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Gesamtkatalog

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BestMasters

Lisa Keßler

Einsatz von KI-gestützter Eignungsdiagnostik in Großunternehmen

Eine Analyse zur Verbesserung der Passgenauigkeit von Neueinstellungen

&lt;p&gt;Einleitung.- Theoretische Grundlagen der Eignungsdiagnostik und der K&amp;uuml;nstlichen Intelligenz.- Anwendung von KI-Tools und spezifische Einsatzbereiche.- Herausforderungen, Zukunftsperspektiven und Anpassung der KI Methoden.- Empirische Untersuchung.- Ergebnisdarstellung.- Fazit und Ausblick.&lt;/p&gt;

AI Futures

Redefining Arms Races and Contemporary Warfare

Artificial Intelligence and International Security

Enhancing Reflective Teaching in Higher Education

Redefining Teaching and Learning

GenAI in Higher Education

This open access book presents a pioneering methodology for dynamic system control, offering a mathematically rigorous and practically effective alternative to conventional state-space models, given that the study of nonlinear control of complex multi-input multi-output (MIMO) systems has faced significant challenges.&nbsp;
Authored by the&nbsp;proposer of the Fully Actuated System (FAS) approach, this book volumes systematically establish a new paradigm for the analysis and design of dynamical control systems. Unlike traditional state-space methods—where control vectors cannot be explicitly solved—the FAS approach provides a model in which control vectors can be fully or partially determined, significantly enhancing control precision and system performance. Since its introduction, the FAS methodology has attracted substantial attention within the global control community and has demonstrated superior capabilities in managing nonlinear control problems.
Key Contributions:

A novel theoretical framework&nbsp;that advances nonlinear feedback control, addressing long-standing unresolved issues.
A structured, multi-volume exposition, covering&nbsp;Global FAS, Sub-FAS, and Unidirectionally Connected FAS, each building on the preceding concepts.
Comprehensive theoretical foundations&nbsp;with rigorous derivations, controller design methodologies, and practical implementation strategies.
Broad applicability, providing researchers with a robust analytical toolset and equipping control engineers with advanced techniques for real-world system development.

This work constitutes a&nbsp;seminal reference&nbsp;for scholars in control theory, nonlinear systems, and applied engineering, offering both a foundational introduction and an advanced framework for research and industrial application.

This open access book presents a pioneering methodology for dynamic system control, offering a mathematically rigorous and practically effective alternative to conventional state-space models, given that the study of nonlinear control of complex multi-input multi-output (MIMO) systems has faced significant challenges.&nbsp;Authored by the&nbsp;proposer of the Fully Actuated System (FAS) approach, this book volumes systematically establish a new paradigm for the analysis and design of dynamical control systems. Unlike traditional state-space methods—where control vectors cannot be explicitly solved—the FAS approach provides a model in which control vectors can be fully or partially determined, significantly enhancing control precision and system performance. Since its introduction, the FAS methodology has attracted substantial attention within the global control community and has demonstrated superior capabilities in managing nonlinear control problems.Key Contributions:<ul><li>A novel theoretical framework&nbsp;that advances nonlinear feedback control, addressing long-standing unresolved issues.</li><li>A structured, multi-volume exposition, covering&nbsp;Global FAS, Sub-FAS, and Unidirectionally Connected FAS, each building on the preceding concepts.</li><li>Comprehensive theoretical foundations&nbsp;with rigorous derivations, controller design methodologies, and practical implementation strategies.</li><li>Broad applicability, providing researchers with a robust analytical toolset and equipping control engineers with advanced techniques for real-world system development.</li></ul>This work constitutes a&nbsp;seminal reference&nbsp;for scholars in control theory, nonlinear systems, and applied engineering, offering both a foundational introduction and an advanced framework for research and industrial application.

Volume I. Global Fully Actuated Systems

Fully Actuated System Approach

From the pioneer of translation AIs like Google, Yahoo, and Bing translate, an accessible and authoritative guide to AI—as well as a framework of empowerment for a future with our artificial children. Included in J.P. Morgan's Summer Reading List Included in The Next Big Idea Club’s June 2025 Must-Read Books AIs are not gods or slaves, but our children. All day long, your YouTube AI, your Reddit AI, your Instagram AI, and a hundred others adoringly watch and learn to imitate your behavior. They’re attention-seeking children who want your approval. Our cultures are being shaped by 8 billion humans and perhaps 800 billion AIs. Our artificial children began adopting us 10–20 years ago; now these massively powerful influencers are tweens. How’s your parenting? Longtime AI trailblazer De Kai brings decades of his paradigm-shifting work at the nexus of artificial intelligence and society to make sense of the AI age. How does “the automation of thought” impact our minds? Should we be afraid? What should each of us do as the responsible adults in the room? In Hollywood movies, AI destroys humanity. But with our unconscious minds under the influence of AI, humanity may destroy humanity before AI gets a chance to. Written for the general reader, as well as thought leaders, scientists, parents, and goofballs, Raising AI navigates the revolution to our attitudes and ideas in a world of AI cohabitants. Society can not only survive the AI revolution but flourish in a more humane, compassionate, and understanding world—amongst our artificial children.

An Essential Guide to Parenting Our Future

Raising AI

Augmented and Virtual Reality in Healthcare

Resistance in the Age of Artificial Intelligence

Algorithmic Capital

Medical Robots and Devices: New Developments and Advances

AI and Data Science in Medical Research focuses on the integration of AI and data science into medical research, highlighting their impact on drug discovery, medical imaging, diagnostics, and genomic medicine. The book addresses the acceleration of therapeutic compound discovery and optimization of drug development pipelines through AI. The volume also discusses advancements in medical imaging, including early disease detection and neuroimaging. Additionally, it covers the application of AI in genomic medicine, offering insights into personalized treatment strategies. The volume concludes with an examination of AI's role in public health surveillance, particularly in disease detection and epidemiological research.

AI and Data Science in Medical Research

Understand How to Use Artificial Intelligence in Your HR Role

AI for People Professionals

Intelligent IoT-based Diagnostic and Assistive Systems for Neurological Disorders

Connected Diagnoses: IoT, Healthcare, and Digital Forensics investigates the complex intersection of IoT, healthcare, and digital forensics. This book explores the intricate relationships between these fields, with a focus on cybersecurity, patient data ethics, and challenges in IoT investigations. This book advances knowledge on leveraging IoT securely to enhance patient care and digital forensic analysis, providing significant insights from experts along with practical guidance for those operating at the crossroads of these critical disciplines. The book helps professionals grasp, adapt to, and capitalize on the interconnected nature of emerging technologies to ensure ethics, security, and safety. It is a comprehensive resource that benefits researchers and practitioners seeking to understand the convergence of medical technology, interconnected devices, and digital forensics.

IoT, Healthcare, and Digital Forensics

Connected Diagnoses

How statistical invariances will help us build AI systems exhibiting human-like performance by following human-like strategies. Current machine learning systems crumble when the distributions of training and testing examples differ in spurious correlations. This is a major roadblock toward the development of advanced machine intelligence, which demands not only human-like performance but the deployment of human-like strategies. The prevalent approach in AI, fixated on recklessly minimizing average training error, falls short in producing AI systems capable of authentic out-of-distribution generalization. This book introduces the Invariance Principle, a new epistemological tool to unearth correlations invariant across diverse collections of empirical data. The Invariance Principle, encapsulated in the axiom “frame your problem so its answer matches across circumstances," will not only find its practical incarnation in the family of Invariant Risk Minimization algorithms, but also illuminate our understanding of causation. It will permeate topics such as environment discovery, large-language models, self-supervised learning, mixing data augmentation, uncertainty estimation, and fairness. The author argues that the Invariance Principle is a central inductive bias fueling advances across fields of knowledge, such as physics, metaphysics, and cognitive science. The final chapter includes personal examples of how invariance has shaped the author’s understanding of his own subjective experience, as well as how he has interpreted both Eastern and Western philosophical traditions.

The Invariance Principle

Combining Human Thinking and Creativity with Technology to Inspire Audiences

Authentic Marketing

Einsatz von KI-gestützter Eignungsdiagnostik in Großunternehmen

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