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.

Название: Python Experiments in Physics and Astronomy
Автор: Padraig Houlahan
Издательство: CRC Press
Год: 2025
Страниц: 200
Язык: английский
Формат: epub (true)
Размер: 52.1 MB

Python Experiments in Physics and Astronomy acts as a resource for science and engineering students or faculty who would like to see how a diverse selection of topics can be analyzed and simulated using Python programs. The book also provides Python solutions that can be learned from and modified as needed. The book is mainly aimed at undergraduates, but since many science students and faculty have limited exposure to scientific programming, having a collection of examples that address curve-fitting, Fast Fourier Transforms, image photometry and image alignment, and many others could be very helpful not just for learning from, but also to support classroom projects and demonstrations. The code examples were written in Python, and use popular supporting libraries such as Matplotlib, Pandas, Numpy, Math, Itertools, and Scikit.

Название: Debugging and Testing from Scratch: A Practical Guide with Examples
Автор: William E. Clark
Издательство: Nobtrex L.L.C.
Год: 2025
Страниц: 265
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

"Debugging and Testing from Scratch: A Practical Guide with Examples" is an indispensable resource designed to equip software developers with the essential tools and techniques needed to produce high-quality, reliable software. This comprehensive guide delivers in-depth coverage of foundational concepts, from understanding software errors to effectively setting up testing environments. Each chapter is meticulously crafted to build upon the previous one, ensuring that readers gain a holistic understanding of debugging and testing methodologies crucial for the software development lifecycle.Structured to benefit both novices and seasoned professionals, the book delves deeply into practical aspects of debugging, such as using breakpoints, logging, and instrumentation to diagnose issues effectively. Readers will explore advanced topics like memory diagnostics, concurrency debugging, and the integration of automated testing into CI/CD pipelines. With a dedicated focus on real-world applications, it provides actionable strategies for designing test cases, organizing test suites, and executing security testing, ensuring comprehensive software evaluation and enhancement.

Название: 1400 задач по программированию
Автор: Златопольский Д. М.
Издательство: ДМК Пресс
Год: 2020
Cтраниц: 192
Формат: pdf (ocr) / djvu
Размер: 13 мб
Язык: русский

Овладеть искусством программирования невозможно без решения задач разного типа и уровня сложности. В данной книге читатель найдет более 1400 задач, охватывающих широкий круг тем: вычисления по формулам, обработка данных во время ввода, использование массивов и многие другие. Задачи не привязаны к конкретному языку программирования и могут быть решены в программе на любом языке – Pascal, Python, С, школьном алгоритмическом языке и др.