Vieweg

Strategy, Planning and Organization of Test Processes: Basis for Successful Project Execution in Software Testing

Springer

Konzeption und Umsetzung automatisierter Softwaretests: Testautomatisierung zur Optimierung von Testabdeckung und Softwarequalität (German Edition)

Metrics for Test Reporting: Analysis and Reporting for Effective Test Management

Investitionstheorie und Investitionsrechnung (German Edition)

Busse von Colbe, Walther

Finance

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