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This LNCS conference volume constitutes the proceedings of the MICCAI Workshop GRAIL 2023 and MICCAI Challenge OCELOT 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, September 23, and October 4, 2023. The 9 full papers (GRAIL 2023) and 6 full papers (OCELOT 2023) included in this volume were carefully reviewed and selected from GRAIL 14 (GRAIL 2023) and 6 (OCELOT 2023) submissions. The conference GRAIL 2023 a wide set of methods and application and OCELOT 2023 focuses on the cover a wide range of methods utilizing tissue information for better cell detection, in the sense of training strategy, model architecture, and especially how to model cell-tissue relationships.

This book constitutes the refereed post-conference proceedings of the 8th EAI International Conference on Design, Learning, and Innovation, DLI 2023, held in Aalborg, Denmark, during November 6–7, 2023. The 16 full papers included in this book were carefully reviewed and selected from 48 submissions. They were organized in topical sections as follows: innovative approaches to enhancing education and student well-being; innovations in virtual reality (VR) and automated technologies for enhanced user experiences; exploring innovative approaches to learning and design; and innovative learning environments: collaborative approaches and emerging technologies.

This book constitutes the refereed proceedings of the International Conference on Brain Inspired Cognitive Systems, BICS 2023, held in Kuala Lumpur, Malaysia, in August 2023. The 36 full papers included in this book were reviewed and selected from 58 submissions and are organized in thematic sections as follows: Bio-inspired systems and Neural Computation; Image Recognition, Detection and Classification; Vision and Object Tracking; Data Analysis and Machine Learning and Applications.

Membrane computing is a class of distributed and parallel computing models inspired by living cells. Spiking neural P systems are neural-like membrane computing models, representing an interdisciplinary field between membrane computing and artificial neural networks, and are considered one of the third-generation neural networks. Models and applications constitute two major research topics in spiking neural P systems. The entire book comprises two parts: models and applications. In the model part, several variants of spiking neural P systems and fuzzy spiking neural P systems are introduced. Subsequently, their computational completeness is discussed, encompassing digital generation/accepting devices, function computing devices, and language generation devices. This discussion is advantageous for researchers in the fields of membrane computing, biologically inspired computing, and theoretical computer science, aiding in understanding the distributed computing model of spiking neural P systems. In the application part, the application of spiking neural P systems in time series prediction, image processing, sentiment analysis, and fault diagnosis is examined. This offers a novel method and model for researchers in artificial intelligence, data mining, image processing, natural language processing, and power systems. Simultaneously, it furnishes engineering and technical personnel in these fields with a powerful, efficient, reliable, and user-friendly set of tools and methods.

This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully revised and updated, this much-anticipated third edition also includes new material on deep learning.Topics and features:· Presents an application-focused and hands-on approach to learning, with supplementary teaching resources provided at an associated website · Introduces convolutional neural networks as the currently most important type of deep learning networks with applications to image classification (NEW) · Contains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoons · Reports on developments in deep learning, including applications of neural networks to large language models as used in state-of-the-art chatbots as well as to the generation of music and art (NEW) · Includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks, and reinforcement learning · Covers various classical machine learning algorithms and introduces important general concepts such as cross validation, data normalization, performance metrics and data augmentation (NEW)· Includes a section on AI and society, discussing the implications of AI on topics such as employment and transportation Ideal for foundation courses or modules on AI, this easy-to-read textbook offers an excellent overview of the field for students of computer science and other technical disciplines, requiring no more than a high-school level of knowledge of mathematics to understand the material.Dr. Wolfgang Ertel is a professor at the Institute for Artificial Intelligence at the Ravensburg-Weingarten University of Applied Sciences, Germany.

The world stands at a pivotal moment due to the emergence of Generative AI, specifically ChatGPT. This groundbreaking technology has provoked and impressed almost every industry globally, evoking every emotion from awe to anxiety. Many are apprehensive about the future, fearing job losses due to rapid artificial intelligence (AI advancements). But if history has taught us anything, progress, while challenging, often paves the way for broader opportunities and growth. This book explains in depth the core building blocks that make up the current landscape of transformer and language models and, more broadly speaking, AI as a whole. We have seen how the internet and the mobile revolution changed our world. Is AI following a similar trajectory? Are we on the verge of something even more transformative? This book strives to provide a complete picture of the challenges and opportunities and the implications for our shared futures. In subsequent chapters, the book will discuss language models in depth. These are not just algorithms; they represent a nexus of linguistics, cognitive science, and cutting-edge technology. You'll trace AI's unexpected and exhilarating evolution, observing how it has grown from a mere concept to a force reshaping entire industries. Finally, you'll consider the rise of AI in the context of advancements. While ChatGPT has gained significant attention for certain applications, it's essential to recognize that its capabilities extend far beyond what's immediately evident. Artificial Intelligence, represented by models like ChatGPT, is not a static field. It's dynamic and ever-evolving, and its potential applications are broadening each day. Technology is not, by any means, limited to chatbots or translation use cases. This book captures this vast and ever-expanding horizon of possibilities. What You Will Learn How large language models came to be, and how they work What ethical AI design looks like The role of regulation in artificial intelligence Why you should not be afraid of losing your job Who This Book is For Working professionals and students in any field