Proceedings Of 17th International Conference On Machine Learning And Computing
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Proceedings Of 17th International Conference On Machine Learning And Computing
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Author : Lin Huang
language : en
Publisher: Springer
Release Date : 2025-07-18
Proceedings Of 17th International Conference On Machine Learning And Computing written by Lin Huang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-18 with Computers categories.
This book comprises original and peer reviewed research papers presented at 2025 17th International Conference on Machine Learning and Computing that was held in Guangzhou, China, from February 14 to 17, 2025. The focus of the conference is to establish an effective platform for institutions and industries to share ideas and to present the works of scientists, engineers, educators and students from all over the world. Topics discussed in this volume include Machine Learning Theory and Algorithms, High-performance Computing Models and Data Processing, Large-scale Language Models and Natural Language Processing, Data-oriented Information System Optimization and Intelligent Computing, AI-based Intelligent Control Systems and System Security, etc. The book will become a valuable resource for academics, industry professionals, and engineers working in the related fields of machine learning and computing.
Proceedings Of 17th International Conference On Machine Learning And Computing
DOWNLOAD
Author : Lin Huang
language : en
Publisher: Springer
Release Date : 2025-07-18
Proceedings Of 17th International Conference On Machine Learning And Computing written by Lin Huang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-18 with Computers categories.
This book comprises original and peer reviewed research papers presented at 2025 17th International Conference on Machine Learning and Computing that was held in Guangzhou, China, from February 14 to 17, 2025. The focus of the conference is to establish an effective platform for institutions and industries to share ideas and to present the works of scientists, engineers, educators and students from all over the world. Topics discussed in this volume include Machine Learning Theory and Algorithms, High-performance Computing Models and Data Processing, Large-scale Language Models and Natural Language Processing, Data-oriented Information System Optimization and Intelligent Computing, AI-based Intelligent Control Systems and System Security, etc. The book will become a valuable resource for academics, industry professionals, and engineers working in the related fields of machine learning and computing.
Crypto And Ai
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Author : Behrouz Zolfaghari
language : en
Publisher: Springer Nature
Release Date : 2023-11-14
Crypto And Ai written by Behrouz Zolfaghari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-14 with Computers categories.
This book studies the intersection between cryptography and AI, highlighting the significant cross-impact and potential between the two technologies. The authors first study the individual ecosystems of cryptography and AI to show the omnipresence of each technology in the ecosystem of the other one. Next, they show how these technologies have come together in collaborative or adversarial ways. In the next section, the authors highlight the coevolution being formed between cryptography and AI. Throughout the book, the authors use evidence from state-of-the-art research to look ahead at the future of the crypto-AI dichotomy. The authors explain how they anticipate that quantum computing will join the dichotomy in near future, augmenting it to a trichotomy. They verify this through two case studies highlighting another scenario wherein crypto, AI and quantum converge. The authors study current trends in chaotic image encryption as well as information-theoretic cryptography and show how these trends lean towards quantum-inspired artificial intelligence (QiAI). After concluding the discussions, the authors suggest future research for interested researchers.
Proceedings Of International Conference On Recent Innovations In Computing
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Author : Yashwant Singh
language : en
Publisher: Springer Nature
Release Date : 2024-07-12
Proceedings Of International Conference On Recent Innovations In Computing written by Yashwant Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-12 with Computers categories.
This book features selected papers presented at the 6th International Conference on Recent Innovations in Computing (ICRIC 2023), held on 26–27 October 2023 at the Central University of Jammu, India, and organized by the university’s Department of Computer Science and Information Technology. The book is divided into two volumes, and it includes the latest research in the areas of software engineering, cloud computing, computer networks and Internet technologies, artificial intelligence, information security, database and distributed computing, and digital India.
Artificial Intelligence For Advanced Problem Solving Techniques
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Author : Vlahavas, Ioannis
language : en
Publisher: IGI Global
Release Date : 2008-01-31
Artificial Intelligence For Advanced Problem Solving Techniques written by Vlahavas, Ioannis and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-31 with Education categories.
One of the most important functions of artificial intelligence, automated problem solving, consists mainly of the development of software systems designed to find solutions to problems. These systems utilize a search space and algorithms in order to reach a solution. Artificial Intelligence for Advanced Problem Solving Techniques offers scholars and practitioners cutting-edge research on algorithms and techniques such as search, domain independent heuristics, scheduling, constraint satisfaction, optimization, configuration, and planning, and highlights the relationship between the search categories and the various ways a specific application can be modeled and solved using advanced problem solving techniques.
Hardware Accelerator Systems For Artificial Intelligence And Machine Learning
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Author :
language : en
Publisher: Academic Press
Release Date : 2021-03-28
Hardware Accelerator Systems For Artificial Intelligence And Machine Learning written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-28 with Mathematics categories.
Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into artificial Intelligence and the growth it has seen with the advent of Deep Neural Networks (DNNs) and Machine Learning. Updates in this release include chapters on Hardware accelerator systems for artificial intelligence and machine learning, Introduction to Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Deep Learning with GPUs, Edge Computing Optimization of Deep Learning Models for Specialized Tensor Processing Architectures, Architecture of NPU for DNN, Hardware Architecture for Convolutional Neural Network for Image Processing, FPGA based Neural Network Accelerators, and much more. - Updates on new information on the architecture of GPU, NPU and DNN - Discusses In-memory computing, Machine intelligence and Quantum computing - Includes sections on Hardware Accelerator Systems to improve processing efficiency and performance
Nuclear Power
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Author : Pavel Tsvetkov
language : en
Publisher: BoD – Books on Demand
Release Date : 2011-09-26
Nuclear Power written by Pavel Tsvetkov and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-26 with Technology & Engineering categories.
Advances in reactor designs, materials and human-machine interfaces guarantee safety and reliability of emerging reactor technologies, eliminating possibilities for high-consequence human errors as those which have occurred in the past. New instrumentation and control technologies based in digital systems, novel sensors and measurement approaches facilitate safety, reliability and economic competitiveness of nuclear power options. Autonomous operation scenarios are becoming increasingly popular to consider for small modular systems. This book belongs to a series of books on nuclear power published by InTech. It consists of four major sections and contains twenty-one chapters on topics from key subject areas pertinent to instrumentation and control, operation reliability, system aging and human-machine interfaces. The book targets a broad potential readership group - students, researchers and specialists in the field - who are interested in learning about nuclear power.
Emerging Trends In Cloud Computing Analytics Scalability And Service Models
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Author : Darwish, Dina
language : en
Publisher: IGI Global
Release Date : 2024-01-25
Emerging Trends In Cloud Computing Analytics Scalability And Service Models written by Darwish, Dina and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-25 with Computers categories.
Academic scholars and industry professionals alike face the formidable challenge of staying informed about emerging trends and innovations in cloud computing. The expansive realm of cloud technology has been the catalyst for several transformative changes across industries, offering unparalleled opportunities for optimization and innovation. However, even seasoned experts may find themselves daunted by the intricate web of new technologies, including green cloud computing, edge computing, cryptography in the cloud, load balancing strategies, and cloud analytics insights. Emerging Trends in Cloud Computing: Analytics, Scalability, and Service Models provides academic scholars and industry professionals with a comprehensive exploration of these critical cloud computing topics and more. This invaluable resource provides clarity and insight, serving as a guiding beacon in the ever-evolving world of cloud technology. Whether you're seeking to understand the intricacies of cloud security solutions, the nuances of scalability in cloud computing, or the various service models in the cloud, this book empowers you to navigate this dynamic field with confidence and expertise.
Machine Learning Techniques For Assistive Robotics
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Author : Miguel Angel Cazorla Quevedo
language : en
Publisher: MDPI
Release Date : 2020-12-10
Machine Learning Techniques For Assistive Robotics written by Miguel Angel Cazorla Quevedo and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-10 with Technology & Engineering categories.
Assistive robots are categorized as robots that share their area of work and interact with humans. Their main goals are to help, assist, and monitor humans, especially people with disabilities. To achieve these goals, it is necessary that these robots possess a series of characteristics, namely the abilities to perceive their environment from their sensors and act consequently, to interact with people in a multimodal manner, and to navigate and make decisions autonomously. This complexity demands computationally expensive algorithms to be performed in real time. The advent of high-end embedded processors has enabled several such algorithms to be processed concurrently and in real time. All these capabilities involve, to a greater or less extent, the use of machine learning techniques. In particular, in the last few years, new deep learning techniques have enabled a very important qualitative leap in different problems related to perception, navigation, and human understanding. In this Special Issue, several works are presented involving the use of machine learning techniques for assistive technologies, in particular for assistive robots.
Artificial Intelligence Applications To Smart City And Smart Enterprise
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Author : Donato Impedovo
language : en
Publisher: MDPI
Release Date : 2020-11-23
Artificial Intelligence Applications To Smart City And Smart Enterprise written by Donato Impedovo and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-23 with Technology & Engineering categories.
Smart cities operate under more resource-efficient management and economy than ordinary cities. As such, advanced business models have emerged around smart cities, which led to the creation of smart enterprises and organizations that depend on advanced technologies. This book includes 21 selected and peer-reviewed articles contributed in the wide spectrum of artificial intelligence applications to smart cities. Chapters refer to the following areas of interest: vehicular traffic prediction, social big data analysis, smart city management, driving and routing, localization, safety, health, and life quality.