Название: Metaheuristics Algorithm and Optimization of Engineering and Complex Systems
Автор: Thanigaivelan R., Suchithra M., Kaliappan S., Mothilal T.
Издательство: IGI Global
Год: 2024
Страниц: 416
Язык: английский
Формат: pdf (true), epub
Размер: 23.6 MB

In the field of engineering, optimization and decision-making have become pivotal concerns. The ever-increasing demand for data processing has given rise to issues such as extended processing times and escalated memory utilization, posing formidable obstacles across various engineering domains. Problems persist, requiring not only solutions but advancements beyond existing best practices. Creating and implementing novel heuristic algorithms is a time-intensive process, yet the imperative to do so remains strong, driven by the potential to significantly lower computational costs even with marginal improvements. This book, titled Metaheuristics Algorithm and Optimization of Engineering and Complex Systems, is a beacon of innovation in this context. It examines the critical need for inventive algorithmic solutions, exploring hyperheuristic approaches that offer solutions such as automating search spaces through integrated heuristics. Designed to cater to a broad audience, this book is a valuable resource for both novice and experienced dynamic optimization practitioners. By addressing the spectrum of theory and practice, as well as discrete versus continuous dynamic optimization, it becomes an indispensable reference in a captivating and emerging field. With a deliberate focus on inclusivity, the book is poised to benefit anyone with an interest in staying abreast of the latest developments in dynamic optimization.

Название: Essentials of Python A Lunchtime Learning Guide: Master the Programming Skills Needed in the Age of Generative AI, like ChatGPT, Efficiently and Effectively
Автор: Tak Takamiya
Издательство: Independently published
Год: 2024
Страниц: 94
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

"Essentials of Python A Lunchtime Learning Guide" is a book designed for individuals with programming experience, aiming to help them learn the fundamentals of Python efficiently in a short period. With the emergence of Generative AI, such as ChatGPT, the role of programming is undergoing a transformation. Previously, the ability to understand a language inside out and write code from scratch, known as "output power," was considered the benchmark for programming proficiency. However, generative AI can now handle the "0 to 1" part of the process. Instead, humans need to focus more on "input power," the ability to understand written source code, and "analytical power," the ability to validate the code's validity. This book is tailored to this new programming style, aiming to help readers acquire the minimum knowledge required to get started with Python in the shortest possible time. The primary focus is on skimming through the source code, understanding the overall structure and connections, and grasping the program's behavior. This book aims to acquire the foundational knowledge for understanding the language, such as Python's basic syntax, data types, functions, classes, arrays, etc. The contents are written assuming a Python 3.10 environment. As of May 2024, the latest version is 3.12, but using too new a version may result in insufficient learning by generative AI or scarce information on the web, leading to reduced development efficiency, so a stable version with ample track record is used. Each chapter provides explanations using sample code to deepen practical understanding. Explanations of the execution results are also included to understand the behavior of the code.

Название: Quantum Computing and Cryptography in Future Computers
Автор: Shyam R. Sihare
Издательство: IGI Global
Год: 2024
Страниц: 380
Язык: английский
Формат: pdf (true), epub
Размер: 28.6 MB

In recent decades, computing has undergone rapid evolutions and groundbreaking developments that affect almost every sector across the world. The developments of quantum computing and quantum cryptography are similarly revolutionizing computing and security with lasting impacts and implications. Quantum computing and quantum cryptography will pave the path for new opportunities for the future of computing. Quantum Computing and Cryptography in Future Computers discusses quantum computing and quantum cryptography principles and their impact on future computers. It includes coverage of the role of quantum computing to overcome the issues of current security methods. It also discusses the application of quantum computing in various areas like security, blockchain, and more. Covering topics such as attack detection, Machine Learning, and quantum key distribution, this premier reference source is an ideal resource for developers, engineers, practitioners, security experts, students and educators of higher education, librarians, researchers, and academicians.

Название: Основы анимации в Spine 2D для начинающих
Автор: Анна Лепешкина
Издательство: Э
Год: 2024
Формат: PDF
Страниц: 278
Размер: 6 Mb
Язык: Русский

Программа Spine 2D представляет собой идеальный инструмент для создания анимации персонажей в 2D. Она широко используется в игровой индустрии, а также в различных проектах для мобильных приложений, веб-сайтов и рекламных материалов, где требуется создание анимации. Книга поможет читателям овладеть навыками работы в программе Spine 2D, а также научиться использовать различные инструменты для редактирования и настройки анимации, управлять движениями и эмоциями персонажей, создавать анимационные ролики с помощью Spine 2D и Unity, экспортировать готовую анимацию в различные форматы и многому другому.

Название: Грокаем алгоритмы, 2-е издание
Автор: Адитья Бхаргава
Издательство: Питер
Год: 2024
Страниц: 352
Язык: русский
Формат: pdf
Размер: 12.8 MB

Алгоритмы — это пошаговые инструкции решения задач, большинство из которых уже были кем-то решены, протестированы и доказали свою эффективность. Второе издание «Грокаем алгоритмы» упрощает изучение, понимание и использование алгоритмов. В этой книге вы найдете простые и внятные объяснения, более 400 забавных иллюстраций и десятки примеров. Ее чтение — лучший способ раскрыть всю мощь алгоритмов и подготовиться к интервью по программированию. Глубоких знаний математики не требуется! Вы узнаете о главных алгоритмах, позволяющих ускорить работу программ, упростить код и решить распространенные проблемы программирования. Начните с сортировки и поиска, а затем развивайте свои навыки для решения сложных задач, таких как сжатие данных и искусственный интеллект. Научитесь сравнивать эффективность различных алгоритмов. Во втором издании даны новые, более подробные описания деревьев, NP-полные задачи, а код примеров обновлен на Python 3. Пора грокать алгоритмы по-новому!

Название: Принципы параллельного программирования
Автор: Лин К., Снайдер Л.
Издательство: Издательство Московского университета
Год: 2013
Cтраниц: 408
Формат: pdf
Размер: 53 мб
Язык: русский

В век развития многоядерной процессорной архитектуры тема параллельного программирования для инженеров и проектировщиков компьютерных систем становится очень важной.

Название: Confident AI: The Essential Skills for Working With Artificial Intelligence
Автор: Andy Pardoe
Издательство: Kogan Page
Год: 2024
Страниц: 297
Язык: английский
Формат: pdf (true), epub
Размер: 23.0 MB

Discover new skills, expand your knowledge and build your confidence through this fascinating and accessible guide to working with AI. Artificial Intelligence (AI) has become an integral part of our everyday lives. But it remains an elusive, complex and intimidating technology that has hundreds of iterations and nuances. With Confident AI, build your confidence when working with AI by learning the fundamentals and discovering the intricacies of the industry. Andy Pardoe has spent decades working with AI, not only as an influential academic but also within corporations and as a consultant and accelerator for AI start-ups. He draws upon his expertise and lived experience to offer the essential skills and tools that you need to succeed with Artificial Intelligence, whether you are pursuing it as a career or simply working with AI in your work-life. Certainly, the capabilities of AI and ML have improving significantly with advances such as Deep Learning (DL) and Reinforcement Learning (RL) over the last decade or so, with many narrow applications having been demonstrated to deliver performance equivalent to human levels of ability. Deep Learning algorithms and architectures set the groundwork on which much of the recent progress has been made and certainly form the foundation for the popular Generative AI applications we see today. Machine Learning is a subfield of Artificial Intelligence that involves training algorithms to automatically learn and improve from data without being explicitly programmed. This is a significant departure from how we have built technology systems and applications previously and we are still discovering the best ways to do it to help us avoid things like decision bias and other ethical challenges. This chapter introduces the basic concepts of Machine Learning, including common algorithms and approaches like supervised and unsupervised learning.

Название: Ruby on Rails for Agile Web Development: A Hands-on Guide to Building Dynamic and Efficient Web Applications
Автор: Sajjad Umar
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 353
Язык: английский
Формат: epub (true)
Размер: 110.2 MB

Master the Art of Agile Development with Ruby on Rails. Discover the power of Ruby on Rails web development framework, through the pages of "Ruby on Rails for Agile Web Development". This book combines the robustness of Rails with the agility of development methodologies like Scrum and Kanban to help you efficiently build high-performing web applications. The aim of this book is to make the learning process both accessible and enjoyable for everyone, whether you are just starting out or are an experienced developer seeking to expand your skills. Throughout this book, you will embark on a step-by-step learning journey. Starting with the basics of the Ruby language, we will gradually explore the architecture of Rails and delve into the principles of Agile development. You will learn how to implement CRUD operations, manage databases, and build RESTful APIs. We will also cover essential topics such as authentication, authorization, and security best practices. Additionally, this book introduces advanced concepts to help you build dynamic and scalable applications, and you will learn how to deploy your applications seamlessly. By the end of the book, you will emerge as a competent Ruby on Rails developer with a deep understanding of agile web development principles. With real-world examples and practical exercises, this book empowers you to tackle real-time challenges and build robust web applications. You will confidently implement features like social media integration, email functionality, payment gateways, and file uploads. This book sets you on a path to success in the rapidly evolving field of web development. Prepare to excel, innovate, and create outstanding web applications using the power of Ruby on Rails. This book is for aspiring beginners and seasoned professionals, including web developers, software engineers, students, and startup enthusiasts, passionate about creating robust web applications using Ruby on Rails. Prior programming experience and familiarity with web development concepts, such as HTML and CSS, are advantageous but not mandatory.

Название: neuroAI: Winning the Minds of Consumers with Neuroscience Powered GenAI
Автор: A.K. Pradeep, Anirudh Acharya, Rajat Chakravarty, Ratnakar Dev
Издательство: Wiley
Год: 2025
Страниц: 285
Язык: английский
Формат: pdf (true)
Размер: 39.5 MB

It is the most powerful revolution of this century. Neuroscience-powered GenAi enables massive impact on everything from medicine to marketing, entertainment to education, flavors to fragrances, and much more. Simply by blending cutting edge neuroscience with bleeding edge GenAi. Put humanity back at the center of GenAI. neuroAI: Winning the Minds of Consumers with Neuroscience Powered GenAi is the master guide for everyone seeking to understand this breakthrough technology; what it is, how it works, and most especially how to put it to work for competitive advantage in the marketplace. neuroAI combines learnings from advanced neuroscience with deep GenAI expertise and practical how-to's. This is a 'force multiplier,' enabling readers to gain the fullest understanding of how to apply neuroscience-powered GenAI to appeal most effectively to the hidden driver of 95% of consumer behavior: the non-conscious mind. Innovators, creatives, and corporate executives now have a blueprint of how to unleash neuroAi at scale in the enterprise. The focus is on “Top Line Growth”—build and grow revenues while exciting and winning consumers. Understanding GenAI, and even more specifically the interplay between neuroscience and AI, will take you well into the new world which we are all inhabiting more and more every day. But this chapter, and this book, are much more than an elite lecture on Generative AI and neuroscience. The parallel purpose of this book, and each of its chapters, is to equip you with the knowledge and the tools that this revolutionary invention offers, that which you can use in your career and your life. Given the proliferation of GenAi, it is important to ask the question, “if everyone has GenAi, how does it create a differentiator? Does Generative AI rapidly become generic AI?” We posit that the intelligent blending of neuroscience and GenAi creates true marketplace differentiators, and this the natural evolution of GenAi to neuroAI. Welcome to the natural evolution of GenAI – neuroAI.

Название: The WebGPU Sourcebook: High-Performance Graphics and Machine Learning in the Browser
Автор: Matthew Scarpino
Издательство: CRC Press
Год: 2025
Страниц: 385
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

The WebGPU Sourcebook: High-Performance Graphics and Machine Learning in the Browser explains how to code web applications that access the client’s graphics processor unit, or GPU. This makes it possible to render graphics in a browser at high speed and perform computationally-intensive tasks such as machine learning. By taking advantage of WebGPU, web developers can harness the same performance available to desktop developers. The first part of the book introduces WebGPU at a high level, without graphics theory or heavy math. The chapters in the second part are focused on graphical rendering and the rest of the book focuses on compute shaders. Because WebGPU enables web applications to access the GPU, it’s quite possible that this final hurdle may be overcome. As I learned more about the subject, I became impressed by how simple the API was. Unlike OpenGL, WebGPU doesn’t require vertex buffer objects and vertex array objects. Unlike Vulkan, WebGPU doesn’t require lengthy swapchain and surface configuration. I’m thrilled to have the opportunity to present this fascinating subject, and I’ve split this book’s content into three parts. The first part introduces WebGPU at a high level, without graphical rendering or computation. This part consists of Chapters 1 and 2, which presents the many jаvascript objects that applications need to create in order to access the GPU.