What do you see above? Some of you may say “circle”, some others may describe it as the “moon”. It’s all about perspective, don’t you agree? The same is true with the world of numbers. Engineers (like the author of this book) may look at numbers with a solution mindset, while those with a formal finance education or a traditional accounting background may view numbers with a compliance mindset. Whichever way you look at numbers, there’s no shying away from them, especially if you are a business owner or a key decision-maker. For most business decisions are related to numbers. Everyone needs to know how to interpret numbers! They help decision-makers make crucial decisions that impact the bottom line of their companies. Most often than not, these numbers are in the form of data. Data is like crude oil. There is a wealth of information waiting to be filtered out. The filtered information is ‘relevant information’ that makes all the difference between success and failure. When this information is communicated through stories, it sparks off a meaningful conversation. That is what this book attempts to do. After reading this book, you will not just be able to understand numbers but you will also be able to analyse them and interpret the stories they are trying to tell you. In short, you will be able to look at the circle and see the moon!
Explore how a data storage system works – from data ingestion to representation Key FeaturesUnderstand how artificial intelligence, machine learning, and deep learning are different from one anotherDiscover the data storage requirements of different AI apps using case studiesExplore popular data solutions such as Hadoop Distributed File System (HDFS) and Amazon Simple Storage Service (S3)Book Description Social networking sites see an average of 350 million uploads daily - a quantity impossible for humans to scan and analyze. Only AI can do this job at the required speed, and to leverage an AI application at its full potential, you need an efficient and scalable data storage pipeline. The Artificial Intelligence Infrastructure Workshop will teach you how to build and manage one. The Artificial Intelligence Infrastructure Workshop begins taking you through some real-world applications of AI. You'll explore the layers of a data lake and get to grips with security, scalability, and maintainability. With the help of hands-on exercises, you'll learn how to define the requirements for AI applications in your organization. This AI book will show you how to select a database for your system and run common queries on databases such as MySQL, MongoDB, and Cassandra. You'll also design your own AI trading system to get a feel of the pipeline-based architecture. As you learn to implement a deep Q-learning algorithm to play the CartPole game, you'll gain hands-on experience with PyTorch. Finally, you'll explore ways to run machine learning models in production as part of an AI application. By the end of the book, you'll have learned how to build and deploy your own AI software at scale, using various tools, API frameworks, and serialization methods. What you will learnGet to grips with the fundamentals of artificial intelligenceUnderstand the importance of data storage and architecture in AI applicationsBuild data storage and workflow management systems with open source toolsContainerize your AI applications with tools such as DockerDiscover commonly used data storage solutions and best practices for AI on Amazon Web Services (AWS)Use the AWS CLI and AWS SDK to perform common data tasksWho this book is for If you are looking to develop the data storage skills needed for machine learning and AI and want to learn AI best practices in data engineering, this workshop is for you. Experienced programmers can use this book to advance their career in AI. Familiarity with programming, along with knowledge of exploratory data analysis and reading and writing files using Python will help you to understand the key concepts covered.
Micro and nanoelectronic devices are the prime movers for electronics, which is essential for the current information age. This unique monograph identifies the key stages of advanced device design and integration in semiconductor manufacturing. It brings into one resource a comprehensive device design using simulation. The book presents state-of-the-art semiconductor device design using the latest TCAD tools.Professionals, researchers, academics, and graduate students in electrical & electronic engineering and microelectronics will benefit from this reference text.
Anticipating a limit to the continuous miniaturization (More-Moore), intense research efforts are being made to co-integrate various functionalities (More-than-Moore) in a single chip. Currently, strain engineering is the main technique used to enhance the performance of advanced semiconductor devices. Written from an engineering applications standpoint, this book encompasses broad areas of semiconductor devices involving the design, simulation, and analysis of Si, heterostructure silicongermanium (SiGe), and III-N compound semiconductor devices. The book provides the background and physical insight needed to understand the new and future developments in the technology CAD (TCAD) design at the nanoscale. Features Covers stressstrain engineering in semiconductor devices, such as FinFETs and III-V Nitride-based devices Includes comprehensive mobility model for strained substrates in global and local strain techniques and their implementation in device simulations Explains the development of strain/stress relationships and their effects on the band structures of strained substrates Uses design of experiments to find the optimum process conditions Illustrates the use of TCAD for modeling strain-engineered FinFETs for DC and AC performance predictions This book is for graduate students and researchers studying solid-state devices and materials, microelectronics, systems and controls, power electronics, nanomaterials, and electronic materials and devices.
This might be the first book that deals mostly with the 3D technology computer-aided design (TCAD) simulations of major state-of-the-art stress- and strain-engineered advanced semiconductor devices: MOSFETs, BJTs, HBTs, nonclassical MOS devices, finFETs, silicon-germanium hetero-FETs, solar cells, power devices, and memory devices. The book focuses on how to set up 3D TCAD simulation tools, from mask layout to process and device simulation, including design for manufacturing (DFM), and from device modeling to SPICE parameter extraction. The book also offers an innovative and new approach to teaching the fundamentals of semiconductor process and device design using advanced TCAD simulations of various semiconductor structures. The simulation examples chosen are from the most popular devices in use today and provide useful technology and device physics insights. To extend the role of TCAD in today’s advanced technology era, process compact modeling and DFM issues have been included for design–technology interface generation. Unique in approach, this book provides an integrated view of silicon technology and beyond—with emphasis on TCAD simulations. It is the first book to provide a web-based online laboratory for semiconductor device characterization and SPICE parameter extraction. It describes not only the manufacturing practice associated with the technologies used but also the underlying scientific basis for those technologies. Written from an engineering standpoint, this book provides the process design and simulation background needed to understand new and future technology development, process modeling, and design of nanoscale transistors. The book also advances the understanding and knowledge of modern IC design via TCAD, improves the quality in micro- and nanoelectronics R&D, and supports the training of semiconductor specialists. It is intended as a textbook or reference for graduate students in the field of semiconductor fabrication and as a reference for engineers involved in VLSI technology development who have to solve device and process problems. CAD specialists will also find this book useful since it discusses the organization of the simulation system, in addition to presenting many case studies where the user applies TCAD tools in different situations.
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.