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Название: The Rise of AI Agents: Integrating AI, Blockchain Technologies, and Quantum Computing (Early Release)
Автор: Petar Radanliev
Издательство: Addison-Wesley/Pearson
Год: 2025
Страниц: 368
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Discover the Future of Technology with The Rise of AI Agents. In The Rise of AI Agents, you'll explore how Artificial Intelligence (AI), Blockchain, and Quantum Computing are revolutionizing the world. This book goes beyond theory, offering a practical and insightful journey into the possibilities and challenges of these groundbreaking technologies. Drawing from years of experience in AI, Cybersecurity, and Quantum Computing, Dr. Petar Radanliev aims to bridge academic research with real-world application. Whether you're a professional looking to apply cutting-edge solutions or a student eager to stay ahead of the curve, this book will provide valuable insights into the ever-evolving tech landscape. The Rise of AI Agents offers a holistic view of these interconnected technologies, making complex topics easy to grasp for readers of all backgrounds. It's not just about understanding the theories-this book equips you with the tools to apply them in real-world scenarios. This book is designed to inspire and inform, giving you the knowledge and confidence to navigate and thrive in the fast-paced world of AI, Blockchain, and Quantum Computing.

Название: Ultimate Deepfake Detection Using Python: Master Deep Learning Techniques like CNNs, GANs, and Transformers to Detect Deepfakes in Images, Audio, and Videos Using Python
Автор: Nimrita Koul
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 306
Язык: английский
Формат: epub (true)
Размер: 91.6 MB

Deepfake Detection Unlocked: Python Approaches for Deepfake Images, Videos, Audio Detection. In today's digital world, mastering deepfake detection is crucial, with deepfake content increasing by 900% since 2019 and 96% used for malicious purposes like fraud and disinformation. "Ultimate Deepfake Detection with Python" equips you with the skills to combat this threat using Python’s AI libraries, offering practical tools to protect digital security across images, videos, and audio. This book explores generative AI and deepfakes, giving readers a clear understanding of how these technologies work and the challenges of detecting them. With practical Python code examples, it provides the tools necessary for effective deepfake detection across media types like images, videos, and audio. Each chapter covers vital topics, from setting up Python environments to using key datasets and advanced Deep Learning techniques. Whether building new detection systems or improving current ones, this book offers expert strategies to stay ahead in digital media security. This book is structured into ten comprehensive chapters that guide you through the essential aspects of deepfake detection. It begins with the foundational concepts of generative models and deepfake technology, exploring the principles behind detecting deepfake media. You will then learn about Python as a powerful tool for deepfake detection, followed by an in-depth examination of the relevant datasets and deep learning approaches critical for building robust detection systems. The book provides detailed Python code for creating deepfake detection systems specifically tailored to images, videos, and audio. Finally, it culminates in a thorough case study of an award-winning deepfake detection system, offering practical insights and expert techniques.

Название: Обработка больших данных
Автор: Джейд Картер
Издательство: Литрес
Год: 2024
Формат: pdf, epub
Размер: 11 Мб
Качество: Хорошее
Язык: Русский

Книга является пособием для изучения технологий больших данных, охватывая основные и продвинутые аспекты работы с данными в распределенных системах. Начав с основ, она объясняет значение БД, их эволюцию и экосистему Hadoop, включая компоненты и инструменты: HDFS, MapReduce, Hive, Pig, HBase, Sqoop и Flume.
Автор раскрывает архитектуру и принципы работы Apache Hadoop, а также примеры использования MapReduce и работу с данными в HDFS, Apache Spark, описывая его основные компоненты, такие как RDD, DataFrames, Spark SQL, Spark Streaming, MLLib и GraphX, и предоставляет практические примеры установки и настройки.

Название: C++ AMP. Построение массивно параллельных программ с помощью Microsoft Visual C++
Автор: Кейт Грегори, Эйд Миллер
Издательство: ДMK
Год: 2013
Страниц: 412
Формат: PDF
Размер: 10 Mb
Язык: Русский

С++ Accelerated Massive Parallelism (С++ AMP) – разработанная корпорацией Microsoft технология ускорения написанных на С++ приложений за счет исполнения кода на оборудовании с распараллеливанием по данным например, на графических процессорах. Модель программирования в С++ AMP основана на библиотеке, устроенной по образцу STL, и двух расширениях языка С++, интегрированных в компилятор Visual С++ 2012. Она в полной мере поддерживается инструментами Visual Studio, в том числе IntelliSense, отладчиком и профилировщиком.

Название: Разработка мобильных приложений
Автор: Нурпеисова Г.Б., Нурпеисова Т.Б., Кайдаш И.Н., Панюкова Д.В.
Издательство: Алматы: Бастау
Год: 2020
Формат: pdf
Страниц: 324
Размер: 14 mb
Язык: русский

В данном учебном пособии рассматриваются современные мобильные технологии и платформы разработки мобильных приложений. Представлена их классификация.
Учебное пособие является руководством по созданию приложений для мобильных платформ Android и, частично, iOS. Пособие представляет собой комплекс теоретических и практических учебных материалов для студентов бакалавриата по направлению подготовки 6В061 Информационно-коммуникационные технологии, магистрантов, преподавателей, обеспечивающих учебный процесс по дисциплинам, связанным с мобильными и клиент-серверными приложениями.

Название: Agents in the Long Game of AI: Computational Cognitive Modeling for Trustworthy, Hybrid AI
Автор: Marjorie McShane, Sergei Nirenburg, Jesse English
Издательство: The MIT Press
Год: 2024
Страниц: 337
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

A novel approach to hybrid AI aimed at developing trustworthy agent collaborators. The vast majority of current AI relies wholly on Machine Learning (ML). However, the past thirty years of effort in this paradigm have shown that, despite the many things that ML can achieve, it is not an all-purpose solution to building human-like intelligent systems. One hope for overcoming this limitation is hybrid AI: that is, AI that combines ML with knowledge-based processing. In Agents in the Long Game of AI, Marjorie McShane, Sergei Nirenburg, and Jesse English present recent advances in hybrid AI with special emphases on content-centric computational cognitive modeling, explainability, and development methodologies. At present, hybridization typically involves sprinkling knowledge into an ML black box. The authors, by contrast, argue that hybridization will be best achieved in the opposite way: by building agents within a cognitive architecture and then integrating judiciously selected ML results. This approach leverages the power of ML without sacrificing the kind of explainability that will foster society’s trust in AI. This book shows how we can develop trustworthy agent collaborators of a type not being addressed by the “ML alone” or “ML sprinkled by knowledge” paradigms—and why it is imperative to do so.

Название: Game Programming with Unity and C#: A Complete Beginner's Guide, 2nd Edition
Автор: Casey Hardman
Издательство: Apress
Год: 2024
Страниц: 428
Язык: английский
Формат: pdf (true), epub (true)
Размер: 20.7 MB

Learn the essentials of the Unity game engine, the C# programming language, and the art of object-oriented programming. This book is aimed at beginners with no knowledge or experience in game development or programming. Packed with examples, this Second Edition is up-to-date with the latest Unity standards and features as of 2023, and includes many adjustments to improve your experience. Starting with an introduction to Unity, you will learn the essentials of the engine: navigating the various windows, managing the objects that make up your game, and understanding the concepts that are fundamental to the engine. After that, you will gain a solid foundation in the concepts of object-oriented programming and the syntax of the C# language. Then the fun really begins, as you get hands-on experience building three playable example projects that drill you on the concepts you’ve learned until they stick. For beginners who have no prior experience with programming or game development, who would like to learn to create games with a solid foundation that prepares them to further develop their skills.

Название: Data Science: An Emerging Trend in Engineering, Science & Technology
Автор: Mrunalini Moon, Ankita Shende, Monika Walde, Devki Nandgaye
Издательство: Independently published
Год: 2024
Страниц: 432
Язык: английский
Формат: epub
Размер: 36.3 MB

Data Science is a deep study of the massive amount of data, which involves extracting meaningful insights from raw, structured, and unstructured data that is processed using the scientific method, different technologies, and algorithms. It is a multidisciplinary field that uses tools and techniques to manipulate the data so that you can find something new and meaningful. Some of the most popular Data science tools are Python, Hadoop, Spark, R, Tensor Flow, BigML, MATLAB, Excel, and more. NumPy stands for Numerical Python. It is a Python library used for working with an array. In Python, we use the list for purpose of the array but it’s slow to process. NumPy array is a powerful N-dimensional array object and its use in linear algebra, Fourier transform, and random number capabilities. It provides an array object much faster than traditional Python lists. Numpy has fast built-in aggregate and statistical for working on arrays. By using these function or if we have good knowledge of these functions than we will play with arrays. NumPy is a Python package which means ‘Numerical Python’. It is the library for logical computing, which contains a powerful n-dimensional array object, gives tools to integrate C, C++ and so on. Pandas is an open-source data analysis and data manipulation library written in Python. Pandas provide you with data structures and functions to work on structured data seamlessly. The name Pandas refer to “Panel Data”, which means a structured dataset. Pandas have two main classes to work on, DataFrame and Series. Data Visualization is the process of presenting data in the form of graphs or charts. Matplotlib is a low-level library of Python which is used for data visualization. It is easy to use and emulates MATLAB like graphs and visualization. This library is built on the top of NumPy arrays and consists of several plots like line chart, bar chart, histogram, etc. It provides a lot of flexibility but at the cost of writing more code.

Название: Технология разработки программного обеспечения
Автор: Яворский В., Томилова Н.
Издательство: Астана: Фолиант
Год: 2010 - 2-е изд.
Формат: pdf
Страниц: 376
Размер: 16 mb
Язык: русский

Цель учебника - помочь в освоении современных методов и средств разработки программного обеспечения сложных программных продуктов, основанных на использовании CASE-технологий, а также навыков их самостоятельного применения.
Изложены классические основы программной инженерии, показаны последние научные достижения и практические достижения, характеризующие динамику развития этой области, продемонстрирован комплексный подход к решению наиболее важных вопросов, возникающих в больших программных проектах.

Название: x86 Software Reverse-Engineering, Cracking, and Counter-Measures
Автор: Stephanie Domas, Christopher Domas
Издательство: Wiley
Год: 2024
Страниц: 317
Язык: английский
Формат: pdf (true), epub (true)
Размер: 15.8 MB, 39.5 MB

A crystal-clear and practical blueprint to software disassembly. x86 Software Reverse-Engineering, Cracking, and Counter-Measures is centered around the world of disassembling software. It will start with the basics of the x86 assembly language, and progress to how that knowledge empowers you to reverse-engineer and circumvent software protections. No knowledge of assembly, reverse engineering, or software cracking is required. Reverse engineering and software cracking are disciplines with a long, rich history. For decades, software developers have attempted to build defenses into their applications to protect intellectual property or to prevent modifications to the program code. The art of cracking has been around nearly as long as reverse engineers have been examining and modifying code for fun or profit. The book begins with a bootcamp on x86, learning how to read, write, and build in the assembly that powers a massive amount of the world's computers. Then the book will shift to reverse engineering applications using a handful of industry favorites such as IDA, Ghidra, Olly, and more. Next, we move to cracking with techniques such as patching and key generation, all harnessing the power of assembly and reverse engineering. Lastly, we'll examine cracking from a defensive perspective. Providing learners with techniques to be a better defender of their own software, or knowledge to crack these techniques more effectively. From security professionals to hobbyists, this book is for anyone who wants to learn to take apart, understand, and modify black-box software.