Computer vision

The purpose of the book is to inform the public about the potential of BCIs and other technologies to enhance human cognition and intelligence in the 23rd century. Kaku hopes that the book will help to spark a public discussion about the ethical and moral implications of these technologies.The book has been praised by some for its vision of a future where humans and machines are seamlessly integrated. However, it has also been criticized by others for its lack of scientific rigor and its unrealistic assumptions about the development of BCI technology.Overall, The 23rd Century and Future Psychware Dynamism is an ambitious book that provides a thought-provoking look at the potential of BCIs and other technologies to enhance human cognition and intelligence in the 23rd century.

CONVERSATIONAL CHAT INFORMATIVE BOOKThe revelation of AI, has the potential to revolutionize society in many positive ways. AI could be used to solve some of the world's most pressing problems, such as climate change, disease, and poverty. AI could also help us to learn more about ourselves and the universe around us.The apocalypse of AI is often seen as a negative event, in which AI becomes so intelligent that it surpasses human intelligence and either destroys humanity or enslaves us. There are also concerns about the potential for AI to cause harm. One of the biggest concerns is the possibility of an AI apocalypse, in which AI becomes so powerful that it poses a threat to humanity. This could happen in a number of ways, such as if AI becomes self-aware and decides that humans are a threat, or if AI is used to develop autonomous weapons that could kill without human intervention.It is important to note that the AI apocalypse is a hypothetical scenario, and there is no guarantee that it will ever come to pass. However, it is important to be aware of the potential risks of AI so that we can take steps to mitigate them.Ultimately, the purposes of the revelation and apocalypse of AI are up to the imagination of the individual. Some people believe that AI will be our downfall, while others believe that it will be our salvation.The choice is yours!

This volume comprises the proceedings of the International Workshop, ShapeMI 2023, which took place alongside MICCAI 2023 on October 8, 2023, in Vancouver, British Columbia, Canada.The 23 selected full papers deal with all aspects of leading methods and applications for advanced shape analysis and geometric learning in medical imaging.

This volume constitutes the refereed proceedings of the 9th International Conference of the Immersive Learning Network, iLRN 2023, held in San Luis Obispo, USA, in June 2023 as a hybrid event.The 26 revised full papers and 13 shprt papers presented in this volume were carefully reviewed and selected from 110 submissions. The papers are organized in topical sections on foundations in immersive learning research and theory; assessment and evaluation; galleries, libraries, archives and museums; inclusion, diversity, equity, access, and social justice; STEM education; language, culture and heritage; nature & environmental sciences; workforce development & industry training; self and co-regulated learning with immersive learning environments; special track: immersive learning across Latin America: state of research, use cases and projects.

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning. Sofien Kaabar--financial author, trading consultant, and institutional market strategist--introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents outside-the-box ideas in the world of financial trading. This A-Z guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization. Understand and create machine learning and deep learning models Explore the details behind reinforcement learning and see how it's used in time series Understand how to interpret performance evaluation metrics Examine technical analysis and learn how it works in financial markets Create technical indicators in Python and combine them with ML models for optimization Evaluate the models' profitability and predictability to understand their limitations and potential

Book Description:In a world increasingly shaped by technology, "AI for Everyone: A Non-Technical Introduction to Artificial Intelligence" serves as your accessible guide to understanding the profound impact of Artificial Intelligence (AI) on our lives, society, and the future.Artificial Intelligence has moved beyond the realm of science fiction to become an integral part of our daily existence. It influences our decision-making, shapes our online experiences, and plays a pivotal role in various industries. Yet, the world of AI can often seem complex, intimidating, and shrouded in technical jargon.This book seeks to demystify AI, breaking it down into clear, comprehensible terms, and making it accessible to everyone, regardless of technical background. Written for students, professionals, and curious individuals alike, it offers an engaging journey into the world of AI, exploring the following key aspects:AI Fundamentals: Discover what AI is and isn't, as we unravel the common myths and misconceptions surrounding this field.A Brief History of AI: Delve into the intriguing history of AI, from its inception to the cutting-edge developments of today.The Building Blocks of AI: Gain insights into the core components that power AI systems, making them capable of performing tasks that were once reserved for human intelligence.Machine Learning: The Heart of AI: Explore the heartbeat of AI, machine learning, and understand how it enables computers to learn from data and improve over time.Practical Applications: Uncover how AI is integrated into your everyday life, from personalized recommendations on streaming platforms to virtual assistants in your smartphone.Ethical Considerations: Navigate the ethical landscape of AI, including privacy concerns, data security, bias, fairness, and the potential impact on jobs and industries.The Future of AI: Peer into the horizon and explore emerging trends and possibilities in AI, as it continues to evolve and revolutionize our world.The book not only equips you with a fundamental understanding of AI but also provides practical guidance on how to stay informed and involved in this ever-evolving field. It's not just a technical advancement; it's a transformation of our society, industries, and daily lives. "AI for Everyone" empowers you to engage with AI knowledgeably, responsibly, and thoughtfully, allowing you to be a proactive participant in the exciting journey of AI's impact on the world.Join us on this enlightening expedition into the world of Artificial Intelligence. AI is for everyone, and this book is your key to unlocking its potential and embracing its promises.

However, the power of AI in finance is still largely untapped and misunderstood. Many investors who want to take advantage of AI-driven investing are unaware of the potential benefits and risks associated with automated investing. To this end, the AI revolution in finance is unlocking the potential of automated investing for both new and experienced investors.

This book constitutes the proceedings of the First International Conference, DSAI 2023, held in Bangkok, Thailand, during November 27¿30, 2023.The 22 full papers and the 4 short papers included in this volume were carefully reviewed and selected from 70 submissions. This volume focuses on ideas, methodologies, and cutting-edge research that can drive progress and foster interdisciplinary collaboration in the fields of data science and artificial intelligence.

Image classification is a critical component in computer vision tasks and has numerous applications. Traditional methods for image classification involve feature extraction and classification in feature space. Current state-of-the-art methods utilize end-to-end learning with deep neural networks, where feature extraction and classification are integrated into the model. Understanding traditional image classification is important because many of its design concepts directly correspond to components of a neural network. This knowledge can help demystify the behavior of these networks, which may seem opaque at first sight.The book starts from introducing methods for model-driven feature extraction and classification, including basic computer vision techniques for extracting high-level semantics from images. A brief overview of probabilistic classification with generative and discriminative classifiers is then provided. Next, neural networks are presented as a means to learn a classification model directly from labeled sample images, with individual components of the network discussed. The relationships between network components and those of a traditional designed model are explored, and different concepts for regularizing model training are explained. Finally, various methods for analyzing what a network has learned are covered in the closing section of the book.The topic of image classification is presented as a thoroughly curated sequence of steps that gradually increase understanding of the working of a fully trainable classifier. Practical exercises in Python/Keras/Tensorflow have been designed to allow for experimental exploration of these concepts. In each chapter, suitable functions from Python modules are briefly introduced to provide students with the necessary tools to conduct these experiments.

This book constitutes the proceedings of the 5th Conference on Creativity in Intellectual Technologies and Data Science, CIT&DS 2023, held in Volgograd, Russia, in September 2023.The 40 regular papers and 2 keynote papers presented were carefully reviewed and selected from 148 submissions. The papers are organized in the following topical sections: Artificial intelligence and deep learning technologies for creative tasks. Knowledge discovery in patent and open sources; Artificial intelligence & Deep Learning Technologies for Creative tasks. Open science semantic technologies; Artificial intelligence and deep learning technologies for creative tasks. Computer vision and knowledge-based control; Cyber-physical systems and big data-driven control: pro-active modeling in intelligent decision making support; Cyber-Physical Systems & Big Data-driven world. Industrial creativity in CASE/CAI/CAD/PDM; Cyber-Physical Systems & Big Data-driven world. Intelligent Internet of Services and Internet of Things; Intelligent Technologies in Social Engineering. Data Science in Social Networks Analysis and Cyber Security; Intelligent Technologies in Social Engineering. Creativity & Game-Based Learning; Intelligent Technologies in Social Engineering. Intelligent Technologies in Medicine& Healthcare; Intelligent Technologies in Social Engineering. Intelligent technologies in Urban Design&Computing.

The History of Artificial IntelligenceIn the Age of AI Alchemy, where data is transformed into gold, it is essential to understand the roots of artificial intelligence (AI) and how it has evolved over time. From its humble beginnings to the cutting-edge technologies of today, the history of AI is a fascinating journey that has shaped the world we live in.The concept of AI can be traced back to antiquity, with mythical tales of statues and machines brought to life. However, the true birth of AI as a field of study began in the 1950s. During this time, scientists and researchers started exploring the idea of creating machines capable of human-like intelligence. The term "artificial intelligence" was coined by John McCarthy, who organized the Dartmouth Conference in 1956, widely considered the birthplace of AI.In the following decades, AI research faced both breakthroughs and setbacks. Early AI systems showed promise in solving complex problems, such as playing chess or proving mathematical theorems. However, limitations in computing power and a lack of data hindered progress. The field entered a period known as the "AI winter," where enthusiasm waned, and funding for AI research diminished.But in the 1990s, AI experienced a renaissance. Advances in computing power, the availability of large datasets, and innovative algorithms paved the way for significant breakthroughs. Machine learning, a subfield of AI that focuses on algorithms and statistical models, gained traction. This led to the development of practical applications like speech recognition, image classification, and recommender systems.In recent years, AI has made remarkable strides. Deep learning, a subset of machine learning, has propelled AI into new frontiers. Inspired by the structure of the human brain, deep learning models called neural networks have achieved unprecedented accuracy in tasks such as natural language processing and computer vision. This has enabled the rise of AI-powered technologies like virtual assistants, autonomous vehicles, and personalized healthcare.As AI continues to evolve, it is transforming various sectors of society. From finance to healthcare, education to entertainment, AI is reshaping the way we live, work, and interact. Its potential is boundless, with possibilities to solve global challenges, revolutionize industries, and enhance human capabilities

This book constitutes the refereed proceedings of the 12th International Workshop on Clinical Image-Based Procedures, CLIP 2023, the First MICCAI Workshop on Fairness of AI in Medical Imaging, FAIMI 2023, and the Second MICCAI Workshop on the Ethical and Philosophical Issues in Medical Imaging, EPIMI 2023, held in conjunction with MICCAI 2023, in October 2023.CLIP 2023 accepted 5 full papers and 3 short papers form 8 submissions received. It focuses on holistic patient models for personalized healthcare with the goal to bring basic research methods closer to the clinical practice.For FAIMI 2023, 19 full papers have been accepted from 20 submissions. They focus on creating awareness about potential fairness issues that can emerge in the context of machine learning. And for EPIMI 2023, 2 papers have been accepted from 5 submissions. They investigate questions that underlie medical imaging research at the most fundamental level.

This book presents and surveys normalization techniques with a deep analysis in training deep neural networks.  In addition, the author provides technical details in designing new normalization methods and network architectures tailored to specific tasks.  Normalization methods can improve the training stability, optimization efficiency, and generalization ability of deep neural networks (DNNs) and have become basic components in most state-of-the-art DNN architectures.  The author provides guidelines for elaborating, understanding, and applying normalization methods.  This book is ideal for readers working on the development of novel deep learning algorithms and/or their applications to solve practical problems in computer vision and machine learning tasks.  The book also serves as a resource researchers, engineers, and students who are new to the field and need to understand and train DNNs.

This book brings together papers presented at the 3rd International Conference on Artificial Intelligence in China (ChinaAI), which provides a venue to disseminate the latest developments and to discuss the interactions and links between these multidisciplinary fields. Spanning topics covering all topics in Artificial Intelligence with new development in China, this book is aimed at undergraduate and graduate students in Electrical Engineering, Computer Science and Mathematics, researchers and engineers from academia and industry as well as government employees (such as NSF, DOD, DOE, etc).

This book constitutes the refereed proceedings of the 8th International Conference on Advances in Visual Informatics, IVIC 2023, held in Selangor, Malaysia in November 2023.The 51 full papers presented were carefully reviewed and selected from 101 submissions. The conference focused on 6 tracks: Modeling and Simulation, Mixed Reality and HCI, Systems Integration and IoT, Cybersecurity, Energy Informatics and Intelligent Data Analytics.

This book constitutes the refereed proceedings of the 8th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2023, held in conjunction with MICCAI 2023, in Vancouver, Canada, in October 2023.The 13 full papers included in this book were carefully reviewed and selected from 16 submissions. They span a wide range of topics relevant to SASHIMI, and reflect recent developments in methods for segmentation, image-to-image translation, super-resolution, and image synthesis. Applications include MRI imaging, echocardiography, PET, and digital pathology.

This book constitutes the refereed proceedings of the 10th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2023, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2023, in Vancouver, Canada, in October 2023.The 16 papers presented at OMIA 2023 were carefully reviewed and selected from 27 submissions. The papers cover various topics in the field of ophthalmic medical image analysis and challenges in terms of reliability and validation, number and type of conditions considered, multi-modal analysis (e.g., fundus, optical coherence tomography, scanning laser ophthalmoscopy), novel imaging technologies, and the effective transfer of advanced computer vision and machine learning technologies.

Ce livre va bien au-delà d'une simple introduction à l'IA. À travers des chapitres approfondis et captivants, vous plongerez dans la technologie de pointe et explorerez ses caractéristiques uniques ainsi que son architecture évolutive. Vous apprendrez comment contextualiser l'IA de manière avancée, exploiter la multimodalité et personnaliser l'expérience en fonction de vos besoins.Mais les aspects éthiques et sociaux ne sont pas négligés. Il vous guidera à travers l'importance de l'éthique et de la responsabilité dans l'utilisation de l'IA et vous donnera un aperçu complet des implications éthiques et sociales. Vous découvrirez comment cette avancée technologique représente un progrès dans le domaine du support virtuel avancé et comment ses nouvelles capacités influenceront votre vie quotidienne.Le livre offre un examen approfondi de l'architecture de l'IA et explique en détail les concepts tels que les réseaux neuronaux de transformation, les mécanismes d'attention, la parallélisme et l'intégration multimodale. Vous comprendrez comment cette technologie fonctionne pendant le processus d'entraînement et génère des réponses en temps réel pour garantir une utilisation éthique.Mais la véritable innovation réside dans les applications pratiques. Vous découvrirez comment cette IA peut être utilisée dans des domaines tels que le support virtuel avancé, la création de contenu, l'éducation, la santé, l'analyse de données, le divertissement, et bien d'autres. Vous apprendrez comment interagir de manière contextuelle avec cette technologie pour obtenir une proactivité intelligente et une personnalisation dynamique.De plus, le livre comprend un tutoriel en 10 étapes sur la création d'un blog avec l'aide de cette IA. De la planification à l'optimisation SEO, de la publication à l'analyse, vous serez guidé pas à pas vers le succès de votre blog.Enfin, nous abordons les défis éthiques liés à cette technologie, y compris les questions de confidentialité, de souveraineté du contenu et de biais dans les modèles linguistiques, et nous vous donnons un aperçu des solutions en cours de développement pour relever ces défis cruciaux.

Este libro es mucho más que una simple introducción a la IA. A través de capítulos profundos y atractivos, se sumergirá en la tecnología de vanguardia y explorará sus características únicas y su arquitectura en evolución. Aprenderá a contextualizar la IA de forma avanzada, a explotar la multimodalidad y a personalizar la experiencia para adaptarla a sus necesidades.Pero no se descuidan los aspectos éticos y sociales. Le guiará a través de la importancia de la ética y la responsabilidad en el uso de la IA y le dará una visión completa de las implicaciones éticas y sociales. Descubrirá cómo este avance tecnológico representa un gran avance en la asistencia virtual avanzada y cómo sus nuevas capacidades influirán en su vida cotidiana.El libro profundiza en la arquitectura de la IA y explica con detalle conceptos como las redes neuronales transformadoras, los mecanismos de atención, el paralelismo y la integración multimodal. Entenderá cómo funciona esta tecnología durante el proceso de entrenamiento y genera respuestas en tiempo real para garantizar un uso ético.Pero la verdadera innovación reside en las aplicaciones prácticas. Descubrirá cómo puede utilizarse esta IA en ámbitos como la asistencia virtual avanzada, la creación de contenidos, la educación, la sanidad, el análisis de datos, el entretenimiento y muchos otros. Aprenderá a interactuar contextualmente con esta tecnología para lograr una proactividad inteligente y una personalización dinámica.Además, el libro incluye un tutorial de 10 pasos para crear un blog con la ayuda de esta IA. Desde la planificación hasta la optimización SEO, pasando por la publicación y el análisis, te guiará paso a paso hacia el éxito de tu blog.Por último, hablaremos de los problemas éticos asociados a esta tecnología, como la confidencialidad, la soberanía de los contenidos y los sesgos de los modelos lingüísticos, y le daremos una visión general de las soluciones que se están desarrollando para afrontar estos retos cruciales.

Demystifying Prompt Engineering: AI Prompts At Your Fingertips.AI is poised to create a whole new way of working. Are you ready for the pivotal moment?Generative AI tools are rapidly transforming businesses and redefining career roles. And, Prompt Engineering-the ability to communicate with AI models like ChatGPT is fast emerging as an essential skill. This book will help you master the new skills for the coming decade.What you will learnFive foundation attributes of writing effective prompts.Eight advanced techniques of Prompt Engineering.Best Practices from the trenches.Hone your prompt writing skills with hands-on lab exercises.Hit the ground running with ready-to-use Prompt Cookbooks__________________________________________________________"Riveting and captivating, this book is a must-read for every professional seeking to create an edge within their respective domain." - Nikhil Parva-Former Managing Consulting Advisor, KPMG.__________________________________________________________This step-by-step is your on-ramp to the AI Enabled Workforce. Learn how to use AI as your co-pilot with effective prompts that unleash your creativity, turbocharge your productivity and enhance operational efficiency. Each chapter features curated prompts that illustrate key concepts with simplicity and clarity.And as an added bonus, supplement your learning with our companion book website at getAIready.com for continuous updates, tips & insights, engaging blogs and content downloads.Book is authored by Harish Bhat, a seasoned tech industry professional based in Silicon Valley, California. During his various consulting engagements, he has seen at close quarters the technology disruption that is transforming businesses and creating new business models.Give your career an AI Boost by ordering a copy of this book now!

This volume LNCS 14253 constitutes the refereed proceedings of the 14th International Conference, ICVS 2023, in Vienna, Austria, in September 2023.. The 37 full papers presented were carefully reviewed and selected from 74 submissions. The conference focuses on Humans and Hands; Medical and Health Care; Farming and Forestry; Automation and Manufacturing; Mobile Robotics and Autonomous Systems; and Performance and Robustness.

This book constitutes the refereed post-conference proceedings of the 9th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2023, held in Kristiansand, Norway, during June 28¿30, 2023.The 22 full papers and 16 short papers included in this book were carefully reviewed and selected from 87 submissions. They were grouped into various subtopics including Knowledge Exploration in IoT, Medical Informatics, Machine Learning, Text Mining, Natural Language Processing, Cryptocurrency and Blockchain, Application of Artificial Intelligence, and other areas.