The Artificial Intelligence Infrastructure Workshop
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Artificial Intelligence Infrastructure Workshop
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Author :
language : en
Publisher:
Release Date : 2020
Artificial Intelligence Infrastructure Workshop written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
The Artificial Intelligence Infrastructure Workshop
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Author : Chinmay Arankalle
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-08-17
The Artificial Intelligence Infrastructure Workshop written by Chinmay Arankalle and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-17 with Computers categories.
Explore how a data storage system works – from data ingestion to representation Key FeaturesUnderstand how artificial intelligence, machine learning, and deep learning are different from one anotherDiscover the data storage requirements of different AI apps using case studiesExplore popular data solutions such as Hadoop Distributed File System (HDFS) and Amazon Simple Storage Service (S3)Book Description Social networking sites see an average of 350 million uploads daily - a quantity impossible for humans to scan and analyze. Only AI can do this job at the required speed, and to leverage an AI application at its full potential, you need an efficient and scalable data storage pipeline. The Artificial Intelligence Infrastructure Workshop will teach you how to build and manage one. The Artificial Intelligence Infrastructure Workshop begins taking you through some real-world applications of AI. You'll explore the layers of a data lake and get to grips with security, scalability, and maintainability. With the help of hands-on exercises, you'll learn how to define the requirements for AI applications in your organization. This AI book will show you how to select a database for your system and run common queries on databases such as MySQL, MongoDB, and Cassandra. You'll also design your own AI trading system to get a feel of the pipeline-based architecture. As you learn to implement a deep Q-learning algorithm to play the CartPole game, you'll gain hands-on experience with PyTorch. Finally, you'll explore ways to run machine learning models in production as part of an AI application. By the end of the book, you'll have learned how to build and deploy your own AI software at scale, using various tools, API frameworks, and serialization methods. What you will learnGet to grips with the fundamentals of artificial intelligenceUnderstand the importance of data storage and architecture in AI applicationsBuild data storage and workflow management systems with open source toolsContainerize your AI applications with tools such as DockerDiscover commonly used data storage solutions and best practices for AI on Amazon Web Services (AWS)Use the AWS CLI and AWS SDK to perform common data tasksWho this book is for If you are looking to develop the data storage skills needed for machine learning and AI and want to learn AI best practices in data engineering, this workshop is for you. Experienced programmers can use this book to advance their career in AI. Familiarity with programming, along with knowledge of exploratory data analysis and reading and writing files using Python will help you to understand the key concepts covered.
The Artificial Intelligence Infrastructure Workshop
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Author : Chinmay Arankalle
language : en
Publisher:
Release Date : 2020-07
The Artificial Intelligence Infrastructure Workshop written by Chinmay Arankalle and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07 with Computers categories.
Starting with the fundamentals of data storage, The Artificial Intelligence Infrastructure Workshop covers the entire spectrum of tools and techniques that you must know to set up a data storage system for AI applications.
Infrastructure For Agents Multi Agent Systems And Scalable Multi Agent Systems
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Author : Tom Wagner
language : en
Publisher: Springer
Release Date : 2003-08-06
Infrastructure For Agents Multi Agent Systems And Scalable Multi Agent Systems written by Tom Wagner and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-06 with Computers categories.
Building research grade multi-agent systems usually involves a broad variety of software infrastructure ingredients like planning, scheduling, coordination, communication, transport, simulation, and module integration technologies and as such constitutes a great challenge to the individual researcher active in the area. The book presents a collection of papers on approaches that will help make deployed and large scale multi-agent systems a reality. The first part focuses on available infrastructure and requirements for constructing research-grade agents and multi-agent systems. The second part deals with support in infrastructure and software development methods for multi-agent systems that can directly support coordination and management of large multi-agent communities; performance analysis and scalability techniques are needed to promote deployment of multi-agent systems to professionals in software engineering and information technology.
Artificial Intelligence Co Creation And Creativity
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Author : Francisco Tigre Moura
language : en
Publisher: Taylor & Francis
Release Date : 2024-08-01
Artificial Intelligence Co Creation And Creativity written by Francisco Tigre Moura and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-01 with Business & Economics categories.
Artificial intelligence (AI) has deeply impacted our understanding of creativity and the human ability to generate creative outputs. New applications for creative tasks are rapidly evolving, and new tools are constantly being developed with much greater optimal capabilities. Importantly, the success of implementing such tools for creative tasks is still heavily dependent on human supervision and input. Therefore, it is vital to understand and critically reflect on the nature of co-creative processes between humans and AI. This book addresses such issues and provides insights into how humans can augment their capabilities for generating creative and innovative outputs by successfully co-creating with AI. The book is intentionally divided into three main parts to allow for a comprehensive and holistic perspective on human and AI co-creation for creative tasks. The sections are divided as follows: Part 1: “Principles of AI and Creativity”, Part 2: “Critical Issues on Artificial Co-Creation”, and Part 3: “Industry-Specific Discussions”. Consequently, the book provides a holistic insight on the topic, covering various issues and perspectives and enabling an accessible read to a broad audience. For example, chapters cover examples across different industry sectors, including music, arts, science, and management. Furthermore, the book covers critical questions involving copyrights, ethical concerns, relationship with algorithms, and context-based issues. Only by critically reflecting on the intrinsic issues of AI and learning how to work with it effectively for creative purposes will we be able to benefit from its full potential to augment human creative abilities in an appropriate manner. This novel, edited collection is an essential read for scholars working on the intersection of AI, creativity, arts, and management.
Machine Learning For Streaming Data With Python
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Author : Joos Korstanje
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-07-15
Machine Learning For Streaming Data With Python written by Joos Korstanje and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-15 with Computers categories.
Apply machine learning to streaming data with the help of practical examples, and deal with challenges that surround streaming Key Features • Work on streaming use cases that are not taught in most data science courses • Gain experience with state-of-the-art tools for streaming data • Mitigate various challenges while handling streaming data Book Description Streaming data is the new top technology to watch out for in the field of data science and machine learning. As business needs become more demanding, many use cases require real-time analysis as well as real-time machine learning. This book will help you to get up to speed with data analytics for streaming data and focus strongly on adapting machine learning and other analytics to the case of streaming data. You will first learn about the architecture for streaming and real-time machine learning. Next, you will look at the state-of-the-art frameworks for streaming data like River. Later chapters will focus on various industrial use cases for streaming data like Online Anomaly Detection and others. As you progress, you will discover various challenges and learn how to mitigate them. In addition to this, you will learn best practices that will help you use streaming data to generate real-time insights. By the end of this book, you will have gained the confidence you need to stream data in your machine learning models. What you will learn • Understand the challenges and advantages of working with streaming data • Develop real-time insights from streaming data • Understand the implementation of streaming data with various use cases to boost your knowledge • Develop a PCA alternative that can work on real-time data • Explore best practices for handling streaming data that you absolutely need to remember • Develop an API for real-time machine learning inference Who this book is for This book is for data scientists and machine learning engineers who have a background in machine learning, are practice and technology-oriented, and want to learn how to apply machine learning to streaming data through practical examples with modern technologies. Although an understanding of basic Python and machine learning concepts is a must, no prior knowledge of streaming is required.
Artificial Intelligence Applications And Innovations Aiai 2024 Ifip Wg 12 5 International Workshops
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Author : Ilias Maglogiannis
language : en
Publisher: Springer Nature
Release Date : 2024-06-22
Artificial Intelligence Applications And Innovations Aiai 2024 Ifip Wg 12 5 International Workshops written by Ilias Maglogiannis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-22 with Computers categories.
This book constitutes the refereed proceedings of three International Workshops held as parallel events of the IFIP WG 12.5 International Workshops on Artificial Intelligence Applications and Innovations, AIAI 2024, held in Corfu, Greece, during June 27-30, 2024. The 30 full papers and 4 short papers presented in this book were carefully reviewed and selected from 69 submissions. AIAI 2024 Workshop volume presents papers from the following three workshops: 13th event of the International Mining Humanistic Data Workshop (MHDW 2024) 9th 5G-PINE Workshop (5G-PINE 2024) 1st Workshop on AI Applications for Achieving the Green Deal Targets (ΑΙ4GD 2024).
Artificial Intelligence Applications And Innovations Aiai 2025 Ifip Wg 12 5 International Workshops
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Author : Antonios Papaleonidas
language : en
Publisher: Springer Nature
Release Date : 2025-06-25
Artificial Intelligence Applications And Innovations Aiai 2025 Ifip Wg 12 5 International Workshops written by Antonios Papaleonidas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-25 with Computers categories.
This 2-volume set constitutes the refereed proceedings of International Workshops, held as parallel events of the 21st IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2025, held in Limassol, Cyprus, during June 26–29, 2025. The 44 full papers and 6 short papers presented in these proceedings were carefully reviewed and selected from 117 submissions. The AIAI 2025 conference hosts several workshops that support innovative research on various specific and hot scientific domains every year. These satellite events offer a deep insight into both rapid advances and timely creative applications of AI.
Toward Infrastructure Improvement
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Author : National Research Council
language : en
Publisher: National Academies Press
Release Date : 1994-02-01
Toward Infrastructure Improvement written by National Research Council and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-02-01 with Transportation categories.
This book advises the federal government on a national infrastructure research agenda. It takes the position that the traditional disciplinary and institutional divisions among infrastructure modes and professions are largely historical artifacts that impose barriers to the development of new technology and encourages the government to embrace a more interdisciplinary approach. In order to be practical, the study focuses on infrastructure technologies that can be incorporated into or overlay current systems, allow for alternative future alternative future urban development, and are likely to have value cutting across the distinct functional modes of infrastructure. Finally, the report is organized according to seven broad cross-cutting areas that should promote interdisciplinary approaches to infrastructure problems: systems life-cycle management, analysis and decision tools, information management, condition assessment and monitoring technology, the science of materials performance and deterioration, construction equipment and procedures, and technology management.
Resilience Of Critical Infrastructure Systems
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Author : Zhishen Wu
language : en
Publisher: CRC Press
Release Date : 2020-04-28
Resilience Of Critical Infrastructure Systems written by Zhishen Wu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-28 with Technology & Engineering categories.
With rapid urbanization in developing countries and the emergence of smart systems and integrated intelligent devices, the new generation of infrastructure will be smarter and more efficient. However, due to natural and anthropomorphic hazards, as well as the adverse impact of climate change, civil infrastructure systems are increasingly vulnerable. Therefore, future-proofing and designing resilience into infrastructure is one of the biggest challenges facing the industry and governments in all developing and industrialized societies. This book provides a comprehensive overview of infrastructure resiliency, new developments in this emerging field and its scopes, including ecology and sustainability, and the challenges involved in building more resilient civil infrastructure systems. Moreover, it introduces a strategic roadmap for effective and efficient methods needed for modeling, designing, and assessing resiliency. Features: Includes contributions from internationally recognized scholars in the emerging field of infrastructure resilience. Covers a broad range of topics in infrastructure resilience such as disaster assessment, civil infrastructure and lifeline systems, natural hazard mitigation, and seismic protection. Includes practical global case studies and leading-edge research from several countries. Presents an interdisciplinary approach in addressing the challenges in the emerging field of infrastructure resilience Resilience of Critical Infrastructure Systems: Emerging Developments and Future Challenges serves as a valuable resource for practicing professionals, researchers, and advanced students seeking practical, forward-looking guidance.