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  • 1
    Online Resource
    Online Resource
    Cambridge, Mass. :MIT Press,
    UID:
    almafu_9958073185202883
    Format: 1 online resource (x, 396 p. ) , ill. ;
    ISBN: 0-262-27691-7 , 0-585-49021-X
    Content: These essays draw on work in the history and philosophy of science, the philosophy of mind and language, the development of concepts in children, conceptual change in adults, and reasoning in human and artificial systems.Explanations seem to be a large and natural part of our cognitive lives. As Frank Keil and Robert Wilson write, "When a cognitive activity is so ubiquitous that it is expressed both in a preschooler's idle questions and in work that is the culmination of decades of scholarly effort, one has to ask whether we really have one and the same phenomenon or merely different cognitively based phenomena that are loosely, or even metaphorically, related."This book is unusual in its interdisciplinary approach to that ubiquitous activity. The essays address five basic questions about explanation: How do explanatory capacities develop? Are there kinds of explanation? Do explanations correspond to domains of knowledge? Why do we seek explanations, and what do they accomplish? How central are causes to explanation? The essays draw on work in the history and philosophy of science, the philosophy of mind and language, the development of concepts in children, conceptual change in adults, and reasoning in human and artificial systems. They also introduce emerging perspectives on explanation from computer science, linguistics, and anthropology.ContributorsWoo-kyoung Ahn, William F. Brewer, Patricia W. Cheng, Clark A. Chinn, Andy Clark, Robert Cummins, Clark Glymour, Alison Gopnik, Christine Johnson, Charles W. Kalish, Frank C. Keil, Robert N. McCauley, Gregory L. Murphy, Ala Samarapungavan, Herbert A. Simon, Paul Thagard, Robert A. Wilson
    Note: "A Bradford book." , Explaining explanation / Frank C. Keil and Robert A. Wilson -- Discovering explanations / Herbert A. Simon -- The naturalness of religion and the unnaturalness of science / Robert N. McCauley -- The shadows and shallows of explanation / Robert A. Wilson and Frank C. Keil -- "How does it work?" versus "What are the laws?": two conceptions of psychological explanation / Robert Cummins -- Twisted tales: causal complexity and cognitive scientific explanation / Andy Clark -- Bayes nets as psychological models / Clark Glymour -- The role of mechanism beliefs in causal reasoning / Woo-kyoung Ahn and Charles W. Kalish -- Causality in the mind: estimating contextual and conjunctive power / Patricia W. Cheng -- Explaining disease: correlations, causes, and mechanisms / Paul Thagard -- Explanation in scientists and children / William F. Brewer, Clark A. Chinn, and Ala Samarapungavan -- Explanation as orgasm and the drive for causal knowledge: the function, evolution, and phenomenology of the theory formation system / Alison Gopnik -- Explanatory knowledge and conceptual combination / Christine Johnson and Frank Keil -- Explanatory concepts / Gregory L. Murphy. , Also available via the World Wide Web. , English
    Additional Edition: ISBN 0-262-11249-3
    Language: English
    Keywords: Electronic books. ; Electronic books ; Aufsatzsammlung ; Aufsatzsammlung
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  • 2
    Online Resource
    Online Resource
    Oxford :Clarendon Press ;
    UID:
    almafu_9958061141602883
    Format: 1 online resource (x, 274 p. ) , ill. (some col.) ;
    ISBN: 0-585-15337-X
    Content: In the Art Universe, Barrow explores the close ties between our aesthetic appreciation and the basic nature of the Universe, challenging the commonly held view that our sense of beauty is entirely free and unfettered. Barrow argues that the laws of the Universe, its environments and its astronomical appearance, have imprinted themselves upon our thoughts and actions in subtle and unexpected ways. Why do we like certain types of art or music? What games and puzzles do we find challenging? Why do so many myths and legends have common elements? Who created the cornucopia of constellations in the night sky? And why? In this eclectic and entertaining survey, Barrow answers these questions and more as he explains how the landscape of the Universe has influenced the development of philosophy and mythology, and how millions of years of evolutionary history have fashioned our attraction to certain patterns of sound and color. Barrow casts the story of human creativity and thought in a fascinating light, considering such diverse topics as our instinct for language, the origins and uses of color in Nature, why we divide time into intervals as we do, the sources of our appreciation of landscape painting, and whether computer-generated fractal art is really art. Barrow reconsiders the question of whether intelligent extraterrestrial life exists, showing that the benefits (and even the likelihood) that might follow from the discovery of life on other worlds could be very different from what we might have been led to expect. Remarkably, we find that some of the properties of the Universe that are essential for the existence of any form of life play a key role in determining psychological and religious responses to the Cosmos.
    Note: Bibliographic Level Mode of Issuance: Monograph , Tales of the unexpected -- The impact of evolution -- Size, life, and landscape -- The heavens and the Earth -- The natural history of noise -- All's well that ends well. , English
    Additional Edition: ISBN 0-19-853996-7
    Language: English
    Keywords: Electronic books. ; Electronic books.
    URL: Full text  (Click to View (Currently Only Available on Campus))
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  • 3
    UID:
    almahu_9949767382902882
    Format: 1 online resource (249 pages)
    Edition: 1st ed.
    ISBN: 9783031548277
    Note: Intro -- Foreword by Florian Schütz -- Foreword by Jan Kleijssen -- Preface -- Acknowledgments -- Contents -- List of Contributors -- Reviewers -- Acronyms -- Part I Introduction -- 1 From Deep Neural Language Models to LLMs -- 1.1 What LLMs Are and What LLMs Are Not -- 1.2 Principles of LLMs -- 1.2.1 Deep Neural Language Models -- 1.2.2 Generative Deep Neural Language Models -- 1.2.3 Generating Text -- 1.2.4 Memorization vs Generalization -- 1.2.5 Effect of the Model and Training Dataset Size -- References -- 2 Adapting LLMs to Downstream Applications -- 2.1 Prompt Optimization -- 2.2 Pre-Prompting and Implicit Prompting -- 2.3 Model Coordination: Actor-Agents -- 2.4 Integration with Tools -- 2.5 Parameter-Efficient Fine-Tuning -- 2.6 Fine-Tuning -- 2.7 Further Pretraining -- 2.8 From-Scratch Re-Training -- 2.9 Domain-Specific Distillation -- References -- 3 Overview of Existing LLM Families -- 3.1 Introduction -- 3.2 Pre-Transformer LLMs -- 3.3 BERT and Friends -- 3.4 GPT Family Proper -- 3.5 Generative Autoregressors (GPT Alternatives) -- 3.6 Compute-Optimal Models -- 3.6.1 LLaMA Family -- 3.7 Full-Transformer/Sequence-to-Sequence Models -- 3.8 Multimodal and Mixture-of-Experts Models -- 3.8.1 Multimodal Visual LLMs -- 3.8.2 Pathways Language Model, PaLM -- 3.8.3 GPT-4 and BingChat -- References -- 4 Conversational Agents -- 4.1 Introduction -- 4.2 GPT Related Conversational Agents -- 4.3 Alternative Conversational Agent LLMs -- 4.3.1 Conversational Agents Without Auxiliary Capabilities -- 4.3.2 Conversational Agents With Auxiliary Capabilities -- 4.3.2.1 Models With Non-Knowledge Auxiliary Capabilities -- 4.4 Conclusion -- References -- 5 Fundamental Limitations of Generative LLMs -- 5.1 Introduction -- 5.2 Generative LLMs Cannot Be Factual -- 5.3 Generative LLMs With Auxiliary Tools Still Struggle To Be Factual. , 5.4 Generative LLMs Will Leak Private Information -- 5.5 Generative LLMs Have Trouble With Reasoning -- 5.6 Generative LLMs Forget Fast and Have a Short Attention Span -- 5.7 Generative LLMs Are Only Aware of What They Saw at Training -- 5.8 Generative LLMs Can Generate Highly Inappropriate Texts -- 5.9 Generative LLMs Learn and Perpetrate Societal Bias -- References -- 6 Tasks for LLMs and Their Evaluation -- 6.1 Introduction -- 6.2 Natural Language Tasks -- 6.2.1 Reading Comprehension -- 6.2.2 Question Answering -- 6.2.3 Common Sense Reasoning -- 6.2.4 Natural Language Generation -- 6.3 Conclusion -- References -- Part II LLMs in Cybersecurity -- 7 Private Information Leakage in LLMs -- 7.1 Introduction -- 7.2 Information Leakage -- 7.3 Extraction -- 7.4 Jailbreaking -- 7.5 Conclusions -- References -- 8 Phishing and Social Engineering in the Age of LLMs -- 8.1 LLMs in Phishing and Social Engineering -- 8.2 Case Study: Orchestrating Large-Scale Scam Campaigns -- 8.3 Case Study: Shā Zhū Pán Attacks -- References -- 9 Vulnerabilities Introduced by LLMs Through Code Suggestions -- 9.1 Introduction -- 9.2 Relationship Between LLMs and Code Security -- 9.2.1 Vulnerabilities and Risks Introduced by LLM-Generated Code -- 9.3 Mitigating Security Concerns With LLM-Generated Code -- 9.4 Conclusion and The Path Forward -- References -- 10 LLM Controls Execution Flow Hijacking -- 10.1 Faulting Controls: The Genesis of Execution Flow Hijacking -- 10.2 Unpacking Execution Flow: LLMs' Sensitivity to User-Provided Text -- 10.3 Examples of LLMs Execution Flow Attacks -- 10.4 Securing Uncertainty: Security Challenges in LLMs -- 10.5 Security by Design: Shielding Probabilistic Execution Flows -- References -- 11 LLM-Aided Social Media Influence Operations -- 11.1 Introduction -- 11.2 Salience of LLMs -- 11.3 Potential Impact -- 11.4 Mitigation -- References. , 12 Deep(er) Web Indexing with LLMs -- 12.1 Introduction -- 12.2 Innovation Through Integration of LLMs -- 12.3 Navigating Complexities: Challenges and Mitigation Strategies -- 12.3.1 Desired Behavior of LLM-Based Search Query Creation Tools -- 12.3.2 Engineering Challenges and Mitigations -- 12.3.2.1 Ethical and Security Concerns -- 12.3.2.2 Fidelity of Query Responses and Model Accuracy -- 12.3.2.3 Linguistic and Regulatory Variations -- 12.3.2.4 Handling Ambiguous Queries -- 12.4 Key Takeaways -- 12.5 Conclusion and Reflections -- References -- Part III Tracking and Forecasting Exposure -- 13 LLM Adoption Trends and Associated Risks -- 13.1 Introduction -- 13.2 In-Context Learning vs Fine-Tuning -- 13.3 Adoption Trends -- 13.3.1 LLM Agents -- 13.4 Potential Risks -- References -- 14 The Flow of Investments in the LLM Space -- 14.1 General Context: Investments in the Sectors of AI, ML, and Text Analytics -- 14.2 Discretionary Evidence -- 14.3 Future Work with Methods Already Applied to AI and ML -- References -- 15 Insurance Outlook for LLM-Induced Risk -- 15.1 General Context of Cyber Insurance -- 15.1.1 Cyber-Risk Insurance -- 15.1.2 Cybersecurity and Breaches Costs -- 15.2 Outlook for Estimating the Insurance Premia of LLMs Cyber Insurance -- References -- 16 Copyright-Related Risks in the Creation and Useof ML/AI Systems -- 16.1 Introduction -- 16.2 Concerns of Owners of Copyrighted Works -- 16.3 Concerns of Users Who Incorporate Content Generated by ML/AI Systems Into Their Creations -- 16.4 Mitigating the Risks -- References -- 17 Monitoring Emerging Trends in LLM Research -- 17.1 Introduction -- 17.2 Background -- 17.3 Data and Methods: Noun Extraction -- 17.4 Results -- 17.4.1 Domain Experts Validation and Interpretations -- 17.5 Discussion, Limitations and Further Research -- 17.6 Conclusion -- References -- Part IV Mitigation. , 18 Enhancing Security Awareness and Education for LLMs -- 18.1 Introduction -- 18.2 Security Landscape of LLMs -- 18.3 Foundations of LLM Security Education -- 18.4 The Role of Education in Sub-Areas of LLM Deployment and Development -- 18.5 Empowering Users Against Security Breaches and Risks -- 18.6 Advanced Security Training for LLM Users -- 18.7 Conclusion and the Path Forward -- References -- 19 Towards Privacy Preserving LLMs Training -- 19.1 Introduction -- 19.2 Dataset Pre-processing with Anonymization and De-duplication -- 19.3 Differential Privacy for Fine-Tuning Models -- 19.4 Differential Privacy for Deployed Models -- 19.5 Conclusions -- References -- 20 Adversarial Evasion on LLMs -- 20.1 Introduction -- 20.2 Evasion Attacks in Image Classification -- 20.3 Impact of Evasion Attacks on the Theory of Deep Learning -- 20.4 Evasion Attacks for Language Processing and Applicability to Large Language Models -- References -- 21 Robust and Private Federated Learning on LLMs -- 21.1 Introduction -- 21.1.1 Peculiar Challenges of LLMs -- 21.2 Robustness to Malicious Clients -- 21.3 Privacy Protection of Clients' Data -- 21.4 Synthesis of Robustness and Privacy -- 21.5 Concluding Remarks -- References -- 22 LLM Detectors -- 22.1 Introduction -- 22.2 LLMs' Salience -- 22.2.1 General Detectors -- 22.2.2 Specific Detectors -- 22.3 Potential Mitigation -- 22.3.1 Watermarking -- 22.3.2 DetectGPT -- 22.3.3 Retrieval Based -- 22.4 Mitigation -- References -- 23 On-Site Deployment of LLMs -- 23.1 Introduction -- 23.2 Open-Source Development -- 23.3 Technical Solution -- 23.3.1 Serving -- 23.3.2 Quantization -- 23.3.3 Energy Costs -- 23.4 Risk Assessment -- References -- 24 LLMs Red Teaming -- 24.1 History and Evolution of Red-Teaming Large Language Models -- 24.2 Making LLMs Misbehave -- 24.3 Attacks -- 24.3.1 Classes of Attacks on Large Language Models. , 24.3.1.1 Prompt-Level Attacks -- 24.3.1.2 Contextual Limitations: A Fundamental Weakness -- 24.3.1.3 Mechanisms of Distractor and Formatting Attacks -- 24.3.1.4 The Role of Social Engineering -- 24.3.1.5 Integration of Fuzzing and Automated Machine Learning Techniques for Scalability -- 24.4 Datasets -- 24.5 Defensive Mechanisms Against Manual and Automated Attacks on LLMs -- 24.6 The Future -- Appendix -- References -- 25 Standards for LLM Security -- 25.1 Introduction -- 25.2 The Cybersecurity Landscape -- 25.2.1 MITRE CVEs -- 25.2.2 CWE -- 25.2.3 MITRE ATT& -- CK and Cyber Kill Chain -- 25.3 Existing Standards -- 25.3.1 AI RMF Playbook -- 25.3.2 OWASP Top 10 for LLMs -- 25.3.3 AI Vulnerability Database -- 25.3.4 MITRE ATLAS -- 25.4 Looking Ahead -- References -- Part V Conclusion -- 26 Exploring the Dual Role of LLMs in Cybersecurity: Threats and Defenses -- 26.1 Introduction -- 26.2 LLM Vulnerabilities -- 26.2.1 Security Concerns -- 26.2.1.1 Data Leakage -- 26.2.1.2 Toxic Content -- 26.2.1.3 Disinformation -- 26.2.2 Attack Vectors -- 26.2.2.1 Backdoor Attacks -- 26.2.2.2 Prompt Injection Attacks -- 26.2.3 Testing LLMs -- 26.3 Code Creation Using LLMs -- 26.3.1 How Secure is LLM-Generated Code? -- 26.3.2 Generating Malware -- 26.4 Shielding with LLMs -- 26.5 Conclusion -- References -- 27 Towards Safe LLMs Integration -- 27.1 Introduction -- 27.2 The Attack Surface -- 27.3 Impact -- 27.4 Mitigation -- References.
    Additional Edition: Print version: Kucharavy, Andrei Large Language Models in Cybersecurity Cham : Springer International Publishing AG,c2024 ISBN 9783031548260
    Language: English
    Keywords: Electronic books. ; Electronic books.
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  • 4
    UID:
    almahu_9949931016902882
    Format: VI, 220 p. , online resource.
    Edition: 1st ed. 2024.
    ISBN: 9783031742569
    Series Statement: Humanism in Business Series,
    Content: Many workers already report that they are alienated from their jobs and find their workplaces to be stifling or uninviting and expect that the introduction of new technologies, including AI, will only worsen their organizational culture. This book outlines the need for a humane and responsible approach to technology, so that employees are not further disengaged from the workplace. This shift in approach should mean that when AI is introduced into an organization, workers have a central role in the design, implementation, and evaluation of this technology. Computer technology can thus promote human flourishing instead of contributing to alienation and security in workplaces. This book is a throwback to a time when high theory was an important part of discussions about computer technology. It brings together diverse disciplines to interrogate some important issues facing the development and application of AI, ultimately concluding that this technology is currently being guided by the wrong theory and a humanistic perspective is needed to access its full potential. The ideas presented will be of great interest to scholars and students of AI who focus on the workplace, organizational behavior, and business ethics. John W. Murphy is Professor of Sociology at the University of Miami, USA. He is a social philosopher who works in the areas of technological studies, community planning, and organizational theory. Carlos Largacha-Martínez is Research Professor from the School of Management at the Fundación Universitaria del Área Andina, Colombia. He is a social futurist and quantic humanist who works in the areas of HCAI, humanistic management, and organizational behaviour.
    Note: Introduction -- Chapter1 :Contextualizing AI -- Chapter2 :Imagery and Knowledge -- Chapter3 :In the Loop but not in the World -- Chapter4 :AI and the Natural Language Dilemma -- Chapter5 :Human-Centric AI -- Chapter6 :AI and Moral Behavior -- Chapter7 :Introducing AI into Organizations -- Chapter8 :AI and Capitalism -- Chapter9 :Colonization and AI.-Conclusion.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783031742552
    Additional Edition: Printed edition: ISBN 9783031742576
    Additional Edition: Printed edition: ISBN 9783031742583
    Language: English
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  • 5
    UID:
    almahu_9949685719502882
    Format: XXI, 485 p. 141 illus., 107 illus. in color. , online resource.
    Edition: 1st ed. 2024.
    ISBN: 9789819998364
    Series Statement: Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications,
    Content: This groundbreaking proceedings volume explores the integration of Artificial Intelligence (AI) across key domains-healthcare, finance, education, robotics, industrial and other engineering applications -unveiling its transformative potential and practical implications. With a multidisciplinary lens, it transcends technical aspects, fostering a comprehensive understanding while bridging theory and practice. Approaching the subject matter with depth, the book combines theoretical foundations with real-world case studies, empowering researchers, professionals, and enthusiasts with the knowledge and tools to effectively harness AI. Encompassing diverse AI topics-machine learning, natural language processing, computer vision, data analytics and supervisory control - the volume showcases state-of-the-art techniques propelling AI advancements. Structured into four parts: Part 1: Artificial Intelligence (AI), explores evolving deep neural networks, reinforcement learning, and explainable AI, providing a deep dive into the technical foundations of AI advancements. Part 2: Robotics and Control Systems, delves into the integration of AI in robotics and automatic control, addressing supervisory control, automated robotic movement coordination, anomaly detection, dynamic programming, and fault tolerance, offering insights into the evolving landscape of intelligent automation. Part 3: AI and Society, examines the societal impact of AI through chapters on ethical considerations, economic growth, environmental engagements, and hazard management, providing a holistic perspective on AI's role in shaping society. Part 4: PhD Symposium, presents the future of AI through cutting-edge research, covering legal and ethical dimensions, privacy considerations, and computationally efficient solutions, offering a glimpse into the next generation of AI advancements. Catering to a diverse audience-from industry leaders to students-the volume consolidates the expertise of renowned professionals, serving as a comprehensive resource for navigating the ever-evolving AI landscape. An essential reference for those staying at the forefront of AI developments. .
    Note: Advances in AI - NLP, Vision, Voice, and Self-taught AI Systems -- Soft Computing and Evolutionary Computing -- Neuro Evolutionary Techniques -- Innovations in AI methods, techniques, and algorithms -- Explainable AI -- AI and Robotics -- AI and Automatic Control -- AI and Cloud -- AI and IoT -- Intelligent Engineering Systems, Expert Systems -- Knowledge-Based Systems.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789819998357
    Additional Edition: Printed edition: ISBN 9789819998371
    Additional Edition: Printed edition: ISBN 9789819998388
    Language: English
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  • 6
    UID:
    almahu_9947552392102882
    Format: XV, 583 p. 75 illus. , online resource.
    ISBN: 9783319893662
    Series Statement: Lecture Notes in Computer Science, 10803
    Content: This book is Open Access under a CC BY licence.
    Note: Semantics -- Non-angelic Concurrent Game Semantics -- A Trace Semantics for System F Parametric Polymorphism -- Categorical Combinatorics for Non Deterministic Strategies on Simple Games -- A Syntactic View of Computational Adequacy -- Linearity -- A New Linear Logic for Deadlock-Free Session-Typed Processes -- A Double Category Theoretic Analysis of Graded Linear Exponential Comonads -- Depending on Session-Typed Processes -- FabULous Interoperability for ML and a Linear Language -- Concurrency -- Automata for True Concurrency Properties -- A Theory of Encodings and Expressiveness -- A Framework for Parameterized Monitorability -- Logics for Bisimulation and Divergence -- Lambda-Calculi and Types -- Call-by-need, Neededness and All That -- Fitch-Style Modal Lambda Calculi -- Realizability Interpretation and Normalization of Typed Call-by-Need -- Quotient Inductive-Inductive Types -- Category Theory and Quantum Control -- Guarded Traced Categories -- Proper Semirings and Proper Convex Functors -- From Symmetric Pattern-Matching to Quantum Control -- Quantitative Models -- The Complexity of Graph-Based Reductions for Reachability in Markov Decision Processes -- A Hierarchy of Scheduler Classes for Stochastic Automata -- Symbolically Quantifying Response Time in Stochastic Models using Moments and Semirings -- Comparator Automata in Quantitative Verification -- Logics and Equational Theories -- Modular Tableaux Calculi for Separation Theories -- Differential Calculus with Imprecise Input and its Logical Framework -- The Effects of Adding Reachability Predicates in Propositional Separation Logic -- The Equational Theory of the Natural Join and of Inner Union is Decidable -- Graphs and Automata -- Minimization of Graph Weighted Models over Circular Strings -- Games on Graphs with a Public Signal Monitoring -- WQO Dichotomy for 3-Graphs -- Verifying Higher-Order Functions with Tree Automata.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783319893655
    Language: English
    Keywords: Konferenzschrift
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  • 7
    UID:
    almafu_9961133530802883
    Format: 1 online resource (ix, 310 pages) : , illustrations.
    Series Statement: Translation and multilingual natural language processing ; volume 22
    Content: The present work explores computer-assisted simultaneous interpreting (CASI) from a primarily cognitive perspective. Despite concerns over the potentially negative impact of computer-assisted interpreting (CAI) tools on interpreters' cognitive load (CL), this hypothesis remains untested. Previous research is restricted to the evaluation of the CASI product and a methodology for the process-oriented evaluation of CASI and the empirical evidence for its cognitive modelling are missing. Overcoming these limitations appears essential to advance CAI research, particularly to foster a deeper understanding of the cognitive aspects of CAI through a validated research methodology and to determine the feasibility of the integration of CAI tools into the interpreting process. This book tests and validates a methodology for the combined exploration of the product and process of CASI. Quantitative and qualitative data were collected during an eyetracking experiment at the Translation & Cognition Centre of the University of Mainz. The study followed a convergent mixed-method and multi-method approach and involved nine interpreting students. Prior to the experimental task, the informants were trained in the use of three terminology support tools: a digital glossary in PDF format, a CAI tool with manual look-up, and a mock-up CAI tool with integrated automatic speech recognition (ASR) for terminology. After several pre-tests, the participants interpreted three speeches from English into their native German using a different tool each time. To increase comparability between the three conditions and control for potentially confounding variables, the speeches were validated during a pilot study. The students' gaze data and deliveries were recorded and analysed. Qualitative data on the informants' perception of the tools were collected post-hoc. In the study, several performance, behavioural, and subjective measures were analysed: terminological accuracy and errors and omissions; glossary queries, ear-voice span, inter-cluster pause duration, time to first fixation, average fixation duration, and fixation time; qualitative questionnaire responses. The findings provide insights into the effects of CAI tools on CL and attention allocation in interpreter-CAI tool interaction during simultaneous interpreting. As this is the first study on in-process CAI tool use with a markedly cognitive orientation, it entails significant implications for the methodological development of CAI research and the design of future studies on cognitive aspects of CASI, while raising additional questions in need of further investigation.
    Note: Contents -- Introduction 1 -- 1 Terminology work in interpreting 7 -- 2 Information technologies and interpreting 25 -- 3 Simultaneous interpreting as a complex cognitive activity 63 -- 4 Measuring cognitive load 105 -- 5 Method 127 -- 6 Results and discussion 173 -- 7 Conclusion 239 -- Speech A 247 -- Speech B 253 -- Speech C 259 -- References 265 -- Index 305 -- Copyright.
    Additional Edition: ISBN 3-9855405-5-1
    Language: English
    Subjects: Comparative Studies. Non-European Languages/Literatures
    RVK:
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  • 8
    Book
    Book
    New York [u.a.] :McGraw-Hill Book Co.,
    UID:
    almafu_BV001923881
    Format: 398 S.
    Series Statement: University of California Engineering and sciences extension series
    Language: English
    Subjects: Computer Science , Economics , Comparative Studies. Non-European Languages/Literatures
    RVK:
    RVK:
    RVK:
    RVK:
    Keywords: Sprache ; Computer ; Computerlinguistik ; Mensch-Maschine-Kommunikation ; Natürliche Sprache ; Aufsatzsammlung ; Aufsatzsammlung ; Aufsatzsammlung ; Aufsatzsammlung ; Aufsatzsammlung
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  • 9
    Online Resource
    Online Resource
    Singapore :Springer Nature Singapore :
    UID:
    almafu_9961946953502883
    Format: 1 online resource (XXXVII, 342 p. 121 illus., 49 illus. in color.)
    Edition: 1st ed. 2025.
    ISBN: 981-9651-29-8
    Content: This book provides an in-depth look at the current development of the fifth-generation mobile communication technology (5G) and artificial intelligence (AI), their technological advantages, application, and critical role in science and technology, as well as their future development trends. This book is divided into three parts. The first part details the current development of 5G around the globe and the evolution from 5G to 5.5G. The second part explores the significant developments in AI technologies, including typical AI technologies such as machine learning (ML), natural language processing (NLP), and computer vision (CV), and the popular foundation model technologies. The third part looks at the impacts of 5G+AI on the digitalization and intelligent development of industries and showcases some of the applications in government, meteorology, education, and healthcare, etc. This book can serve as a reference for a diverse range of readers, such as people in the public sector and the mobile communications industry, and faculty and students in this field.
    Note: Chapter 1:5G Drives New Developments in Global Digital Transformation -- Chapter 2: 5G Development Around the Globe -- Chapter 3: Challenges, Phases, and Trends of 5G Large-Scale Replication -- Chapter 4: Introduction to AI -- Chapter 5: Typical AI Technologies -- Chapter 6: Significant Developments in AI -- Chapter 7: Dawn of the Large Model Era -- Chapter 8: AIToB Entering the Stage of Scale Exploration -- Chapter 9: Challenges of Adopting AI in ToB Scenarios.-Chapter 10: Industries Evolving from Digital to Intelligent -- Chapter 11: Collaborative Development Between 5G and AI: Accelerating Intelligent Industry Upgrade -- Chapter 12 Convergence of 5G and AI: Enabling Industry Intelligence -- Chapter 13: Key Industry Practices -- Chapter 14 Trends and Prospects.
    Additional Edition: ISBN 981-9651-28-X
    Language: English
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  • 10
    Online Resource
    Online Resource
    Cambridge, UK :Open Book Publishers,
    UID:
    almahu_9949616128102882
    Format: 1 online resource (512 pages)
    Edition: 1st ed.
    ISBN: 9781800649545
    Note: Intro -- Author's Biography -- Preface -- Prologue -- PART ONE-ADVENTURE OF IDEAS -- 1. Introduction-Connecting for Health -- 2. Knowledge, Language and Reason-From Ancient Times to the Information Age -- 3. Observation and Measurement-From Cubits to Qubits -- 4. Models and Simulations-The Third Arm of Science -- 5. Information and Engineering-The Interface of Science and Society -- Acknowledgements -- Donors -- _Hlk58915318 -- _Hlk145585828 -- _Hlk94541357 -- _Hlk145585898 -- _Hlk145585926 -- Author's Biography -- Preface -- Prologue -- PART ONE-ADVENTURE OF IDEAS -- 1. Introduction-Connecting for Health -- Information and Health Care-A History of Connections -- An 80:20 Landscape View-The Structure of the Book -- A 2020 Portrait View-People and Ideas -- Transition and Anarchy -- From Physics to Biology -- From Mathematics to Informatics -- A Halfway View -- Parenthesis-Audience -- 2. Knowledge, Language and Reason-From Ancient Times to the Information Age -- Theory of Knowledge -- Libraries and their Classification of Knowledge -- Historical Origins -- Enumerative and Faceted Classification -- The Colon Classification of Shiyali Ramamrita Ranganathan -- The UNESCO Broad System of Ordering (BSO) for Documents and Books -- Languages and their Expression and Communication of Knowledge -- Learning a Language -- Language and Machine -- Precision of Language -- Formalism of Language -- The Language of Mathematics and Logic -- Logic and Reasoning with Knowledge -- Verbal and Mathematical Reasoning -- Computational Reasoning -- Frame Logic -- Description Logic and the Web Ontology Language (OWL) -- Machine Learning and Artificial Intelligence -- Medical Language and Computation -- Natural Language and Medicine -- Nomenclature and Terminology -- SNOMED™-Systematized Nomenclature of Medicine. , GALEN-Generalized Architecture for Languages, Encyclopaedias and Nomenclatures in Medicine -- Further Notable Medical Language and Terminology Initiatives -- UMLS-Uniform Medical Language System -- MeSH-Medical Subject Headings -- ICD-International Classification of Diseases -- LOINC-Logical Observation, Identifiers, Names and Codes -- ICPC-International Classification of Primary Care -- Two Illustrious Pioneers -- Martin Severs -- Alan Rector -- Medical Knowledge Bases -- Pioneering Examples -- Heuristic Dendral-Analyzing Mass Spectra -- MYCIN-Prescribing Antimicrobial Therapy -- PROforma-Modelling Clinical Decision-making Processes -- The Foundational Model of Anatomy (FMA) -- Knowledge, Information and Data -- Parenthesis-Traction -- 3. Observation and Measurement-From Cubits to Qubits -- Datum as 'Omnuscle' -- Observation and Measurement -- Number and Logic -- Symbol and Code -- Ethics -- Philosophy and Natural Science -- Biological Variability -- Clinical Measurement -- Measurement and Professional Practice -- Measurement and Personal Health Care -- Science and Computation -- Data -- Record -- Measurement Sciences, Technologies and Devices -- X-Rays-Radiation Physics -- Imaging -- Radiotherapy -- Crystallography -- Gamma Rays-Nuclear Physics -- Electrophysiology -- Ultrasound -- Photonics -- Nuclear Magnetic Resonance Spectroscopy and Imaging -- Molecular Biology and Bioinformatics -- The Science of Systems -- Parenthesis-Manifold and Balance -- 4. Models and Simulations-The Third Arm of Science -- Purpose and Method -- For Science -- In Education and Training -- Three Sliding Doors -- As Tools of Design and Engineering -- Within Products and Services -- Models beyond Experimental Validation -- Models that Can Lead Astray -- Pioneers of Computational Modelling -- Physics-John Houghton-Modelling Weather and Climate. , Biology and Medicine-Modelling the Human Body -- Arthur Guyton-Modelling the Human Circulatory System -- John Dickinson-Modelling Clinical Physiology-The Mac Series Models -- Denis Noble and Peter Hunter-Virtual Physiological Human and In Silico Medicine -- Georgios Stamatakos and Norbert Graf-The Oncology Simulator -- Exploratory Clinical Applications -- Statistical Modelling of Diagnosis-The Royal College of Physicians of London Computer Group -- Operational Research-Clinical Trials and Epidemiology -- Electrophysiology -- Modelling Ventilation Management -- Modelling and Controlling Cardiovascular Dynamics -- Parenthesis-Purpose -- 5. Information and Engineering-The Interface of Science and Society -- In Praise of Engineers -- Engineering in Context -- Engineers as Innovators-From Steam Engines to Information Engines -- The Information Technology Industry -- Data Processing -- Data Storage -- Data Model and Database -- Information Model -- Knowledge Management -- Software-Algorithm, Data Structure and Computer Program -- Software as Art and Creativity -- Software as Experiment -- Software as Struggle with Imperfection -- Software as Ecosystem and Legacy -- System and Architecture -- Norms, Standards and Standardization -- The Internet and World Wide Web -- The Status Quo -- Parenthesis-Making and Doing Things Differently -- Acknowledgements -- Donors -- _Hlk145578148 -- _Hlk143248618.
    Additional Edition: Print version: Ingram, David Health Care in the Information Society Cambridge, UK : Open Book Publishers,c2023
    Language: English
    Keywords: Electronic books.
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