Search results for "Advancing Intelligent Networks Through Distributed Optimization"
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Intelligent Distributed Computing XII
This book gathers a wealth of research contributions on recent advances in intelligent and distributed computing, and which present both architectural and algorithmic findings in these fields. A major focus is placed on new techniques and applications for evolutionary computation, swarm intelligence, multi-agent systems, multi-criteria optimization and Deep/Shallow machine learning models, all of which are approached as technological drivers to enable autonomous reasoning and decision-making in complex distributed environments. Part of the book is also devoted to new scheduling and resource allocation methods for distributed computing systems. The book represents the peer-reviewed proceedings of the 12th International Symposium on Intelligent Distributed Computing (IDC 2018), which was held in Bilbao, Spain, from October 15 to 17, 2018.
R 9,484.29
Distributed Computing and Artificial Intelligence, 19th International Conference
DCAI 2022 is a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing areas. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This year’s technical program will present both high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 61 papers were submitted, by authors from 28 different countries representing a truly “wide area network” of research activity. The DCAI’22 technical program has selected 32 full papers and, as in past editions, it will be special issues in ranked journals. This symposium is organized by the University of L'Aquila (Italy). We would like to thank all the contributing authors, the members of the Program Committee and the sponsors (IBM, Indra, Dipartimento di Ingegneria e Scienze dell'Informazione e Matematica dell'Università degli Studi dell'Aquila, Armundia Group, Whitehall Reply, T.C. Technologies And Comunication S.R.L., LCL Industria Grafica, AIR Institute, AEPIA, APPIA).
R 9,638.67
Distributed Computing and Artificial Intelligence, 21st International Conference
This book serves as a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing. This edition brings together experience, current work, and promising future trends related to distributed computing, artificial intelligence, and their applications to provide efficient solutions to real-world problems. The technical program this year is both high in quality and diverse, featuring contributions from well-established and evolving research areas. Specifically, 138 papers were submitted by authors from 43 different countries, representing a truly global network of research activity. The DCAI’24 technical program has selected 36 full papers for the main track, and as in previous editions, there will be special issues in ranked journals. This symposium is organized by the University of Salamanca (Spain). The authors would like to thank all the contributing authors, the program committee members, National Associations (AEPIA, APPIA, LASI), and the sponsors (AIR Institute).
R 7,326.00
Architecting AI Software Systems
Discover how to design intelligent software systems by balancing AI and traditional architecture. This guide offers a roadmap for robust, scalable AI-enabled systems, blending principles with practical insights.Key FeaturesLearn to integrate AI with traditional software architectures, enabling architects to design scalable, high-performance systemsExplore key tools and processes to mitigate risks in AI-driven system development, ensuring timely project delivery and budget controlGain hands-on experience through case studies and exercises, applying architectural concepts to real-world AI systemsBook DescriptionArchitecting AI Software Systems provides a definitive guide to building AI-enabled systems, emphasizing the balance between AI’s capabilities and traditional software architecture principles.As AI technologies gain widespread acceptance and are increasingly expected in future applications, this book provides architects and developers with the essential knowledge to stay competitive. It introduces a structured approach to mastering the complexities of AI integration, covering key architectural concepts and processes critical to building scalable and robust AI systems while minimizing development and maintenance risks. The book guides readers on a progressive journey, using real-world examples and hands-on exercises to deepen comprehension. It also includes the architecture of a fictional AI-enabled system as a learning tool. You will engage with exercises designed to reinforce your understanding and apply practical insights, leading to the development of key architectural products that support AI systems. This is an essential resource for architects seeking to mitigate risks and master the complexities of AI-enabled system development.By the end of the book, readers will be equipped with patterns, strategies and concepts necessary to architect AI-enabled systems across various domains.What you will learnUnderstand the challenges of building AI-enabled systems and managing risks like underperformance and cost overrunsLearn architectural tools to design and integrate AI into traditional systemsMaster AI/ML concepts like inference and decision-making and their impact on architectureUse architectural models to ensure system cohesion and functionalitySimulate and optimize AI performance through prototyping and iterationDesign scalable AI systems using patterns and heuristicsIntegrate AI into large systems with a focus on user experience and performanceWho this book is forThis book is designed mainly for software and systems architects responsible for designing and integrating AI capabilities into existing and new systems. It also serves as a valuable resource for CTOs, VPs of Engineering, and aspiring architects seeking a comprehensive understanding of the holistic approach to AI system development. Additionally, AI/ML engineers and software developers will benefit from gaining deeper insights into the architectural principles that underpin AI sy
R 1,465.00
