Название: Compiler Design: Principles, Techniques, and Tools
Автор: Knowledge Flow
Издательство: Knowledge Flow
Год: 2025
Страниц: 141
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Compiler Design book by Knowledge Flow is a comprehensive guide that covers the fundamental and advanced concepts of compiler construction. This book is ideal for students, software engineers, and computer science enthusiasts who want to understand lexical analysis, syntax analysis, semantic analysis, intermediate code generation, optimization, and code generation techniques. It provides a step-by-step approach to compiler design, including parsing methods, error handling, symbol tables, and memory management. With clear explanations, real-world examples, and structured learning, this book simplifies complex topics, making it an essential resource for mastering compiler theory. Whether you're preparing for exams, enhancing programming skills, or developing your own compiler, Compiler Design by Knowledge Flow is the perfect guide. Get this book today to explore the core principles of compiler design and build a strong foundation in Computer Science!

Название: Magical Haskell: A Friendly Approach to Modern Functional Programming, Type Theory, and Artificial Intelligence
Автор: Anton Antich
Издательство: Apress
Год: 2025
Страниц: 428
Язык: английский
Формат: True PDF, True ePUB
Размер: 11.5 MB

Discover a unique and fun approach to adopting modern typed functions programming patterns. This book uses playful metaphors and examples to help you learn Haskell through imagination, building on math without relying on imperative crutches or technical complexity. You'll use math to build completely different Typed Functional patterns from the ground up and understand the link between building Mathematics through Types and constructing Haskell as a programming language. Intended for working with various applications, especially AI-powered apps, the book gently builds up to what are normally considered complex and difficult concepts all without needing a PhD to understand them. Next, you'll explore exciting advancements in AI, including building with OpenAI APIs, creating a terminal chatbot, adding web functionality, and enhancing with retrieval-augmented generation. Finally, you'll delve into AI multi-agents and future directions using Arrows abstraction, reinforcing Haskell's design. Magical Haskell is a solution for programmers who feel limited by imperative programming languages but are also put off by excessively mathematical approaches. For Haskell programmers of all levels and those interested in Type Theory.

Название: Tiny Machine Learning QuickStart: Machine Learning for Arduino Microcontrollers
Автор: Simone Salerno
Издательство: Apress
Год: 2025
Страниц: 340
Язык: английский
Формат: True PDF, True ePUB
Размер: 19.4 MB

Be a part of the Tiny Machine Learning (TinyML) revolution in the ever-growing world of IoT. This book examines the concepts, workflows, and tools needed to make your projects smarter, all within the Arduino platform. You'll start by exploring Machine learning in the context of embedded, resource-constrained devices as opposed to your powerful, gigabyte-RAM computer. You'll review the unique challenges it poses, but also the limitless possibilities it opens. Next, you'll work through nine projects that encompass different data types (tabular, time series, audio and images) and tasks (classification and regression). Throughout the book, you'll apply three different approaches to TinyML: traditional algorithms (Decision Tree, Logistic Regression, SVM), Edge Impulse (a no-code online tools), and TensorFlow for Microcontrollers. Each has its strengths and weaknesses, and you will learn how to choose the most appropriate for your use case. TinyML Quickstart will provide a solid reference for all your future projects with minimal cost and effort. For electronics hobbyists and developers with a basic understanding of Tensorflow, ML in Python, and Arduino-based programming looking to apply that knowledge with microcontrollers. Previous experience with C++ is helpful but not required.

Название: Scalable Artificial Intelligence for Healthcare: Advancing AI Solutions for Global Health Challenges
Автор: Houneida Sakly, Ramzi Guetari, Naoufel Kraiem
Издательство: CRC Press
Год: 2025
Страниц: 200
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

This edited volume examines the transformative impact of Artificial Intelligence (AI) technologies on global healthcare systems, with a focus on enhancing efficiency and accessibility. The content provides a comprehensive exploration of the principles and practices required to scale AI applications in healthcare, addressing areas such as diagnosis, treatment, and patient care. Key topics include data scalability, model deployment, and infrastructure design, highlighting the use of microservices, containerization, cloud computing, and Big Data technologies in building scalable AI systems. Discussions cover advancements in Machine Learning models, distributed processing, and transfer learning, alongside critical considerations such as continuous integration, data privacy, and ethics. Real-world case studies depict both the successes and challenges of implementing scalable AI across various healthcare environments, offering valuable insights for future advancements. Continuous integration/continuous deployment (CI/CD) practices play a critical role in advancing AI in the healthcare sector. By automating integration, testing and deployment, CI/CD pipelines enable continuous improvements in AI models.

Название: Artificial Intelligence and Biological Sciences
Автор: P.V. Mohanan
Издательство: CRC Press
Год: 2025
Страниц: 454
Язык: английский
Формат: epub (true)
Размер: 32.2 MB

Artificial Intelligence (AI) is the ability of machines to simulate the intelligence capability of higher organisms. AI has established its prevalence in many fields like mathematics, physiology, computing, biology and psychology. Ideally, an AI system should respond logically, be self-aware, have the ability to learn from the experience, and be able to discern and respond to external environments. With Deep Learning and Machine Learning algorithms, intellect systems that can perform the activities requiring human intellect, can be developed. Advancements of Artificial Intelligence (AI) in medical and biological sciences have opened new ways for drug development. Novel therapeutic molecules and their target action can be easily predicted and can be modified. AI helps in disease detection and diagnosis faster. The breakthrough of AI is made especially in the area of personalized precision medicine, host-pathogen interaction and predictive epidemiology. These approaches could help in faster decision-making with minimal errors that can improve risk analysis, especially disease diagnosis and selecting treatment strategy. In agricultural practices, an exact combination of fertilizers, pesticides, herbicides, soil management, water requirement analysis, yield prediction and overall crop management can be modified by implementing AI interventions. AI could provide a better improvement in agriculture, medical research, pharmaceuticals and bio-based industries for a sustainable life.

Название: Mastering Python Basics: Python, #1
Автор: Anwaar
Издательство: Independently published
Год: 2025
Страниц: 404
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Are you ready to dive into the world of Python programming but don't know where to start? "Mastering Python Basics: A Beginner's Guide" is the ultimate resource for absolute beginners looking to build a strong foundation in Python. This book takes you on a step-by-step journey, covering everything from basic syntax and data types to essential programming concepts like loops, functions, and object-oriented programming (OOP). With easy-to-follow explanations, practical examples, and hands-on exercises, you'll gain the confidence to start coding your own Python projects in no time! Whether you want to kickstart your coding journey, build projects, or prepare for a career in programming, this book is your perfect starting point.

Название: Analysis and Design of Delayed Neural Networks
Автор: Xin Wang, Yu Xue, Xian Zhang, Yantao Wang
Издательство: Springer
Год: 2025
Страниц: 302
Язык: английский
Формат: pdf (true)
Размер: 14.1 MB

Artificial neural network (NN) is often called NN for short. The dynamics of NNs have been applied to multiple fields, such as associative memory, autonomous navigation, data encryption, intelligent control, medicine diagnosis, optimization, pattern recognition, and so forth. This book provides a direct method based on system solutions to address the problems related to the analysis and control of Delayed Neural Networks. The method proposed in this book is important for the following reasons: It does not involve the construct of any Lyapunov-Krasovskii functional (LKF), which overcomes the difficulty in constructing an appropriate and effective LKF; It can provide more simpler sufficient conditions, and hence it possesses less computational complexity; It can result in delay-dependent global exponential stability criteria that can used to give the decay rate estimation of the state; It is suitable for analysis and design problems of most system models with (multiple) delays after a small modification. The book is divided into 11 chapters, and focuses on the analysis and design problems related to Delayed Neural Networks. It is written for graduate students and research level mathematicians and is suitable for postgraduates or as a reference.

Название: Blockchain and AI in Shaping the Modern Education System
Автор: Randhir Kumar, Prabhat Kumar, Sobin C.C., N.P. Subheesh
Издательство: CRC Press
Год: 2025
Страниц: 278
Язык: английский
Формат: epub (true)
Размер: 11.2 MB

In today’s rapidly evolving digital landscape, blockchain and Artificial Intelligence (AI) are at the forefront of transforming various industries, and education is no exception. The convergence of these two revolutionary technologies promises to reshape the modern education system by enhancing data security, promoting personalized learning, and creating decentralized frameworks for record-keeping and credentialing. This book delves into how blockchain and AI can drive a more inclusive, efficient, and secure educational ecosystem, where student-centered approaches and data integrity are paramount. This book is organized into several sections, each exploring the distinct roles of blockchain and AI within education. It begins with an introduction to the fundamental principles of these technologies and an overview of their individual strengths. Deep Learning is a specialized area within Machine Learning that specifically concentrates on training neural networks with numerous layers, sometimes known as deep architectures. The term “deep” in Deep Learning does not imply a higher level of comprehension obtained by the approach. Instead, it signifies the concept of multiple layers of representations. Its models contain numerous hidden layers stacked between the input and output. Each layer transforms the data, extracting increasingly abstract features through intricate non-linear operations. This layered architecture empowers Deep Learning to uncover complex relationships within data, especially when dealing with large datasets and intricate patterns.

Название: Floating Point Numerics for Games and Simulations
Автор: Nima Badizadegan
Издательство: CRC Press
Год: 2025
Страниц: 213
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Floating point is ubiquitous in computers, where it is the default way to represent non-integer numbers. However, few people understand it. We all see weird behavior sometimes, and many programmers treat it as a mystical and imprecise system of math that just works until it sometimes doesn’t. We hear that we shouldn’t trust floating point with money, we know that 0.1 + 0.2 does not equal 0.3, and “NaN” shows up in our logs when things break. We rarely hear why any of this is the case, and less about what to do about it. This book pulls back the veil on floating point and shows how this number system we program with every day works. It discusses how to leverage the number system for common calculations, particularly in graphics and simulations, and avoid pitfalls. Further, we will review methods that can give you either better performance or better accuracy on tasks like numerical integration and function approximation, so you can learn to make the right tradeoffs in your programs.

Название: C++ Low Latency: Multithreading and Hotpath Optimizations
Автор: David Spuler
Издательство: Aussie AI Labs Pty Ltd
Год: 2025
Страниц: 362
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Run faster! This book is about speeding up C++ for low latency programming in multithreaded environments and sequential code in C++ backends. Low latency programming is coding an algorithm so that it completes the task in the fastest time. In many cases, this is effectively the “user response time” or the “round-trip time” for a computation. The main uses of low latency programming include: • AI kernels — latency is the time between submitting a query, and starting to get the answer back; • Embedded devices — the system must respond quickly, in real time (e.g., autonomous self-driving cars are a large embedded device); • High-Frequency Trading (HFT) — latency is the time it takes to submit, execute, and complete a trade; • Game engines — latency is ensuring that the characters or environment moves fast enough to be responsive to user inputs and to keep up with the frame rate. Game engines have historically been written in C++, at least for all the low-level stuff dealing with frame rates and 3D animation. Similarly, high-frequency trading is usually running in C++ at the bottom level. You can also use C, which is the longstanding precursor to C++. The C programming language is obviously fast, as that was its key design point. C is not necessarily any faster than C++, so if you used only a C-like subset of C++, the two would be the same speed.