Files From The Edge

For more than thirty years, paranormal expert and scientist Philip Imbrogno has investigated--or been witness to--amazing phenomena that push the limits of reality. In Files From the Edge, Imbrogno presents the most shocking cases of his career, complete with eyewitness reports and never-before-released photographs. This scientific investigation into the bizarre paranormal realm of high strangeness features never-before-published, meticulously documented research on the weirdest of the weird--abductions, encounters, and sightings of Bigfoot, sea serpents, and the blood-sucking Chupacabra. Imbrogno examines reports of poltergeists, alien creatures, humanoids, spook lights, ghost voices, earth spirits, and djinn. Using the latest quantum theory, he offers a scientific analysis of how these phantoms of time and space might materialize in our three-dimensional world. Many of the topics covered in this book have been virtually unpublished--until now

To stop her sadistic grandfather and his band of time travelers from rewriting history, Kate must race to retieve the CHRONOS keys before they fall into the Cyrists' hands, while dealing with her mounting feelings for fellow time-traveler Kiernan.

When a top female skater takes a terrible fall, Nancy suspects sabotage. In this slippery world of fierce competition, ambition, and industrial espionage, is Nancy headed for a dance with danger?

Explore IoT, data analytics, and machine learning to solve cyber-physical problems using the latest capabilities of managed services such as AWS IoT Greengrass and Amazon SageMaker Key FeaturesAccelerate your next edge-focused product development with the power of AWS IoT GreengrassDevelop proficiency in architecting resilient solutions for the edge with proven best practicesHarness the power of analytics and machine learning for solving cyber-physical problemsBook Description The Internet of Things (IoT) has transformed how people think about and interact with the world. The ubiquitous deployment of sensors around us makes it possible to study the world at any level of accuracy and enable data-driven decision-making anywhere. Data analytics and machine learning (ML) powered by elastic cloud computing have accelerated our ability to understand and analyze the huge amount of data generated by IoT. Now, edge computing has brought information technologies closer to the data source to lower latency and reduce costs. This book will teach you how to combine the technologies of edge computing, data analytics, and ML to deliver next-generation cyber-physical outcomes. You'll begin by discovering how to create software applications that run on edge devices with AWS IoT Greengrass. As you advance, you'll learn how to process and stream IoT data from the edge to the cloud and use it to train ML models using Amazon SageMaker. The book also shows you how to train these models and run them at the edge for optimized performance, cost savings, and data compliance. By the end of this IoT book, you'll be able to scope your own IoT workloads, bring the power of ML to the edge, and operate those workloads in a production setting. What you will learnBuild an end-to-end IoT solution from the edge to the cloudDesign and deploy multi-faceted intelligent solutions on the edgeProcess data at the edge through analytics and MLPackage and optimize models for the edge using Amazon SageMakerImplement MLOps and DevOps for operating an edge-based solutionOnboard and manage fleets of edge devices at scaleReview edge-based workloads against industry best practicesWho this book is for This book is for IoT architects and software engineers responsible for delivering analytical and machine learning–backed software solutions to the edge. AWS customers who want to learn and build IoT solutions will find this book useful. Intermediate-level experience with running Python software on Linux is required to make the most of this book.