Maddie and Ivan have been friends forever. They go to school together, surf, party, and hang out all the time. Ivan eats at Maddie's house almost every day. But all is not well in Ivan's world, and as control of his life slips farther away from him, Maddie agonises over her role in his life. Ivan fears the fallout if the people in his community discover what he's been hiding, but Maddie thinks telling his secret will help him. As Maddie struggles to figure out her own post-high-school path, she worries about how to deal with the things she knows about Ivan's life. Is she a keeper of his secrets? Should she help him hide what's going on in his family? Or should she tell someone and get help? What does betrayal look like when your best friend is in trouble?

Five strangers gather at Eric's inn on a remote Hebridean island after he advertises in the London weeklies for "Christmas at the edge of the world." Harry, a military widower, is fascinated by General Gordon and the last days of Khartoum. Jessica is a voice-over artist and actress. Jon is a vain actor who is dangerously obsessed with Jessica. Anita, a salesperson in the stationary department of a store and, Ronald, a psychoanalyst who is pining for the cooking and domestic skills of his recently departed wife. Each has their own reasons for escaping the usual festivities, but the refuge of the island is complicated as Eric's wife Mabel flounces out at the last minute and the locals and visitors mingle and clash. A beautifully timed comic novel with a hint of the supernatural.

Haiti. A poor country rich in courage, strength and love. As these four women are about to discover. Charlie, the rootless daughter of American missionaries, now working as a hairdresser in Northern California. But the repercussions of a traumatic childhood far from home have left her struggling for her way in life. Bea, Charlie's eccentric grandmother, who is convinced a reunion with her estranged mother will help Charlie heal. Lizbeth, a Texas widow who has never strayed too far from home. She is on a daunting journey into the unknown, searching for the grandchild she never knew existed. And Senzey, a young Haitian mother dealing with a lifetime of love and loss, who shows them the true meaning of bravery. Together they venture through the teeming, colorful streets of Port-au-Prince, into the worlds of do-gooders doing more harm than good, Vodou practitioners, artists, activists, and everyday Haitian men and women determined to survive against all odds. For Charlie, Bea, Lizbeth and Senzey, life will never be the same again . . .

Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target--from ultra-low power microcontrollers to embedded Linux devices. This practical guide gives engineering professionals, including product managers and technology leaders, an end-to-end framework for solving real-world industrial, commercial, and scientific problems with edge AI. You'll explore every stage of the process, from data collection to model optimization to tuning and testing, as you learn how to design and support edge AI and embedded ML products. Edge AI is destined to become a standard tool for systems engineers. This high-level road map helps you get started. Develop your expertise in AI and ML for edge devices Understand which projects are best solved with edge AI Explore key design patterns for edge AI apps Learn an iterative workflow for developing AI systems Build a team with the skills to solve real-world problems Follow a responsible AI process to create effective products

The story of the aftermath of World War I, a transformative time when a new world seemed possible—told from the vantage of people, famous and ordinary, who lived through the turmoil November 1918. The Great War has left Europe in ruins, but with the end of hostilities, a radical new start seems not only possible, but essential, even unavoidable. Unorthodox ideas light up the age: new politics, new societies, new art and culture, new thinking. The struggle to determine the future has begun. Sculptor Käthe Kollwitz, whose son died in the war, is translating sorrow and loss into art. Captain Harry Truman is running a men’s haberdashery in Kansas City, hardly expecting he will soon go bankrupt—and then become president of the United States. Moina Michael is about to invent the “remembrance poppy,” a symbol of sacrifice that will stand for generations to come. Meanwhile Virginia Woolf is questioning whether that sacrifice was worth it, and George Grosz is so revolted by the violence on the streets of Berlin that he decides everything is meaningless. For rulers and revolutionaries, a world of power and privilege is dying—while for others, a dream of overthrowing democracy is being born. With novelistic virtuosity, Daniel Schönpflug describes this watershed time as it was experienced on the ground—open-ended, unfathomable, its outcome unclear. Combining a multitude of acutely observed details, Schönpflug shows us a world suspended between enthusiasm and disappointment, in which the window of opportunity was suddenly open, only to quickly close shut again.

Design, secure, and protect the privacy of edge analytics applications using platforms and tools such as Microsoft's Azure IoT Edge, MicroPython, and Open Source Computer Vision (OpenCV) Key FeaturesBecome well-versed with best practices for implementing automated analytical computationsDiscover real-world examples to extend cloud intelligenceDevelop your skills by understanding edge analytics and applying it to research activitiesBook Description Edge analytics has gained attention as the IoT model for connected devices rises in popularity. This guide will give you insights into edge analytics as a data analysis model, and help you understand why it’s gaining momentum. You'll begin with the key concepts and components used in an edge analytics app. Moving ahead, you'll delve into communication protocols to understand how sensors send their data to computers or microcontrollers. Next, the book will demonstrate how to design modern edge analytics apps that take advantage of the processing power of modern single-board computers and microcontrollers. Later, you'll explore Microsoft Azure IoT Edge, MicroPython, and the OpenCV visual recognition library. As you progress, you'll cover techniques for processing AI functionalities from the server side to the sensory side of IoT. You'll even get hands-on with designing a smart doorbell system using the technologies you’ve learned. To remove vulnerabilities in the overall edge analytics architecture, you'll discover ways to overcome security and privacy challenges. Finally, you'll use tools to audit and perform real-time monitoring of incoming data and generate alerts for the infrastructure. By the end of this book, you'll have learned how to use edge analytics programming techniques and be able to implement automated analytical computations. What you will learnDiscover the key concepts and architectures used with edge analyticsUnderstand how to use long-distance communication protocols for edge analyticsDeploy Microsoft Azure IoT Edge to a Raspberry PiCreate Node-RED dashboards with MQTT and Text to Speech (TTS)Use MicroPython for developing edge analytics appsExplore various machine learning techniques and discover how machine learning is related to edge analyticsUse camera and vision recognition algorithms on the sensory side to design an edge analytics appMonitor and audit edge analytics appsWho this book is for If you are a data analyst, data architect, or data scientist who is interested in learning and practicing advanced automated analytical computations, then this book is for you. You will also find this book useful if you’re looking to learn edge analytics from scratch. Basic knowledge of data analytics concepts is assumed to get the most out of this book.

On the edge of medieval maps, monsters roam. In the west, pilgrims take well-traveled roads to Rome and Compostela. In the east, Old Testament history unfolds. And at the center, in the city of Jerusalem, Jesus saves the world. In A World Transformed, Lisa Deam takes us on an incredible journey through medieval maps. Despite their curious appearance, these maps, as Deam shows, are surprisingly modern. In their monstrous, marvelous sights lie treasure troves of wisdom to guide twenty-first-century Christians on their walk with God. Each chapter in this geographical journey links medieval maps to biblical concepts and spiritual practices that transform our faith and our world.

Comprehensive overview of the fledgling domain of federated learning (FL), explaining emerging FL methods, architectural approaches, enabling frameworks, and applications Model Optimization Methods for Efficient and Edge AI explores AI model engineering, evaluation, refinement, optimization, and deployment across multiple cloud environments (public, private, edge, and hybrid). It presents key applications of the AI paradigm, including computer vision (CV) and Natural Language Processing (NLP), explaining the nitty-gritty of federated learning (FL) and how the FL method is helping to fulfill AI model optimization needs. The book also describes tools that vendors have created, including FL frameworks and platforms such as PySyft, Tensor Flow Federated (TFF), FATE (Federated AI Technology Enabler), Tensor/IO, and more. The first part of the text covers popular AI and ML methods, platforms, and applications, describing leading AI frameworks and libraries in order to clearly articulate how these tools can help with visualizing and implementing highly flexible AI models quickly. The second part focuses on federated learning, discussing its basic concepts, applications, platforms, and its potential in edge systems (such as IoT). Other topics covered include: Building AI models that are destined to solve several problems, with a focus on widely articulated classification, regression, association, clustering, and other prediction problems Generating actionable insights through a variety of AI algorithms, platforms, parallel processing, and other enablers Compressing AI models so that computational, memory, storage, and network requirements can be substantially reduced Addressing crucial issues such as data confidentiality, data access rights, data protection, and access to heterogeneous data Overcoming cyberattacks on mission-critical software systems by leveraging federated learning

Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing paradigms. Challenges covered include remote storage and computing, bandwidth overload due to transportation of data from End nodes to Cloud leading in latency issues, security issues in transporting sensitive medical and financial information across larger gaps in points of data generation and computing, as well as design features of Edge nodes to store and run AI/ML algorithms for effective rendering. - Provides a reference handbook on the evolution of distributed systems, including Cloud, Fog and Edge Computing - Integrates the various Artificial Intelligence and Machine Learning techniques for effective predictions at Edge rather than Cloud or remote Data Centers - Provides insight into the features and constraints in Edge Computing and storage, including hardware constraints and the technological/architectural developments that shall overcome those constraints