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 Название: Virtual Threads, Structured Concurrency, and Scoped Values: Explore Java's New Threading Model
Автор: Ron Veen, David Vlijmincx
Издательство: Apress
Год: 2024
Язык: английский
Формат: pdf
Размер: 10.1 MB
Discover the exciting new APIs introduced by Java’s Project Loom. This quick guide covers all the essential concepts the Java developer needs in order to understand virtual threads, structured concurrency, and scoped values. Authors Ron Veen and David Vlijmincx clearly explain the superiority of virtual threads, introduced in Java 21, over the traditional Java threads of the past 25 years. Then they dive into how structured concurrency streamlines interactions by treating related threads as a unified unit of work, akin to the impact of structured programming on regular programming. From there, the authors explore the third Project Loom API and scoped values, clarifying their advantages over regular ThreadLocals and providing efficient usage insights. The book concludes with an exploration of common scheduling strategies. By the end of this book, you will have a solid understanding of the concepts behind Project Loom and will be able to immediately apply this knowledge to your own code. For Java developers of any level. This knowledge is so fundamental to staying relevant in the Java job market that every developer needs to understand it for their career development. | |
Разместил: Ingvar16 5-09-2024, 01:34 | Комментарии: 0 | Подробнее
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 Название: Networked Artificial Intelligence: AI-Enabled 5G Networking
Автор: Radhika Ranjan Roy
Издательство: CRC Press
Год: 2025
Страниц: 220
Язык: английский
Формат: pdf (true)
Размер: 24.5 MB
The integration of fifth generation (5G) wireless technologies with distributed Artificial Intelligence (AI) is transforming network operations. AI is increasingly embedded in all network elements, from cloud and edge to terminal devices, enabling AI to function as a networking system. This convergence facilitates AI-based applications across the global network, with notable successes in various domains such as computer vision, natural language processing, and healthcare. Networked Artificial Intelligence: AI-Enabled 5G Networking a comprehensive framework for the deep integration of computing and communications, optimizing networks and applications as a unified system using AI. The book covers topics ranging from networked AI fundamentals to AI-enabled 5G networks, including agent modeling, machine learning (ML) algorithms, and network protocol architectures. It discusses how network service providers can leverage AI and ML techniques to customize network baselines, reduce noise, and accurately identify issues. The book presents a comprehensive approach to AI-enabled networking that offers unprecedented opportunities for efficiency, reliability, and innovation in telecommunications. It works through the approach’s five steps of connection, communication, collaboration, curation, and community. These steps enhance network effects, empowering operators with insights for trusted automation, cost reduction, and optimal user experiences. The book also discusses AI and ML capabilities that enable networks to continuously learn, self-optimize, and predict and rectify service degradations proactively, even with full automation. | |
Разместил: Ingvar16 4-09-2024, 22:29 | Комментарии: 0 | Подробнее
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 Название: Generative AI models
Автор: Jovan Pehcevski
Издательство: Arcler Press
Год: 2024
Страниц: 419
Язык: английский
Формат: pdf (true)
Размер: 50.2 MB
The Generative AI is especially powerful in several areas, such as text generation (product description, article writing), image and video generation (AI-generated pictures and videos for marketing industry), and voice and sound generation (for film industry). This book edition covers different topics of generative AI models, including: image generation techniques, video generation techniques, speech / voice generation techniques, and societal and ethical issues of these models. The world is changing rapidly, and scientific and technological progress plays a key role in this. Artificial Intelligence (AI), which has permeated all spheres of social, economic, scientific research and everyday life, has a special influence. Today, the spotlight is on generative artificial intelligence, which has the potential to change the world in the coming years, in terms of development, commercial and social perspectives. Within a few months, ChatGPT has become the most prominent representative of the new generation of Generative Artificial Intelligence systems. Others are called LaMDA, DALL-E or Stable Diffusion. These programs produce fundamentally new texts, codes, images or even videos. The results are so convincing that it is often impossible to tell whether they were created by human or machine. | |
Разместил: Ingvar16 4-09-2024, 17:57 | Комментарии: 0 | Подробнее
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 Название: Fusion of Artificial Intelligence and Machine Learning for Advanced Image Processing, Data Analysis, and Cyber Security
Автор: Arun Kumar Rana, Rashmi Gupta, Sharad Sharma, Ahmed A. Elngar, Sachin Dhawan
Издательство: Apple Academic Press, CRC Press
Серия: AAP Advances in Artificial Intelligence & Robotics
Год: 2025
Страниц: 271
Язык: английский
Формат: pdf (true), epub
Размер: 28.4 MB
This book focuses on the fusion of Artificial Intelligence and Machine Learning in advanced image processing, data analysis, and cyber security, as well as compiles and discusses various engineering solutions using various Artificial Intelligence paradigms. It looks at recent technological advancements and considers how Artificial Intelligence, Machine Learning, Deep Learning, soft computing, and evolutionary computing techniques can be used to design, implement, and optimize advanced image processing, data analysis, and cyber security engineering solutions. It will readers develop the insight required to use the tools of digital imaging to solve new problems. The book is divided into sections that deal with Fusion of Artificial Intelligence and Machine Learning for Advanced Image Processing, Data Analysis, and Cyber Security offers a selection of chapters on the application of Artificial Intelligence and Machine Learning for advanced image processing, data analysis, and cyber security. This book will surely enhance the knowledge of readers interested in these areas. Focuses on the fusion of Artificial Intelligence and Machine Learning in advanced image processing, data analysis, and cyber security. Considers recent advancements in AI and ML and their use in design, implementation, and optimization. Compiles and discusses various engineering solutions using different Artificial Intelligence paradigms. | |
Разместил: Ingvar16 4-09-2024, 16:36 | Комментарии: 0 | Подробнее
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 Название: Программирование в Roblox. Сделать игру - проще простого: Создание игр с помощью Roblox Studio и языка программирования Lua от «А» до «Я»
Автор: Брамбо З.
Издательство: ДМК Пресс
Год: 2022
Cтраниц: 198
Формат: pdf
Размер: 16 мб
Язык: русский
Roblox — уникальная глобальная виртуальная платформа, предназначенная для создания и прохождения игр. Ее посещает более 150 миллионов активных пользователей в месяц. На Roblox публикуются игры разнообразных жанров, созданные на языке программирования Lua и доступные для запуска всем участникам сообщества Roblox. Используя данное руководство, вы научитесь пользоваться программой Roblox Studio, создадите свои первые игры, узнаете, как оптимизировать их производительность и сможете успешно монетизировать свои проекты. | |
Разместил: rivasss 4-09-2024, 16:18 | Комментарии: 0 | Подробнее
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 Название: Marketing with AI For Dummies
Автор: Shiv Singh
Издательство: For Dummies
Год: 2025
Страниц: 403
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.1 MB
Stay ahead in the marketing game by harnessing the power of Artificial Intelligence (AI). Marketing with AI For Dummies is your introduction to the revolution that's occurring in the marketing industry, thanks to Artificial Intelligence tools that can create text, images, audio, video, websites, and beyond. This book captures the insight of leading marketing executive Shiv Singh on how AI will change marketing, helping new and experienced marketers tackle AI marketing plans, content, creative assets, and localized campaigns. You'll also learn to manage SEO and customer personalization with powerful new technologies. Technology can revolutionize our lives in unimaginable ways. Many people don’t remember life before e-mail, the World Wide Web, mobile phones, and video streaming. Work routines often rely heavily on laptops, wireless Internet, and search engines. The transformations driven by Artificial Intelligence (AI) fall into this same category of technological shifts but, arguably, will be more dramatic than any of the other shifts that came before. The programming language Python, because of its simplicity and robustness, emerged as the lingua franca of Machine Learning. Being familiar with AI programming terminology is helpful. Before you panic, understand that as a marketer, you don’t need to master Python or delve into its libraries. But when you partner with data, technology, and analytics teams, you may encounter discussions about Python and its associated libraries. And thanks to advancements in GPT (generative pre-trained transformer, a type of Machine Learning that generates new content in response to a user prompt), as a marketer, you can guide this AI to generate Python code on your behalf. | |
Разместил: Ingvar16 4-09-2024, 15:41 | Комментарии: 0 | Подробнее
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 Название: Text Mining Approaches for Biomedical Data
Автор: Aditi Sharan, Nidhi Malik, Hazra Imran, Indira Ghosh
Издательство: Springer
Серия: Transactions on Computer Systems and Networks
Год: 2024
Страниц: 438
Язык: английский
Формат: pdf (true), epub
Размер: 102.8 MB
The book 'Text Mining Approaches for Biomedical Data' delves into the fascinating realm of text mining in healthcare. It provides an in-depth understanding of how Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing healthcare research and patient care. The book covers a wide range of topics such as mining textual data in biomedical and health databases, analyzing literature and clinical trials, and demonstrating various applications of text mining in healthcare. This book is a guide for effectively representing textual data using vectors, knowledge graphs, and other advanced techniques. It covers various text mining applications, building descriptive and predictive models, and evaluating them. Additionally, it includes building Machine Learning models using textual data, covering statistical and Deep Learning approaches. Deep Learning architectures have become increasingly popular in recent years for various Natural Language Processing (NLP) tasks, including NER (Named Entity Recognition) task. Deep Learning architectures, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), can learn complex relationships between input data and output labels, making them well-suited for NER tasks. In this subsection, we will present a comprehensive overview of the various Deep Learning models that have been applied to the task of NER. This book is designed to be a valuable reference for Computer Science professionals, researchers in the biomedical field, and clinicians. It provides practical guidance and promotes collaboration between different disciplines. Therefore, it is a must-read for anyone who is interested in the intersection of text mining and healthcare. | |
Разместил: Ingvar16 4-09-2024, 14:32 | Комментарии: 0 | Подробнее
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Название: Linux и Go. Эффективное низкоуровневое программирование. 2-е издание
Автор: Цилюрик Олег Иванович
Издательство: БХВ-Петербург
Год: 2024
Формат: PDF
Страниц: 386
Размер: 36 Mb
Язык: Русский
Книга содержит вводный курс по языку Go для системного программирования, описывает применение Go для реализации конкурентности и параллелизма, рассказывает об интероперабельности между имеющимся кодом на C с новым кодом на Go, а также исследует возможности внедрения Go для повышения производительности различных дистрибутивов. Второе издание содержит описание языка Go в версии 1.2 и описание реализации TinyGo, дополнительно приведены новые примеры использования языка.
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Разместил: Chipa 4-09-2024, 14:04 | Комментарии: 0 | Подробнее
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 Название: Использование приложения MS Excel для моделирования различных задач
Автор: Кильдишов В.Д.
Издательство: СОЛОН-Пресс
Год: 2019
Cтраниц: 156
Формат: pdf
Размер: 32 мб
Язык: русский
Книга является практическим руководством по моделированию задач с использованием приложения MS Excel. Книга предназначена для школьников, студентов и преподавателей, которые хотят быть знакомы с MS Excel «на Вы», а также научиться моделированию, разработке моделей, алгоритмов и программ. Прочитав эту книгу, Вы научитесь использовать возможности MS Excel, о которых ранее не знали. | |
Разместил: rivasss 4-09-2024, 11:18 | Комментарии: 0 | Подробнее
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 Название: Introduction to Modern Scientific Programming and Numerical Methods
Автор: Lubos Brieda, Joseph Wang, Robert Martin
Издательство: CRC Press
Год: 2025
Страниц: 475
Язык: английский
Формат: pdf (true), epub
Размер: 22.9 MB
The ability to use computers to solve mathematical relationships is a fundamental skill for anyone planning for a career in science or engineering. For this reason, numerical analysis is part of the core curriculum for just about every undergraduate physics and engineering department. But for most physics and engineering students, practical programming is a self-taught process. This book introduces the reader not only to the mathematical foundation but also to the programming paradigms encountered in modern hybrid software-hardware scientific computing. After completing the text, the reader will be well-versed in the use of different numerical techniques, programming languages, and hardware architectures, and will be able to select the appropriate software and hardware tool for their analysis. Key Features: Includes examples of solving numerical problems in multiple programming languages, including MATLAB, Python, Fortran, C++, Arduino, jаvascript, and Verilog. Provides an introduction to modern high performance computing technologies including multithreading, distributed computing, GPUs, microcontrollers, FPGAs, and web “cloud computing”. Contains an overview of numerical techniques not found in other introductory texts including particle methods, finite volume and finite element methods, Vlasov solvers, molecular dynamics. | |
Разместил: Ingvar16 4-09-2024, 08:47 | Комментарии: 0 | Подробнее
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