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Synthesis Lectures on Computer Science

Transforming Healthcare with Artificial
Intelligence

Transforming Healthcare with Artificial Intelligence

Innovations and Applications

A Global Perspective

Smart City Standardization

Practical Uses and Instruments for Exploring Complex Networks

Graph Mining

This book is the essential guide for anyone curious about AI’s creative power. In the rapidly evolving landscape of artificial intelligence, generative AI stands out as one of the most transformative technologies of our time.&nbsp; Designed for beginners and requiring no prior knowledge of AI, this book breaks down the fundamentals of generative AI, from text and image generation to the workings of models like ChatGPT and Google Bard. &nbsp;The authors provide step-by-step coverage of the essential concepts and techniques that power generative AI. From the basics of how machines learn to generate text and images, to the intricate workings of models like Transformers, ChatGPT, and Google Bard, readers will gain a solid foundation in AI's most cutting-edge tools.&nbsp; Rather than focusing on a single method, the authors introduce a spectrum of generative modeling techniques, including diffusion models, variational autoencoders, and transformers. This comprehensive exposure ensures readers will be well-prepared to understand and adapt to the rapidly evolving AI landscape.&nbsp; In addition, real-world applications of generative AI across various industries are explored including healthcare innovations, business analytics, and legal technology, and the authors provide practical insights and examples that show how generative AI is revolutionizing these fields.In addition, this book:<ul><li>Offers a thorough, accessible, and engaging introduction to one of the most exciting areas of technology today</li><li>Covers a diverse range of generative modeling techniques, from transformers to variational autoencoders</li><li>Includes multiple-choice exercise questions and summaries at the end of each chapter to reinforce learning</li></ul>

An Introductory Path to Diffusion Models, ChatGPT, and LLMs

A Beginner’s Guide to Generative AI

This book enables readers to&nbsp;understand the&nbsp;challenges and opportunities of&nbsp;developing human-centered AI with&nbsp;commonsense reasoning abilities. Despite apparent accuracy improvements brought by&nbsp;large neural models across task benchmarks, common sense is still lacking. The lack of&nbsp;common sense affects many tasks, including story understanding, decision-making, and question answering. Commonsense knowledge and reasoning have long been considered the&nbsp;“black matter” of&nbsp;AI, raising concerns about the&nbsp;trustworthiness and applicability of&nbsp;AI methods in both autonomous and hybrid applications. This book describes how to design a more robust, collaborative, explainable, and responsible AI through incorporating neuro-symbolic commonsense reasoning. In addition, the&nbsp;book provides examples of&nbsp;how these properties of&nbsp;AI can facilitate a wide range of&nbsp;social-good applications in digital democracy, traffic monitoring, education, and robotics. What makes commonsense reasoning such a unique and impactful challenge? What can we learn from&nbsp;cognitive research when designing and developing AI systems? How can we approach building responsible, robust, collaborative, and explainable AI with&nbsp;common sense? And finally, what is the&nbsp;impact of&nbsp;this work on&nbsp;human-AI teaming? This book provides an accessible introduction and exploration of&nbsp;these topics.In addition, this book:<ol><li>Features cognitive, symbolic, and neural theories and methods for commonsense reasoning</li><li>Integrates neural and symbolic methods for open-domain tasks built on robustness, adaptivity, collaboration, and responsibility principles</li><li>Synthesizes lessons learned and provides open challenges that future research and engineering efforts need to tackle</li></ol>About the AuthorFilip Ilievski, Ph.D., is a Senior Assistant Professor of Commonsense AI at the Vrije Universiteit (VU) Amsterdam’s Computer Science department. Dr. Ilievski is an affiliated scientist at the USC Information Sciences Institute (ISI), where he was previously a Research Lead and played a key role in a team within the DARPA Machine Common Sense (MCS) program. Dr. Ilievski holds a Ph.D. in Natural Language Processing. His research focuses on developing robust and explainable neuro-symbolic technology with positive real-world impact, based on neural methods and high-quality knowledge. Dr. Ilievski has also made extensive contributions in identifying long-tail entities in text, interpretation of internet memes, and enabling access to large-scale knowledge resources.

This book enables readers to&nbsp;understand the&nbsp;challenges and opportunities of&nbsp;developing human-centered AI with&nbsp;commonsense reasoning abilities. Despite apparent accuracy improvements brought by&nbsp;large neural models across task benchmarks, common sense is still lacking. The lack of&nbsp;common sense affects many tasks, including story understanding, decision-making, and question answering. Commonsense knowledge and reasoning have long been considered the&nbsp;“black matter” of&nbsp;AI, raising concerns about the&nbsp;trustworthiness and applicability of&nbsp;AI methods in both autonomous and hybrid applications. This book describes how to design a more robust, collaborative, explainable, and responsible AI through incorporating neuro-symbolic commonsense reasoning. In addition, the&nbsp;book provides examples of&nbsp;how these properties of&nbsp;AI can facilitate a wide range of&nbsp;social-good applications in digital democracy, traffic monitoring, education, and robotics. What makes commonsense reasoning such a unique and impactful challenge? What can we learn from&nbsp;cognitive research when designing and developing AI systems? How can we approach building responsible, robust, collaborative, and explainable AI with&nbsp;common sense? And finally, what is the&nbsp;impact of&nbsp;this work on&nbsp;human-AI teaming? This book provides an accessible introduction and exploration of&nbsp;these topics.

Human-Centric AI with Common Sense

Dieses Buch stellt aktuelle und neuartige Methoden für die Arbeit der Revision sowie für Prüfungen und Tests von IT-Systemen vor. Berücksichtigt werden dabei Aspekte des Datenschutzes, der Cybersicherheit sowie der Effektivität und Funktionalität von IT- und KI-Systemen. Mit Beiträgen von Irfan Altiok, Nikolas Becker, Anna Cardillo, Karina Filusch, Frank Fünfstück, Stefan Marienfeld, Bernhard Waltl und Daniela Will.Der Inhalt<ul><li>Datenschutz-Managementsystem 2.0 inkl. Reifegradmodell</li><li>Meldepflichten für Sicherheitsvorfälle und Datenpannen</li><li>Datenschutzrechtliche Dienstleisterkontrolle</li><li>Prüfung von IT-Outsourcing und Cloud-Computing</li><li>Assessments mittels Red Teaming nach dem Assume-Breach-Ansatz</li><li>Internes und externes Audit von KI-Systemen</li></ul>Die Zielgruppen<ul><li>Prüfer, Revisoren, IT-Auditoren</li><li>Datenschutzbeauftragte, Datenschutzkoordinatoren,&nbsp;Datenschutzauditoren sowie Beschäftigte und Verantwortliche in Datenschutzfunktionen</li><li>IT-Compliance-Manager,&nbsp;IT-Sicherheitsbeauftragte, CISOs,&nbsp;IT-Verantwortliche</li><li>KI-Beauftragte</li></ul>Die HerausgeberinDr. Aleksandra Sowa ist zertifizierte Datenschutzbeauftragte (DSB-TÜV), Datenschutz- auditorin&nbsp; (DSA-TÜV),&nbsp; IT-Compliance-Managerin&nbsp; (ITCM)&nbsp; und&nbsp; IT Information&nbsp; Security Practitioner (ITISP). Sie war für den Vorstand Datenschutz, Recht und Compliance (DRC) der Deutschen Telekom AG tätig, ist Sachverständige für IT-Sicherheit im Innenausschuss des Bundestages und leitete zusammen mit dem deutschen Kryptologen Hans Dobbertin das Horst Görtz Institut für Sicherheit in der Informationstechnik. Aleksandra Sowa ist Publizistin und Buchautorin.&nbsp;

Dieses Buch stellt aktuelle und neuartige Methoden für die Arbeit der Revision sowie für Prüfungen und Tests von IT-Systemen vor. Berücksichtigt werden dabei Aspekte des Datenschutzes, der Cybersicherheit sowie der Effektivität und Funktionalität, und es werden Ansätze für Datenschutzbeauftragte, Sicherheitsbeauftragte, CISOs, Compliance-Manager, KI-Beauftragte etc. vorgestellt.

Neue Ansätze für die IT-Revision

IT-Prüfung, Datenschutzmanagement und KI-Audit

Learn how to manage the risks and opportunities of agentic AI with this practical guide to ensuring the safe and beneficial developments of advanced AI systems.

Principles and Responsible Practices

Safer Agentic AI

Encyclopedia of Optimization

A story of unexpected love at the end of the world

Some Body Like Me

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

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

Mitigating Threats and Facilitating the Flow of Commerce

Security, Transportation, and the Supply Chain

Understanding the Strategic Process

Managing Digital Transformation

Specialty Crops and Climate Change Modeling

Artificial Intelligence and Data Science in Agriculture

Routledge Companions

Digital Humanities has emerged in recent years as a new paradigm within theatre and performance studies. This is the first volume to compile scholarly and best practice knowledge from around the globe, and to address both the history and future of this new field. Contributors examine a range of projects documenting, reconstructing and visualizing theatre and performance practices both past and present; discuss a new methodology for theatre scholarship, and for archiving and preserving works; and consider the impact of the Digital Humanities on higher education in theatre and performance studies.

Digital Humanities has emerged in recent years as a new paradigm within theatre and performance studies. This is the first volume to compile scholarly and best practice knowledge from around the globe, and to address both the history and future of this new field. Contributors examine a range of projects documenting, reconstructing and visualizing theatre and performance practices both past and present; discuss a new methodology for theatre scholarship, and for archiving and preserving works; and consider the impact of the Digital Humanities on higher education in theatre and performance studies.

The Routledge Companion to Digital Humanities in Theatre and Performance

Leveraging AI, Data and Analytics in Travel

Technology-Led Tourism

Medical Robots and Devices: New Developments and Advances

Medical Imaging Application in Health Assessment and Disease Management is an all-encompassing book that explores the transformative power of medical imaging in various fields of medicine. It showcases the latest advancements and applications of medical imaging modalities, ranging from neurology and oncology to audiology and osteoporosis. The book highlights the role of medical imaging in understanding and treating neurological conditions, assessing bone health, unraveling hearing disorders, and diagnosing and treating oncological conditions. It also delves into the potential of artificial intelligence and machine learning in improving cancer diagnosis and treatment. The book explores the use of medical imaging in observing mental health conditions such as autism spectrum disorder and stress-related behavioral changes. This comprehensive resource is essential for researchers and professional engineers in the fields of medical image computing/processing, computer science, artificial intelligence, radiology, neuroscience, and biomedical research.

Medical Imaging Application in Health Assessment and Disease Management

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

Transforming Healthcare with Artificial Intelligence

Bibliografische Angaben

Schlagworte

Bibliografische Angaben

Schlagworte

Weitere Titel der Reihe: Synthesis Lectures on Computer Science

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