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Ananthaswamy Anil: Why Machines Learn

Why Machines Learn

The Elegant Math Behind Modern AI

World Scientific Book Series In Quantum Information, Science And Technology

This unique compendium gives an overview of the current research activities and developments within the areas of quantum hardware, quantum computing, quantum software, quantum communication and quantum sensing in Denmark. Renowned contributing authors are part of the Danish research community and work in research institutions or companies dealing with and related to quantum technologies.The useful reference text allows readers to identify the research groups within Denmark working on specific topics as well as learning about topics which might be unfamiliar to them. The intention of each chapter is to give a good introduction to the scientific theory and the current state of the art.

Quantum Hardware And Algorithms For Engineering And Life Sciences Applications: A Review Of The Danish Quantum Research Community

Algorithms have become the key organizer through which power is enacted in our society. A huge amount of data regarding our daily routines are monitored and analyzed to make recommendations that manage, control, and lead our behaviors in everyday life. AI, Humans, and Misinformation: How Does AI Alter Human Behavior and How Do Humans Influence Algorithmic Misinformation? is a guide to understanding the dynamics of AI and misinformation in human contexts by addressing meaningful questions-How does AI alter human behavior and how do humans influence algorithmic decision-making? In answering these questions, this book examines the role of misinformation, disinformation, and fake news, and shows readers how to develop AI methods and algorithms that combat misinformation by using AI design choices that provide users and developers alike with meaningful control over AI. This book brings together various perspectives on algorithms into an integrated conceptual framework, and provides a broad socio-technical analysis, addressing critical and ethical issues of misinformation and fake news. The book offers a compelling insight into the misinformation phenomenon and the future of AI-based society. Readers will find an integrated technical analysis of the logic and social implications of algorithmic processes. Reporting from the cutting edge of critical technical methods and research, the result is useful and constructive for developing the relations between algorithms and humans. This is an imperative methodology for understanding what is at stake as industry and government use AI to reshape the world.

Decoding Bias, Algorithms, and Trust

Minds, Machines, and Misinformation

Concise Introductions to AI and Data Science

Bipolar Fuzzy Hybrid Aggregation Operators for Decision-Making

Software Studies

On Software and Sovereignty

The Stack, 10th Anniversary Edition

An Introduction to String Algorithms

This cross-disciplinary field utilizes the strange effects of quantum mechanics to enable information processing and computing that would be impossible on traditional 'classical' computers. The field has developed rapidly over the last few years due in part to its tremendous technological potential. The theoretical foundations of the subject are clearly established and good textbooks are available. However, many experimental directions are under investigation and hardly any book describing them is available on the market. Quantum cryptography, for example, has already evolved to marketable devices. Most of the books on quantum information and/or quantum computing address the important aspect of optical implementation only briefly. This book solves that by focusing on all light-based approaches to quantum computing.

Quantum Information Processing with Light

Computer Manual (MATHEMATICA version) to accompany Pattern Classification, Third Edition, and its associated software contains all the MATHEMATICA code for the dynamic figures in the electronic version of PATTERN CLASSIFICATION, 3/e, (Duda, Hart, and Stork) as well as for core algorithms in pattern classification, clustering, and feature extraction described in the text. The code is cross-referenced with the material from the textbook, and uses the same terminology and symbols, so that the conceptual link from course material to working code is tight.

Computer Manual in Mathematica to Accompany Patter n Classification, Third Edition

While the field of Deep Learning has been advancing at frightening speeds during the last ten years, we do not have a plausible theoretical explanation of its success yet. One can safely say that Deep Learning works, but nobody really understands why. Nevertheless, starting around five years before now, a decent number of theoretical papers specifically concerning neural nets started to emerge at top machine learning venues. This makes us think that the core of Deep Learning theory has already started to crystallize.The goal of the present book is to present these core concepts of Deep Learning theory to readers so that they could directly dive into recent papers of this area. For this purpose, each chapter elaborates a simple model or a classical result in details first and then discusses possible generalizations and more recent developments of the same idea.We have to warn the reader that the present book is not a mathematical manuscript. Not all results here are stated as formal theorems and not all theorems are provided with complete and rigorous proofs. Many of the theorems of the book are proven up to some technical lemmas, while for some there is only a proof sketch. This conforms with the main idea of the book: present and illustrate concepts rather than reproduce all the results.The book, in its present form, covers the following topics: uniform generalization bounds, PAC-bayesian generalization bounds, double descent phenomena, infinitely-wide networks, implicit bias of gradient descent, loss landscape, gradient descent convergence guarantees, and initialization strategies.

Elements Of Deep Learning Theory

The goal of security within the supply chain and transportation infrastructure is to effectively mitigate risks while facilitating commerce. Security and business protection measures are at the core of how to maintain consistent and strategic business operations. These expenses are assets that promote reliability to customers, but also serve as

Why Machines Learn

Informations bibliographiques

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