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Start your reading journey today on DL4ALL.org and unlock a world of imagination, knowledge, and inspiration! ![]() Accelerating Graph Algorithms English | 2026 | ISBN: 9819557461 | 166 Pages | PDF EPUB (True) | 12 MB Graph processing, especially the processing of large-scale graphs with the number of vertices and edges in the order of billions or even hundreds of billions, has attracted much attention in both industry and academia. However, it remains a great challenge to process such large-scale graphs on memory limited accelerators. This book tries to introduce some recent techniques to unleash the power of parallel computing by using recent hardware accelerators like GPU/FPGA. ![]() AbstractSwarm Multi-Agent Modeling and Simulation: 20 Years of Logistics with Agents and Stations English | 2026 | ISBN: 9819591317 | 88 Pages | PDF EPUB (True) | 7 MB This book brings together the content that has been created over the past years in the context of AbstractSwarm. AbstractSwarm is a Multi-Agent Modeling and Simulation System for Logistics (and similar) scenarios. The main idea of the system is the strict separation of the scenario modeling ("what to do") and the agent behavior ("how to do it"). This results in a system where agents can in principle be put into arbitrary scenarios for improving the underlying processes. As a consequence, generic agent implementations are needed to cooperate in different kinds of scenarios. This small book is planned on the occasion of the 20th anniversary of AbstractSwarm for 2026 by the organization committee of the AbstractSwarm Multi-Agent Logistics Competition. ![]() Ab-initio Assisted Petrology English | 2026 | ISBN: 3032256577 | 209 Pages | PDF (True) | 13 MB This book provides a promotional exercise to foster the application of quantum mechanics to petrology. It addresses long-standing discrepancies in high-pressure melting data and provides a full appraisal of anharmonicity, essential for computing heat capacities, Gibbs free energy, and energy landscapes. Unlike empirical models, quantum-mechanical simulations deliver first-principles accuracy for complex systems, from pure oxides to quaternary compositions, using advanced mathematical tools like Delaunay Fragmentation and Convex Hull Analysis. ![]() AWS Certified Machine Learning Engineer Study Guide: Associate (MLA-C01) Exam English | 2025 | ISBN: 1394319959 | 438 Pages | PDF | 8 MB In AWS Certified Machine Learning Engineer Study Guide: Associate (MLA-C01) Exam, veteran AWS Practice Director at Trace3-a leading IT consultancy offering AI, data, cloud and cybersecurity solutions for clients across industries-Dario Cabianca delivers a practical and up-to-date roadmap to preparing for the MLA-C01 exam. You'll learn the skills you need to succeed on the exam as well as those you need to hit the ground running at your first AI-related tech job. ![]() AI-Powered Language Teaching English | 2026 | ISBN: 1009650793 | 70 Pages | PDF (True) | 3.2 MB This Element explores the concepts, benefits, and limitations of the use of AI in language learning, teaching, and assessment. It also looks at AI tools for language teaching and language teachers' roles and competencies required for AI-powered language teaching. In addition, it offers practical ideas for AI-powered language teaching and presents AI-powered language teaching activities based on an AI literacy framework, which highlights using AI creatively, critically, effectively, efficiently, and ethically. The Element examines challenges in AI-powered language teaching and provides teachers with actionable guidelines to overcome the challenges. It guides language teachers and teacher educators on how to develop AI competencies, how to select AI tools, and how to integrate the tools successfully into their teaching practices. ![]() AI-Driven Threat Intelligence Frameworks: Revolutionizing Enterprise Cybersecurity English | 2026 | ASIN: B0H43ZY9K1 | 343 Pages | PDF EPUB (True) | 12 MB AI-Driven Threat Intelligence Frameworks: Revolutionising Enterprise Cybersecurity explores the growing role of artificial intelligence in enhancing cybersecurity across modern enterprise systems. The book focuses on intelligent, adaptive, and proactive threat detection frameworks designed to address complex and evolving cyber threats while ensuring ethical compliance and resilient digital infrastructures. ![]() AI-Driven Revolution: Transforming the Business Landscape English | 2026 | ISBN: 1800616562 | 424 Pages | EPUB (True) | 7 MB In an era where digital transformation is no longer a choice but a necessity, AI-Driven Revolution: Transforming the Digital Landscape serves as a comprehensive guide for business leaders, entrepreneurs, and technology enthusiasts, as well as academics and students eager to harness the power of artificial intelligence (AI). This book delves into the profound impact AI is having on businesses and knowledge professions across various industries and fields, providing case studies and suggesting a roadmap for successfully integrating AI into organizational strategies and operations. Readers will find practical advice on developing AI strategies, selecting the right technologies, and aligning AI initiatives with business goals whilst maintaining a discussion on the ethical implications of AI, including data privacy, algorithmic bias, and compliance with regulations, ensuring responsible and sustainable AI practices. ![]() AI-Driven Industry Transformation: Using emerging technologies including IoT in businesses English | 2026 | ISBN: 937854083X | 329 Pages | EPUB (True) | 19 MB With technology changing rapidly and businesses becoming more competitive, adopting the latest technology is no longer just a desire; it has become essential for businesses. Technology is helping organizations not only reinvent and redefine themselves but also create new business models that were previously not possible. ![]() AI-Assisted Statistics for Data Scientists: 50+ Essential Concepts Using R and Python English | 2026 | ASIN: B0GK713BRM | 606 Pages | EPUB | 9 MB Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The third edition of this popular guide expands its practical foundations in R and Python into the modern AI toolkit, with new chapters on neural networks, deep learning, and large language models. Generative AI is integrated throughout, showing how tools such as ChatGPT, Claude, and Gemini work, and how they can support real-world statistical workflows. ![]() AI and Wind Power 2: Advancing Sustainability, Grid Integration, and Future Frameworks English | 2026 | ISBN: 1836691424 | 358 Pages | EPUB (True) | 7 MB AI and Wind Power 2 examines how artificial intelligence (AI) is enabling this critical transition. Moving beyond turbine-level optimization, this book explores AI-driven architectures for hybrid renewable energy systems that unite wind with solar, hydro and storage. It presents advanced frameworks for smart grid management, dynamic balancing of variable resources and real-time sustainability optimization. Dedicated chapters address the economic and market impacts of AI in wind power, its role in shaping policy and regulatory frameworks, emerging applications in offshore wind, generative AI for system design and consumption behavior analysis. |