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Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges
The latest advances in Artificial Intelligence and (deep) Machine Learning in particular revealed a major drawback of modern intelligent systems, namely the inability to explain their decisions in a way that humans can easily understand. While eXplainable AI rapidly became an active area of research in response to this need for improved understandability and trustworthiness, the field of Knowledge Representation and Reasoning (KRR) has on the other hand a long-standing tradition in managing information in a symbolic, human-understandable form. This book provides the first comprehensive collection of research contributions on the role of knowledge graphs for eXplainable AI (KG4XAI), and the p...
Human Language
A unique overview of the human language faculty at all levels of organization. Language is not only one of the most complex cognitive functions that we command, it is also the aspect of the mind that makes us uniquely human. Research suggests that the human brain exhibits a language readiness not found in the brains of other species. This volume brings together contributions from a range of fields to examine humans' language capacity from multiple perspectives, analyzing it at genetic, neurobiological, psychological, and linguistic levels. In recent decades, advances in computational modeling, neuroimaging, and genetic sequencing have made possible new approaches to the study of language, an...
The Rise of Virulence and Antibiotic Resistance in Staphylococcus aureus
Staphylococcus aureus S. aureus is a growing issue both within hospitals and community because of its virulence determinants and the continuing emergence of new strains resistant to antimicrobiotics. In this book, we present the state of the art of S. aureus virulence mechanisms and antibiotic-resistance profiles, providing an unprecedented and comprehensive collection of up-to-date research about the evolution, dissemination, and mechanisms of different staphylococcal antimicrobial resistance patterns alongside bacterial virulence determinants and their impact in the medical field. We include several review chapters to allow readers to better understand the mechanisms of methicillin resistance, glycopeptide resistance, and horizontal gene transfer and the effects of alterations in S. aureus membranes and cell walls on drug resistance. In addition, we include chapters dedicated to unveiling S. aureus pathogenicity with the most current research available on S. aureus exfoliative toxins, enterotoxins, surface proteins, biofilm, and defensive responses of S. aureus to antibiotic treatment.
Macrophages
Macrophages were first discovered in 1882 when Elia Metchnikoff recognized them as important phagocytic cells that can engulf any foreign material, including fungal spores. This discovery has proved to be a milestone in establishing the field of innate immunity. Macrophages are still ruling the area after 140 years of their discovery. This book explores the diverse role of macrophages in vertebrate immunity, parasitic, bacterial, and viral infections, regeneration, inflammation, and neurological diseases.
Myc as a Disease Target Beyond Cancer
Myc is a pleiotropic transcription factor fundamental for many cellular processes. It is an infamous and highly-studied oncogene, with around 10,000 articles published in the last decade. The majority of these link it to cancer. The focus on Myc as a hot target in cancer has led to immense efforts – from academia through to pharmaceutical companies – being directed towards finding a Myc inhibitor. Not surprisingly, given its fundamental nature in many physiological processes, Myc has also been linked to a large variety of pathologies other than cancer. The growing efforts to develop Myc inhibitors as cancer therapies will have important implications for the treatment of these diseases to...
Text, Speech and Dialogue
This book constitutes the refereed proceedings of the 17th International Conference on Text, Speech and Dialogue, TSD 2013, held in Brno, Czech Republic, in September 2014. The 70 papers presented together with 3 invited papers were carefully reviewed and selected from 143 submissions. They focus on topics such as corpora and language resources; speech recognition; tagging, classification and parsing of text and speech; speech and spoken language generation; semantic processing of text and speech; integrating applications of text and speech processing; automatic dialogue systems; as well as multimodal techniques and modelling.
Large Language Models
Large Language Models (LLMs) have emerged as a cornerstone technology, transforming how we interact with information and redefining the boundaries of artificial intelligence. LLMs offer an unprecedented ability to understand, generate, and interact with human language in an intuitive and insightful manner, leading to transformative applications across domains like content creation, chatbots, search engines, and research tools. While fascinating, the complex workings of LLMs -- their intricate architecture, underlying algorithms, and ethical considerations -- require thorough exploration, creating a need for a comprehensive book on this subject. This book provides an authoritative exploration...
Conversational AI
This book provides a comprehensive introduction to Conversational AI. While the idea of interacting with a computer using voice or text goes back a long way, it is only in recent years that this idea has become a reality with the emergence of digital personal assistants, smart speakers, and chatbots. Advances in AI, particularly in deep learning, along with the availability of massive computing power and vast amounts of data, have led to a new generation of dialogue systems and conversational interfaces. Current research in Conversational AI focuses mainly on the application of machine learning and statistical data-driven approaches to the development of dialogue systems. However, it is impo...
Formal Methods: Foundations and Applications
This book constitutes the refereed proceedings of the 23rd Brazilian Symposium on Formal Methods, SBMF 2020, which was supposed to take place in Ouro Preto, Brazil, in November 2020. Instead the symposium took place virtually due to the COVID-19 pandemic. The 10 regular papers presented together with 3 invited talks in this book were carefully reviewed and selected from 17 submissions. The papers are organized in topical sections such as: experience reports; models, languages and semantics; and software product lines. Chapter ‘Safety Assurance of a High Voltage Controller for an Industrial Robotic System’ is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Speech and Computer
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