Richard Meyes's Books

Transparency and Interpretability for Learned Representations of Artificial Neural Networks

By: Richard Meyes

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Transparency and Interpretability for Learned Representations of Artificial Neural Networks

By: Richard Meyes

Artificial intelligence (AI) is a concept, whose meaning and perception has changed considerably over the last decades. Starting off with individual and purely theoretical research efforts in the 1950s, AI has grown into a fully developed research field of modern times and may arguably emerge as one of the most important technological advancements of mankind. Despite these rapid technological advancements, some key questions revolving around the matter of transparency, interpretability and explainability of an AI’s decision-making remain unanswered. Thus, a young research field coined with the general term Explainable AI (XAI) has emerged from increasingly strict requirements for AI to be used in safety critical or ethically sensitive domains. An important research branch of XAI is to develop methods that help to facilitate a deeper understanding for the learned knowledge of artificial neural systems. In this book, a series of scientific studies are presented that shed light on how to adopt an empirical neuroscience inspired approach to investigate a neural network’s learned representation in the same spirit as neuroscientific studies of the brain.

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230

Publisher

Springer Nature

Published Date

ISBN 10

3658400048

ISBN 13

9783658400040

Emulation of Bursting Neurons in Neuromorphic Hardware based on Phase-Change Materials

By: Richard Meyes

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Emulation of Bursting Neurons in Neuromorphic Hardware based on Phase-Change Materials

By: Richard Meyes

In the history of computing hardware,Moore’s law, named after Intel co-founder Gordon E. Moore, describes a long-termtrend, whereby the number of transistors that can be placed inexpensively on an integrated circuit doubles approximately every two years [1]. Because the number of transistors is crucial for computing performance, significant performance gains could be achieved simply through complementary metal-oxide-semiconductor (CMOS) transistor downscaling. AlthoughMoore’s law, which was mentioned for the first time in 1965, turned out to persist for almost five decades, the nano era poses significant problems to the concept of downscaling [2]. Upon approaching the size of atoms, quantumeffects, such as quantum tunneling, pose fundamental barriers to the trend. Furthermore, the conventional computing paradigm based on the Von-Neumann architecture and binary logic becomes increasingly inefficient considering the growing complexity of todays computational tasks. Hence, new computational paradigms and alternative information processing architectures must be explored to extend the capabilities of future information technology beyond digital logic. A fantastic example for such an alternative information processing architecture is the human brain. The brain provides superior computational features such as ultrahigh density of processing units, low energy consumption per computational event, ultrahigh parallelism in computational execution, extremely flexible plasticity of connections between processing units and fault-tolerant computing provided by a huge number of computational entities. Compared to today’s programmable computers, biological systems are six to nine orders of magnitude more efficient in complex environments [3]. For instance: simulating five seconds of brain activity takes IBM’s state-of-the-art supercomputer Blue Gene a hundred times as long, i.e. 500 s, during which it consumes 1.4 MWof power, whereas the power dissipation in the human central nervous system is of the order of 10W[4, 5]. Thus, it is not only extremely interesting but in terms of computational progress also highly desirable to understand how information is processed in the human brain. The conceptual idea developed within the framework of this thesis tries to contribute to this intention. In contrast to most recent research dealing with the simulation and emulation of specific connections between nerve cells [5–12], the work of this thesis focuses on investigating, on [...]

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118

Publisher

diplom.de

Published Date

ISBN 10

3954898446

ISBN 13

9783954898442

The Emergence of Charismatic Business Leadership

By: Richard S. Tedlow

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The Emergence of Charismatic Business Leadership

By: Richard S. Tedlow

Harvard Business School Emeritus professor Richard S. Tedlow examines how the role of the business leader has changed since World War II. A handful of individuals have helped transform the face of modern-day leadership, making charisma essential to the role. Through Tedlow's in-depth accounts of modern business history, we see how charismatic leadership enables the creation of revolutionary new products and makes it possible for former outsiders to attain power and influence. Tedlow shows the skills and tools necessary to oversee a successful business and become a charismatic business leader.

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426

Publisher

Simon and Schuster

Published Date

ISBN 10

1948122847

ISBN 13

9781948122849

Stanford University

An Architectural Tour

By: Richard Joncas,David Neuman,Paul Venable Turner

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Stanford University

An Architectural Tour

By: Richard Joncas,David Neuman,Paul Venable Turner

With the many additions to the campus of Stanford University since the publication of our book, including the Frances Arrillaga Alumni Center by Hoover Associates / The SWA Group, the James H. Clark Center for Bio Sciences & Bio Engineering by Foster and Partners / Peter Walker and Partners, and the Carnegie Institution by Esherik Homsey Dodge and Davis, it is time for a revised edition of our guide. The original 1891 campus, conceived by Frederick Law Olmsted and executed by architects Shepley, Rutan and Coolidge, balances architecture, landscapes, and the natural surroundings in a composition of classic formal beauty. Stanford is a model of university design, from the nineteenth- century Memorial Court and Main Quad to twentieth-century buildings and restorations that respect the historic campus while contributing to modern design. This revised edition features 16 new pages on the additions to the campus and many updated entries with new photography.

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204

Publisher

Princeton Architectural Press

Published Date

ISBN 10

156898538X

ISBN 13

9781568985381

Strategic Management

By: Richard Lynch,Oliver Barish,Vinh Sum Chau,Charles Thornton,Karl S. R. Warner

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Strategic Management

By: Richard Lynch,Oliver Barish,Vinh Sum Chau,Charles Thornton,Karl S. R. Warner

Taking a truly international approach, Strategic Management offers you comprehensive coverage of all the core areas of business strategy in a reader-friendly way. Thoroughly updated and with the addition of four brand-new authors, the tenth edition features: • Balanced treatment of prescriptive and emergent models of strategic management. • Application of strategic theory to key areas such as technology and innovation, sustainability, entrepreneurial and public sector strategy. • Cutting-edge content on navigating change in the strategic environment, digital transformation strategies and the role of strategic groups. • 15 brand new case studies showcasing real-life examples from recognisable brands such as Coca-Cola, Airbnb, Apple, Tesla, Toyota, Alibaba, Samsung, Starbucks and UK banks, plus updated case material throughout. • A range of practical tools to support your learning, including summaries of key strategic principles, strategic project ideas, critical reflections, questions and further reading. Suitable for both undergraduate and postgraduate study. Professor Richard Lynch is Emeritus Professor of Strategic Management at Middlesex University, London. Dr Oliver Barish is Lecturer in Management at Birkbeck Business School, Birkbeck, University of London. Dr Vinh Sum Chau is Senior Lecturer in Strategy at Kent Business School, University of Kent. Dr Charles Thornton is Lecturer in Service Operations Management and Business Strategy at Plymouth Business School, University of Plymouth. Dr Karl Warner is Lecturer in Strategy at Adam Smith Business School, University of Glasgow.

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1105

Publisher

SAGE Publications Limited

Published Date

ISBN 10

1529678609

ISBN 13

9781529678604

Transparency and Interpretability for Learned Representations of Artificial Neural Networks

By: Richard Meyes

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Transparency and Interpretability for Learned Representations of Artificial Neural Networks

By: Richard Meyes

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230

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Springer Nature

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ISBN 10

3658400048

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9783658400040

Emulation of Bursting Neurons in Neuromorphic Hardware Based on Phase-Change Materials

By: Richard Meyes

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Emulation of Bursting Neurons in Neuromorphic Hardware Based on Phase-Change Materials

By: Richard Meyes

Intro -- CHAPTER 1: Introduction -- CHAPTER 2: A Biological Background -- 2.1. The Neuron -- 2.2. The Synapse -- 2.3. An Overall View -- CHAPTER 3: Experimental Emulations -- 3.1. Modeling STP and LTP in a CMOS Spiking NeuralNetwork Chip -- 3.2. Implementation of STDP based on Phase-ChangeMaterial Synapses -- 3.3. Phase-Change Materials for Artificial NeuralNetworks -- 3.4. An Overall View -- CHAPTER 4: Bursting Neurons -- 4.1. Physiological Mechanisms of Bursting -- 4.2. Bursts as a Unit of Neuronal Information -- 4.3. Bursting for Selective Communication -- 4.4. Modeling Neuronal Bursting Activity -- 4.5. An Overall View -- CHAPTER 5: A PCM Bursting Neuron -- 5.1. Voltage-Controlled Relaxation Oscillation in a PCMDevice -- 5.2. The Analogy to Hippocampal Pyramidal BurstingNeurons -- 5.3. Simulation of a PCM Bursting Neuron -- 5.4. An Overall View -- CHAPTER 6: An Outlook on the Future -- APPENDIX A: Quantification of the MembranePotential -- APPENDIX B: Vocabulary -- List of Figures -- List of Tables -- Bibliography -- Acknowledgement

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Page Count

125

Publisher

Anchor Academic Publishing (aap_verlag)

Published Date

ISBN 10

3954893444

ISBN 13

9783954893447

Book's by Richard Meyes

Transparency and Interpretability for Learned Representations of Artificial Neural Networks

Transparency and Interpretability for Learned Representations of Artificial Neural Networks

Emulation of Bursting Neurons in Neuromorphic Hardware based on Phase-Change Materials

Emulation of Bursting Neurons in Neuromorphic Hardware based on Phase-Change Materials

The Emergence of Charismatic Business Leadership

The Emergence of Charismatic Business Leadership

Stanford University

Stanford University

Strategic Management

Strategic Management

Transparency and Interpretability for Learned Representations of Artificial Neural Networks

Transparency and Interpretability for Learned Representations of Artificial Neural Networks

Emulation of Bursting Neurons in Neuromorphic Hardware Based on Phase-Change Materials

Emulation of Bursting Neurons in Neuromorphic Hardware Based on Phase-Change Materials

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