Informatik

Federated Learning for Medical Imaging: Principles, Algorithms and Applications gives a deep understanding of the technology of federated learning (FL), the architecture of a federated system, and the algorithms for FL. It shows how FL allows multiple medical institutes to collaboratively train and use a precise machine learning (ML) model without sharing private medical data via practical implantation guidance. The book includes real-world case studies and applications of FL, demonstrating how this technology can be used to solve complex problems in medical imaging. In addition, it provides an understanding of the challenges and limitations of FL for medical imaging, including issues related to data and device heterogeneity, privacy concerns, synchronization and communication, etc. This is a complete resource for computer scientists and engineers as well as clinicians and medical care policymakers wanting to learn about the application of federated learning to medical imaging.

Delve into the second edition to master serverless proficiency and explore new chapters on security techniques, multi-regional deployment, and optimizing observability.Key FeaturesGain insights from a seasoned CTO on best practices for designing enterprise-grade software systemsDeepen your understanding of system reliability, maintainability, observability, and scalability with real-world examplesElevate your skills with software design patterns and architectural concepts, including securing in-depth and running in multiple regions.Book DescriptionOrganizations undergoing digital transformation rely on IT professionals to design systems to keep up with the rate of change while maintaining stability. With this edition, enriched with more real-world examples, you'll be perfectly equipped to architect the future for unparalleled innovation.This book guides through the architectural patterns that power enterprise-grade software systems while exploring key architectural elements (such as events-driven microservices, and micro frontends) and learning how to implement anti-fragile systems.First, you'll divide up a system and define boundaries so that your teams can work autonomously and accelerate innovation. You'll cover the low-level event and data patterns that support the entire architecture while getting up and running with the different autonomous service design patterns.This edition is tailored with several new topics on security, observability, and multi-regional deployment. It focuses on best practices for security, reliability, testability, observability, and performance. You'll be exploring the methodologies of continuous experimentation, deployment, and delivery before delving into some final thoughts on how to start making progress.By the end of this book, you'll be able to architect your own event-driven, serverless systems that are ready to adapt and change.What you will learnExplore architectural patterns to create anti-fragile systems.Focus on DevSecOps practices that empower self-sufficient, full-stack teamsApply microservices principles to the frontendDiscover how SOLID principles apply to software and database architectureGain practical skills in deploying, securing, and optimizing serverless architecturesDeploy a multi-regional system and explore the strangler pattern for migrating legacy systemsMaster techniques for collecting and utilizing metrics, including RUM, Synthetics, and Anomaly detection.Who this book is forThis book is for software architects who want to learn more about different software design patterns and best practices. This isn't a beginner's manual - you'll need an intermediate level of programming proficiency and software design experience to get started.You'll get the most out of this software design book if you already know the basics of the cloud, but it isn't a prerequisite.Table of ContentsArchitecting for InnovationsDefining Boundaries and Letting GoTaming the Presentation TierTrusting Facts and Eventual ConsistencyTurning the Cloud into the DatabaseA Best Friend for the FrontendBridging Intersystem GapsReacting to Events with More EventsRunning in Multiple RegionsSecuring Autonomous Subsystems in DepthChoreographing Deployment and DeliveryOptimizing ObservabilityDon't Delay, Start Experimenting

Unleash DevOps excellence with Python and its ecosystem of tools for seamless orchestration on both local and cloud platforms, such as GCP, AWS, and AzureKey FeaturesIntegrate Python into DevOps for streamlined workflows, task automation, and improved collaborationCombine the principles of Python and DevOps into a unified approach for problem solvingLearn about Python's role in Infrastructure as Code (IaC), MLOps, networking, and other domainsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionPython stands out as a powerhouse in DevOps, boasting unparalleled libraries and support, which makes it the preferred programming language for problem solvers worldwide. This book will help you understand the true flexibility of Python, demonstrating how it can be integrated into incredibly useful DevOps workflows and workloads, through practical examples.You'll start by understanding the symbiotic relation between Python and DevOps philosophies and then explore the applications of Python for provisioning and manipulating VMs and other cloud resources to facilitate DevOps activities. With illustrated examples, you'll become familiar with automating DevOps tasks and learn where and how Python can be used to enhance CI/CD pipelines. Further, the book highlights Python's role in the Infrastructure as Code (IaC) process development, including its connections with tools like Ansible, SaltStack, and Terraform. The concluding chapters cover advanced concepts such as MLOps, DataOps, and Python's integration with generative AI, offering a glimpse into the areas of monitoring, logging, Kubernetes, and more.By the end of this book, you'll know how to leverage Python in your DevOps-based workloads to make your life easier and save time.What you will learnImplement DevOps practices and principles using PythonEnhance your DevOps workloads with PythonCreate Python-based DevOps solutions to improve your workload efficiencyUnderstand DevOps objectives and the mindset needed to achieve themUse Python to automate DevOps tasks and increase productivityExplore the concepts of DevSecOps, MLOps, DataOps, and moreUse Python for containerized workloads in Docker and KubernetesWho this book is forThis book is for IT professionals venturing into DevOps, particularly programmers seeking to apply their existing programming knowledge to excel in this field. For DevOps professionals without a coding background, this book serves as a resource to enhance their understanding of development practices and communicate more effectively with developers. Solutions architects, programmers, and anyone regularly working with DevOps solutions and Python will also benefit from this hands-on guide.Table of ContentsIntroducing DevOps PrinciplesTalking about PythonThe Simplest Ways to Start Using DevOps in Python ImmediatelyProvisioning ResourcesManipulating ResourcesSecurity and DevSecOps with PythonAutomating TasksUnderstanding Event-Driven ArchitectureUsing Python for CI/CD PipelinesCommon DevOps Use Cases in Some of the Biggest Companies in the WorldMLOps and DataOpsHow Python Integrates with IaC ConceptsThe Tools to Take Your DevOps to the Next Level

"If the AI transition goes well, human labor becomes obsolete. Furthermore, at technological maturity, human nature becomes entirely malleable. We will thus enter a condition of 'post-instrumentality', in which our efforts are not needed for any practical purpose. In such a solved world, what is the point of human existence? What gives meaning to life? What do we do all day? Deep Utopia shines a new light on these old questions, giving us glimpses of a different kind of existence, which might be ours in the future." -- Dust jacket.

In this comprehensive survey of unconditional pseudorandom generators (PRGs), the authors present the reader with an intuitive introduction to some of the most important frameworks and techniques for constructing unconditional PRGs for restricted models of computation. The authors discuss four major paradigms for designing PRGs: several PRGs based on k-wise uniform generators, small-bias generators, and simple combinations thereof, several PRGs based on "recycling" random bits to take advantage of communication Bottlenecks, connections between PRGs and computational hardness, and PRG frameworks based on random restrictions. The authors explain how to use these paradigms to construct PRGs that work unconditionally, with no unproven mathematical assumptions. The PRG constructions use ingredients such as finite field arithmetic, expander graphs, and randomness extractors. The analyses use techniques such as Fourier analysis, sandwiching approximators, and simplification-under-restrictions lemmas. Paradigms for Unconditional Pseudorandom Generators offers the reader a grounding in an important topic widely used in theoretical computer science and cryptography.

"An innovative introduction to the foundations of signals, systems, and transforms, emphasising discretetime concepts, and smoothing the transition towards study of Digital Signal Processing (DSP). With realworld examples throughout, and over 325 end-of-chapter problems. Ideal for sophomore and junior students in electrical engineering"--

El futuro es menos temible cuando sabes a lo que te enfrentas. Moldea el futuro de la inteligencia artificial participando activamente en esta tecnología, incluso si nunca te has considerado un experto en ella.Cuando se habla sobre el tema de la inteligencia artificial, se reciben opiniones de los dos extremos del espectro.Por un lado, encontrarás firmes partidarios de la IA, aquellos emocionados por los atajos que ofrece ChatGPT, o ansiosos por aprovechar las capacidades revolucionarias de la inteligencia artificial en áreas como la salud, las finanzas o la robótica.Por el otro lado están los escépticos, aquellos que o bien ignoran el rápido avance de la inteligencia artificial o creen que nunca alcanzará el nivel de sofisticación necesario para reemplazar sus trabajos.Sin embargo, la inteligencia artificial ha llegado para quedarse y si quieres evitar ser arrollado por su progreso, entonces más te vale ser uno de sus impulsores.Esto no significa que tengas que ser un desarrollador de IA o incluso trabajar en tecnología.Simplemente implica estar consciente de consideraciones éticas específicas, los beneficios y desventajas principales del uso de la inteligencia artificial, y los sectores cuyos trabajos tienen más probabilidades de ser reemplazados por ella.Además, significa utilizar la inteligencia artificial en tu beneficio aprovechando las herramientas de IA más poderosas disponibles, tanto en tu profesión como en tu vida personal.Y esa es exactamente la razón por la que se escribió este libro. Considéralo una guía completa para todo lo que necesitas para involucrarte más en la inteligencia artificial.En lugar de ser un observador pasivo de su auge, puedes formar parte de un movimiento que decide hacia dónde va esta tecnología y qué papel deseas jugar.

Over the last decade, the long-running endeavour to automate high-level processes in machine learning (ML) has risen to mainstream prominence. Beyond this, an even loftier goal is the pursuit of autonomy, which describes the capability of the system to independently adjust an ML solution over a lifetime of changing contexts. This monograph provides an expansive perspective on what constitutes an automated/autonomous ML system. In doing so, the authors survey developments in hyperparameter optimisation, multicomponent models, neural architecture search, automated feature engineering, meta-learning, multi-level ensembling, dynamic adaptation, multi-objective evaluation, resource constraints, flexible user involvement, and the principles of generalisation. Furthermore, they develop a conceptual framework throughout to illustrate one possible way of fusing high-level mechanisms into an autonomous ML system. This monograph lays the groundwork for students and researchers to understand the factors limiting architectural integration, without which the field of automated ML risks stifling both its technical advantages and general uptake.

In "AI Money Machine," embark on an enlightening journey through the transformative landscape of Artificial Intelligence (AI) and discover how it can revolutionize business and pave the way for unprecedented financial success! This comprehensive guide is a must-read for entrepreneurs, business leaders, and anyone intrigued by the potential of AI in generating wealth. Chapter 1: Introduction to Making Money with Artificial Intelligence in Business Get acquainted with the fundamentals of AI and its role in reshaping the business landscape. Explore the potential avenues for leveraging AI to drive revenue and gain a strategic edge.Chapter 2: Making Money with AI in Healthcare Delve into the healthcare sector and uncover how AI is revolutionizing patient care, medical research, and the overall business dynamics of the health industry. Chapter 3: Making Money with AI in Finance Navigate the intricate world of finance and discover how AI is transforming investment strategies, risk management, and financial decision-making. Chapter 4: Making Money with AI in Marketing Uncover the power of AI in revolutionizing marketing campaigns, customer targeting, and overall brand success in the competitive marketplace. Chapter 5: Making Money with AI in Customer Service Explore how AI is reshaping customer service by enhancing efficiency, personalization, and overall customer satisfaction. Chapter 6: Making Money with AI in E-Commerce Witness the impact of AI on e-commerce, from personalized shopping experiences to efficient supply chain management, and learn how it translates into increased profits. Chapter 7: Making Money with AI in Education Understand the role of AI in education, from personalized learning experiences to administrative efficiency, and explore the financial opportunities it brings to the education sector. Chapter 8: Making Money with AI in Cybersecurity Examine the crucial role of AI in fortifying cybersecurity measures, protecting businesses from evolving threats, and ensuring the integrity of financial transactions. Chapter 9: Making Money with AI in Entertainment and Media Dive into the world of entertainment and media to discover how AI is shaping content creation, distribution, and audience engagement, creating lucrative opportunities. Chapter 10: Conclusion and Future Trends in AI Money Making Wrap up the journey by exploring the current state of AI in business and anticipating future trends that will continue to shape the landscape of money-making opportunities. AI Money Machine is your go-to guide for understanding the intersection of AI and financial success, offering actionable insights, real-world examples, and a roadmap for unlocking the profit potential that Artificial Intelligence holds in the business realm. Prepare to embark on a transformative journey into the future of money-making with AI.

Attention:Step into the enthralling universe of "Rise of the Machines"; a comprehensive studyof the past, present, and future of Artificial Intelligence (AI). As we witnesstechnology advancing at a breakneck speed, this book offers unique insights into thecompelling saga of Al. If the extraordinary journey of machines transforming intointelligent beings fascinates you, consider this your invitation to experience theremarkable progression of our digital counterparts.Interest:Unlock the secrets behind the rise of Artificial Intelligence as "Rise of the Machines"takes you on a captivating journey. From the inception of Al in the minds of visionarypioneers to the present-day applications that permeate our daily lives, this book paintsa comprehensive picture of the technological revolution reshaping our world.Discover the thrilling stories behind breakthroughs, challenges, and ethical dilemmasaccompanying the development of intelligent machines. Your interest will be piquedas you explore Al's transformative potential and societal implications.Desire:Imagine a world where machines and humans coexist harmoniously, unlockinglimitless potential. "Rise of the Machines" ignites a desire for a profoundcomprehension of the symbiotic relationship between humans and Al. This book notonly enlightens you on the complexities of machine learning but also stirs yourcuriosity, urging you to envisage a future where Al enriches our lives in ways neverseen before. As you delve into the wisdom within these pages, you'll feel a growingurge for a future steered by responsible Al development, a future that you can helpshape.Action:Take charge of your understanding of the technological frontier by delving into "Riseof the Machines". Equip yourself with the knowledge needed to navigate the Allandscape with confidence. This book provides actionable insights, inspiring you toactively engage in the discourse surrounding Al's impact on society. Whether you're atech enthusiast or a concerned citizen, the time to act is now. Immerse yourself inartificial intelligence's past, present, and future, and embrace the transformative powerof the "Rise of the Machines" today.

Remaining human in the age of AI is a guide to understanding ourselves and the traits that make us human as well as understanding AI and how it is impacting our lives today and into the future. In a future so inexorably soaked in technology, characteristics such as creativity, empathy, and emotional intelligence will become more important than ever before.As the world continues to digitise and deploy artificial intelligence technology , it will change humans' position in the world. What does our future look like? How is the environment being impacted and what can we do to protect it? What work will we be doing? How will we maintain our culture and society? How will we - remain human in the age of AI?

This book presents a collection of scientific articles on recent research on innovations in biomedical engineering. Articles are divided into two chapters covering broad areas of experimental research and biomedical engineering, engineering of biomaterials as well as informatics and modelling in biomedical engineering. Given its scope, it offers a valuable resource for practitioners, researchers, and students alike. The topics include not only theoretical considerations but also practical applications of research conducted in cooperation between engineers, doctors, and physiotherapists.

A broad introduction to cryptography—what it is, how it really works, what its future holds, and why every informed citizen should understand its basics.We all keep secrets—from our gym locker codes to our email passwords to our online interactions. And we choose to share those secrets only with those whom we trust. So, too, do organizations, businesses, governments, and armies. In this fascinating book Cryptography, Panos Louridas provides a broad and accessible introduction to cryptography, the art and science of keeping and revealing secrets. Louridas explains just how cryptography works to keep our communications confidential, tracing it back all the way to its ancient roots. Then he follows its long and winding path to where we are today and reads the signs that point to where it may go tomorrow.A few years back, interest in cryptography was restricted to specialists. Today, as we all live our lives attuned to our digital footprint and the privacy issues it entails, it becomes more and more essential to have a basic understanding of cryptography and its applications to everyday life. Starting with classical cryptography, Cryptography takes the reader all the way up to the twenty-first century cryptographic applications that underpin our lives in the digital realm. Along the way, Louridas also explains concepts such as symmetric cryptography, asymmetric cryptography, cryptographic protocols and applications, and finally, quantum and post-Quantum cryptography as well as the links between cryptography and computer security.

An insightful exploration of Chat GPT and other advanced AI systems—how we got here, where we’re headed, and what it all means for how we interact with the world.In ChatGPT and the Future of AI, the sequel to The Deep Learning Revolution, Terrence Sejnowski offers a nuanced exploration of large language models (LLMs) like ChatGPT and what their future holds. How should we go about understanding LLMs? Do these language models truly understand what they are saying? Or is it possible that what appears to be intelligence in LLMs may be a mirror that merely reflects the intelligence of the interviewer? In this book, Sejnowski, a pioneer in computational approaches to understanding brain function, answers all our urgent questions about this astonishing new technology.Sejnowski begins by describing the debates surrounding LLMs’ comprehension of language and exploring the notions of “thinking” and “intelligence.” He then takes a deep dive into the historical evolution of language models, focusing on the role of transformers, the correlation between computing power and model size, and the intricate mathematics shaping LLMs. Sejnowski also provides insight into the historical roots of LLMs and discusses the potential future of AI, focusing on next-generation LLMs inspired by nature and the importance of developing energy-efficient technologies.Grounded in Sejnowski’s dual expertise in AI and neuroscience, ChatGPT and the Future of AI is the definitive guide to understanding the intersection of AI and human intelligence.

"Conectando Saberes: Explorando o Mundo Educativo através de Jogos Digitais" é uma obra que mergulha no cenário educacional contemporâneo, explorando o potencial transformador dos jogos digitais no processo de aprendizagem. O livro destaca a interseção entre tecnologia e educação, apresentando análises aprofundadas sobre como os jogos digitais podem ser integrados de maneira eficaz no ambiente educativo. Com base em pesquisas sólidas, a obra oferece insights valiosos sobre as oportunidades e desafios associados ao uso de jogos digitais como ferramentas pedagógicas, fornecendo uma visão abrangente sobre a potencial revolução que essas inovações podem trazer ao campo educacional.

Uncover the secrets of Big Data with our comprehensive book bundle: "Big Data: Statistics, Data Mining, Analytics, and Pattern Learning." Dive into the world of data analytics and processing with Book 1, where you'll gain a solid understanding of the fundamentals necessary to navigate the vast landscape of big data.In Book 2, explore data mining techniques that allow you to extract valuable insights and patterns from large datasets. From marketing to finance and beyond, discover how to uncover hidden trends that drive informed decision-making.Ready to take your skills to the next level? Book 3 delves into advanced data science, where you'll learn to harness the power of machine learning for big data analysis. From regression analysis to neural networks, master the tools and techniques that drive predictive modeling and pattern recognition.Finally, in Book 4, learn how to design robust big data architectures that can scale to meet the needs of modern enterprises. Explore architectural patterns, scalability techniques, and fault tolerance mechanisms that ensure your systems are resilient and reliable.Whether you're a beginner looking to build a solid foundation or an experienced professional seeking to deepen your expertise, this book bundle has something for everyone. Don't miss out on this opportunity to unlock the potential of Big Data and drive innovation in your organization. Order now and embark on your journey to becoming a Big Data expert!

Dyk ned i fremtidens teknologiske samtalekunst med Prompt engineering – en grundbog, den første danske lærebog om at mestre dialogen med AI. Bogen er din ultimative guide til at navigere i og udnytte potentialet i de tre førende AI-sprogmodeller: ChatGPT, Copilot og Gemini.Gennem en dybdegående introduktion til 24 effektive promptingteknikker gør bogen dig i stand til at udforme målrettede prompts, som kan levere præcise, kreative og umiddelbart anvendelige resultater og gøre dig mere effektiv. Til hver af de 24 teknikker finder du masser af eksempler og praktiske øvelser, så du gradvist bliver bedre til at interagere med AI.Uanset om du allerede er dygtig og søger at finpudse dine evner, eller du er nybegynder og klar til at udforske generativ AI, tilbyder denne bog værdifuld indsigt og praktiske strategier for at opbygge og forfine dine prompts. Den er skræddersyet til enhver, der ønsker at mestre kunsten at kommunikere med AI, uanset om du bruger det i dine studier, din forskning, dit arbejde eller dine personlige, kreative projekter.Med sin pædagogiske struktur, klare progression og tilgængelige sprog er bogen også oplagt til brug i undervisningen på ungdomsuddannelser og videregående uddannelser.

La poésie touche l'âme et l'esprit de manière unique et profonde. Ce recueil se distingue par sa rareté et son originalité, invitant à un voyage à travers les émotions que nous éprouvons tout au long de notre vie. Les thèmes abordés sont profondément personnels. Mon aspiration est de résonner au coeur même de votre être. Ces poèmes sont une vibrante ode à l'existence.Une autre facette remarquable, et non des moindres, est que toutes les poésies ainsi que toutes les illustrations ont été générées par une intelligence artificielle. Vous découvrirez comment l'IA manipule les mots et les sens avec art. Sous ma direction, elle a réussi à transcrire avec une plume magnifique les émotions que je souhaite partager avec vous.Quel enchantement de voir des machines capter et illustrer les émotions humaines avec une telle finesse. Néanmoins, il est important de se rappeler que l'intelligence artificielle ne pourra jamais posséder l'Amour que nous ressentons, l'Amour que nous sommes.

The book presents original contributions to the theories and practices of emerging internet, data, and web technologies and their applicability in businesses, engineering, and academia. As a key feature, it addresses advances in the life-cycle exploitation of data generated from the digital ecosystem data technologies that create value for the knowledge and businesses toward a collective intelligence approach.Internet has become the most proliferative platform for emerging large-scale computing paradigms. Among these, data and web technologies are two most prominent paradigms, in a variety of forms such as data centers, cloud computing, mobile cloud, and mobile web services. These technologies altogether create a digital ecosystem whose corner stone is the data cycle, from capturing to processing, analysis, and visualization. The investigation of various research and development issues in this digital ecosystem is boosted by the ever-increasing needs of real-life applications, which are based on storing and processing large amounts of data. Researchers, software developers, practitioners, and students interested in the field of data and web technologies will find this book useful and a reference for their activity.

This book offers a timely snapshot of research, technologies and best practices in the broad area of bioengineering and clinical engineering. Contributions report on advances in biomechanics, biomaterials, and tissue engineering, biosensors and instrumentation, biomedical signal processing, and rehabilitation engineering. Further, it covers topics relating to quality engineering and management of health services, and of engineering education. The book gathers selected, peer-reviewed contributions to the XXIII Argentinian Congress of Bioengineering and the XII Clinical Engineering Conference, both known under the acronym ¿SABI 2022¿, held on September 13¿16, 2022, in San Juan, Argentina, and organized by the Sociedad Argentina de Bioingeniería.

The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, including artificial intelligence, linguistics, neuro- and social sciences, psychology and philosophy of mind, among others. The chapters are based on contributions presented at the 2023 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence (the 14th Annual Meeting of the BICA Society, BICA*AI 2023), organized in collaboration with the University of Ningbo and held on October 13-15, 2023, in Ningbo, China. The book discusses emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. It provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.

This book constitutes revised selected papers from the 15th International Conference on Computer Supported Education, CSEDU 2023, which took place in Prague, Czech Republic, during April 21¿23, 2023.CSEDU 2023 accepted 34 full and 54 papers out of 162 papers submissions. Out of these, 8 contributions have been selected for inclusion in this book. The papers included in this book contribute to the understanding of relevant trends in the current research on Computer Supported Education, with a particular focus on: eLearning Platforms, Portals, Feedback and Learning Support, Game-Based and Simulation-Based Learning, Active Learning, Tools to Assess Learning, Learning with AI Systems, Higher Order Thinking Skills, Flipped Classroom, Faculty Development and Constructivism and Social Constructivism.