7 New AI Optimization Books Reshaping Industry in 2025

This isn't another AI optimization book promising quick fixes; instead, Pethuru Raj Chelliah and his co-authors take you deep into federated learning, a frontier in AI model engineering. You'll explore how to optimize AI models across cloud and edge environments, gaining clear insights into frameworks like PySyft and TensorFlow Federated. The book breaks down complex topics such as data confidentiality and model compression, helping you understand why federated learning is key to managing distributed AI challenges. If you work with AI deployment in edge or hybrid setups, this detailed exploration will sharpen your approach without unnecessary hype.

Drawing from over thirty years of marketing expertise, Emanuel Rose reexamines how AI reshapes search engine strategies beyond traditional SEO. This book teaches you how to optimize content specifically for AI-driven engines, emphasizing a shift from keywords to content that resonates with both algorithms and human audiences. With chapters on harnessing new technologies and real-world marketing campaigns, it equips digital marketers, content creators, and business owners to navigate this evolving landscape. If you want to stay competitive as AI redefines search visibility, this book offers a grounded approach without overstating its reach.

This tailored book explores the rapidly evolving landscape of AI optimization in 2025, focusing on the latest breakthroughs and emerging trends that shape the field. It reveals how recent discoveries in model efficiency, adaptive learning, and novel algorithmic approaches are transforming AI capabilities. By concentrating on your specific interests and background, the content offers a targeted examination of contemporary techniques and their practical implications. Through this personalized approach, the book enables you to engage deeply with cutting-edge developments and understand their relevance to your unique goals in AI optimization.

Unlike most AI optimization books that focus narrowly on algorithms, this volume explores how soft computing techniques specifically transform civil engineering challenges. Gebrail Bekdaş and Sinan Melih Nigdeli draw from their extensive academic work to examine metaheuristic algorithms inspired by nature, applied to complex multi-constraint and multi-objective problems. You gain insight into how these AI-driven methods enhance design precision and computational efficiency, particularly in iterative control systems and differential equation solving. Chapters detail applications across civil engineering disciplines, making it a practical resource if you're an engineering student or professional seeking to leverage AI for safer, cost-effective, and environmentally conscious designs.

Dr. Alaa Khamis brings his extensive expertise as an AI leader at General Motors and university lecturer to this detailed exploration of optimization algorithms. You’ll gain hands-on knowledge of a broad spectrum of AI-driven techniques, from graph search to evolutionary computing, all grounded in real-world applications like pricing strategies and smart mobility challenges. The book’s approachable style avoids heavy math, instead using case studies and Python libraries to help you understand and implement these algorithms effectively. If you have intermediate Python and machine learning skills, this book will deepen your ability to tackle complex design, planning, and control problems with AI.

Engr Martin Mbamalu brings his deep expertise in renewable energy and AI applications to this focused examination of optimizing solar, biogas, and wind power generation. You’ll explore how AI-based resource assessment, predictive maintenance, and digital twin technologies reshape energy management, with practical frameworks for real-time system optimization. The book delves into advanced MPPT algorithms and hybrid system integration, equipping you with concrete methods to boost efficiency across multiple renewable sources. It’s tailored for engineers, researchers, and decision-makers ready to adopt AI tools for sustainable energy solutions, though those seeking a high-level overview might find its technical depth demanding.

This tailored book explores the cutting-edge landscape of AI optimization as it unfolds in 2025, focusing on building and refining AI models that will shape tomorrow’s technology. It examines recent discoveries and emerging trends in model development, performance tuning, and scalability, all aligned with your unique interests and background. By honing in on the areas that matter most to you, this personalized guide reveals how to stay ahead in a rapidly evolving field. Through a hands-on approach, it covers both foundational concepts and advanced innovations, making the learning experience deeply relevant and engaging.

Georges HATHRY draws from his extensive experience in artificial intelligence and logistics to explore how AI is reshaping load optimization in this concise volume. You’ll gain insights into leveraging AI for route planning, inventory management, and truck load efficiency, supported by practical case studies that illustrate tangible business benefits. The book breaks down complex AI applications into actionable knowledge for supply chain leaders and logistics professionals eager to enhance operational efficiency. If you’re involved in managing or optimizing logistics processes, this book offers a focused look at integrating emerging technologies to stay competitive in a fast-evolving landscape.

Drawing from his extensive academic background and research in computer science and engineering, U Vignesh brings a focused examination of AI and blockchain applications in aerospace engineering. This book walks you through how machine learning transforms tasks like flight scheduling and air traffic analysis, while blockchain's role in securing data integrity is thoroughly unpacked. Chapters detail the challenges of integrating these technologies, including security concerns, and propose innovative solutions tailored for aerospace systems. If you're involved in aerospace tech development or research, you'll find concrete insights on improving operational efficiency and resilience.