Название: Artificial Intelligence of Neuromorphic Systems: From Digital, Analogue, Quantum, and Brain-Oriented Computing to Hybrid AI
Автор: Klaus Mainzer
Издательство: World Scientific Publishing Company
Год: 2024
Страниц: 436
Язык: английский
Формат: pdf (true)
Размер: 31.7 MB

This book argues for neuromorphic systems as a technology of the future, which are oriented towards the energy efficiency of natural brains. Energy efficiency is a dramatic claim in times of environmental and climate challenges which should consider the sustainability goals of the United Nations (UN). Mathematically, neuromorphic computing is connected to analogue ('real') computing, which theoretically overcomes the limits of digital Turing computability. Therefore, the book also considers material sciences and engineering sciences which start to realize neuromorphic computing in hardware. Other mathematical formalisms such as quantum mechanics also open up new solutions (e.g., quantum computing) beyond the limits of digital Turing computability. These research fields are no longer merely of theoretical interest, they promise increasing innovation power of market interest. Nevertheless, neuromorphic computing is connected with deep logical, mathematical, and epistemic questions. Does it open new avenues to Artificial General Intelligence (AGI)? All these tendencies of research and innovation demonstrate that we need more integrated research in the foundations of logic, mathematics, physics, engineering sciences, cognitive science, and philosophy. The book is a plea for this kind of research.

Название: Introduction to Data Governance for Machine Learning Systems: Fundamental Principles, Critical Practices, and Future Trends
Автор: Aditya Nandan Prasad
Издательство: Apress
Год: 2024
Страниц: 731
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

This book is the first comprehensive guide to the intersection of data governance and Machine Learning (ML) projects. As ML applications proliferate, the quality, reliability, and ethical use of data is central to their success, which gives ML data governance unprecedented significance. However, adapting data governance principles to ML systems presents unique, complex challenges. Author Aditya Nandan Prasad equips you with the knowledge and tools needed to navigate this dynamic landscape effectively. Through this guide, you will learn to implement robust and responsible data governance practices, ensuring the development of sustainable, ethical, and future-proofed AI applications. For data professionals, including data scientists, data engineers, AI developers, or data governance specialists, as well as managers or decision makers looking to implement or improve data governance practices for Machine Learning projects.

Название: The Art of Mac Malware, Volume 2: Detecting Malicious Software
Автор: Patrick Wardle
Издательство: No Starch Press
Год: 2025
Страниц: 376
Язык: английский
Формат: pdf, epub
Размер: 11.4 MB

As renowned Mac security expert Patrick Wardle notes in The Art of Mac Malware, Volume 2, the substantial and growing number of Mac users, both personal and enterprise, has created a compelling incentive for malware authors to ever more frequently target macOS systems. The only effective way to counter these constantly evolving and increasingly sophisticated threats is through learning and applying robust heuristic-based detection techniques. To that end, Wardle draws upon decades of experience to guide you through the programmatic implementation of such detection techniques. By exploring how to leverage macOS’s security-centric frameworks (both public and private), diving into key elements of behavioral-based detection, and highlighting relevant examples of real-life malware, Wardle teaches and underscores the efficacy of these powerful approaches.

Название: AI Engineering: Building Applications with Foundation Models
Автор: Chip Huyen
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 535
Язык: английский
Формат: True/Retail PDF, True/Retail EPUB
Размер: 59.2 MB

Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has transformed AI from an esoteric discipline into a powerful development tool that anyone can use. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications. In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models. The book starts with an overview of AI engineering, explaining how it differs from traditional ML engineering and discussing the new AI stack. This book discusses different approaches to evaluating open-ended models, including the rapidly growing AI-as-a-judge approach. AI application developers will discover how to navigate the AI landscape, including models, datasets, evaluation benchmarks, and the seemingly infinite number of use cases and application patterns. You'll learn a framework for developing an AI application, starting with simple techniques and progressing toward more sophisticated methods, and discover how to efficiently deploy these applications.

Название: Understanding Artificial Intelligence: Fundamentals, Use Cases and Methods for a Corporate AI Journey
Автор: Ralf T. Kreutzer
Издательство: Springer
Год: 2024
Страниц: 491
Язык: английский
Формат: pdf (true)
Размер: 19.7 MB

This book on Artificial Intelligence (AI) explores its transformative potential for individuals and businesses. It covers AI basics and its applications across various industries, presenting AI as a foundational technology that will impact all aspects of life and the economy. The author emphasizes the need for responsible AI usage and introduces the concept of the "AI Journey" for businesses to leverage AI's potential. The second edition is updated with recent developments, including large language models like Aleph Alpha and ChatGPT, Generative AI, affective computing, and ethical considerations. It also discusses open-source solutions, legal frameworks, and practical use cases. Recommended for leaders, decision-makers, students, professors, and anyone interested in understanding AI's future impact.

Название: Data Structures: Abstraction and Design Using Java, 4th Edition
Автор: Elliot B. Koffman, Paul A.T. Wolfgang
Издательство: Wiley
Год: 2021
Страниц: 691
Язык: английский
Формат: pdf (true)
Размер: 69.0 MB

Data Structures: Abstraction and Design Using Java offers a coherent and well-balanced presentation of data structure implementation and data structure applications with a strong emphasis on problem solving and software design. Step-by-step, the authors introduce each new data structure as an abstract data type (ADT), explain its underlying theory and computational complexity, provide its specification in the form of a Java interface, and demonstrate its implementation as one or more Java classes. Case studies using the data structures covered in the chapter show complete and detailed solutions to real-world problems, while a variety of software design tools are discussed to help students “Think, then code.” The book supplements its rigorous coverage of basic data structures and algorithms with chapters on sets and maps, balanced binary search trees, graphs, event-oriented programming, testing and debugging, and other key topics. The fourth edition of Data Structures: Abstraction and Design Using Java enables students to measure their progress after completing each section through interactive questions, quick-check questions, and review questions.

Название: Stochastic Finance with Python: Design Financial Models from Probabilistic Perspective
Автор: Avishek Nag
Издательство: Apress
Год: 2024
Страниц: 384
Язык: английский
Формат: pdf
Размер: 16.0 MB

Journey through the world of stochastic finance from learning theory, underlying models, and derivations of financial models (stocks, options, portfolios) to the almost production-ready Python components under cover of stochastic finance. This book will show you the techniques to estimate potential financial outcomes using stochastic processes implemented with Python. The book starts by reviewing financial concepts, such as analyzing different asset types like stocks, options, and portfolios. It then delves into the crux of stochastic finance, providing a glimpse into the probabilistic nature of financial markets. You'll look closely at probability theory, random variables, Monte Carlo simulation, and stochastic processes to cover the prerequisites from the applied perspective. Then explore random walks and Brownian motion, essential in understanding financial market dynamics. You'll get a glimpse of two vital modelling tools used throughout the book - stochastic calculus and stochastic differential equations (SDE). Advanced topics like modeling jump processes and estimating their parameters by Fourier-transform-based density recovery methods can be intriguing to those interested in full-numerical solutions of probability models. For data scientists, quantitative researchers and practitioners, software engineers and AI architects interested in quantitative finance.

Название: Deep Learning for 3D Point Clouds
Автор: Wei Gao, Ge Li
Издательство: Springer
Год: 2025
Страниц: 330
Язык: английский
Формат: pdf (true)
Размер: 24.9 MB

As an efficient 3D vision solution, point clouds have been widely applied into diverse engineering scenarios, including immersive media communication, autonomous driving, reverse engineering, robots, topography mapping, digital twin city, medical analysis, digital museum, etc. Thanks to the great developments of Deep Learning theories and methods, 3D point cloud technologies have undergone fast growth during the past few years, including diverse processing and understanding tasks. Human and machine perception can be benefited from the success of using Deep Learning approaches, which can significantly improve 3D perception modeling and optimization, as well as 3D pre-trained and large models. This book delves into these research frontiers of Deep Learning-based point cloud technologies. The subject of this book focuses on diverse intelligent processing technologies for the fast-growing 3D point cloud applications, especially using Deep Learning-based approaches. The Deep Learning-based enhancement and analysis methods are elaborated in detail, as well as the pre-trained and large models with 3D point clouds.

Название: Getting Started with Azure OpenAI: Deploying and Managing Azure AI and Azure OpenAI Solutions
Автор: Shimon Ifrah
Издательство: Apress
Год: 2024
Страниц: 270
Язык: английский
Формат: pdf (true), epub
Размер: 25.0 MB

Learn to develop AI solutions using Azure SDK for .NET and deploy them on Microsoft Azure infrastructure. The book will teach you how to deploy Azure OpenAI services using Azure PowerShell, Azure CLI, and Azure API, as well as how to develop a variety of AI solutions using Azure AI services and tools. The book starts with an introduction to Azure AI and OpenAI, followed by a thorough n exploration of the necessary tools and services for deploying OpenAI in Azure. It covers Azure PowerShell, Copilot, and Azure CLI, and includes guidance on using Terraform with Azure OpenAI resources. Subsequently, detailed discussions on developing the Azure .NET SDK for Azure OpenAI and AI Services, alongside its use cases, are provided. Progressing further, readers will gain insight into initiating with Azure AI Studio and building Copilot with its help. Finally, various Azure AI services and AI tools are covered, encompassing GitHub Copilot for code writing and management.

Название: Hands-on iOS App Development Projects: Turn Your Ideas into Actionable, Real-World iOS Apps with Swift, Xcode, UI Kit, Core Data, AWS and OAuth
Автор: Aish Kodali
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 479
Язык: английский
Формат: epub (true)
Размер: 176.1 MB

Learn iOS App Development Efficiently with Hands-On Real-World Projects. iOS apps account for a major share of the global app market revenue, making iOS app development a crucial skill in today's tech-driven world. This book offers a practical, hands-on approach to mastering iOS app development, covering everything you need to become a professional app developer or create your own impactful apps. Packed with real-world scenarios, this book takes you from beginner to pro with practical projects and workplace-tested insights and practical solutions. You will learn how to design user-friendly interfaces, connect apps to APIs, implement secure authentication, and leverage location services—all with Apple’s Swift and Xcode. This book covers everything from downloading older Xcode versions to handling data modeling and building impactful apps. This book is designed for aspiring iOS app developers who have a foundational understanding of Swift and basic coding concepts. Familiarity with APIs and object-oriented programming will also be beneficial as you explore building real-world iOS apps with hands-on projects and practical examples.