The Artificial Intelligence Infrastructure Workshop

Author : Chinmay Arankalle,Gareth Dwyer,Bas Geerdink,Kunal Gera,Kevin Liao,Anand N.S.
Publisher : Packt Publishing Ltd
Page : 731 pages
File Size : 45,7 Mb
Release : 2020-08-17
Category : Computers
ISBN : 9781800206991

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The Artificial Intelligence Infrastructure Workshop by Chinmay Arankalle,Gareth Dwyer,Bas Geerdink,Kunal Gera,Kevin Liao,Anand N.S. Pdf

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.

Author : Lyu, Kangjuan,Hu, Min,Du, Juan,Sugumaran, Vijayan
Publisher : IGI Global
Page : 353 pages
File Size : 45,7 Mb
Release : 2020-09-04
Category : Computers
ISBN : 9781799850250

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AI-Based Services for Smart Cities and Urban Infrastructure by Lyu, Kangjuan,Hu, Min,Du, Juan,Sugumaran, Vijayan Pdf

Cities are the next frontier for artificial intelligence to permeate. As smart urban environments become possible, probable, and even preferred, artificial intelligence offers the chance for even further advancement through infrastructure and industry boosting. Opportunity overflows, but without thorough research to guide a complicated development and implementation process, urban environments can become disorganized and outright dangerous for citizens. AI-Based Services for Smart Cities and Urban Infrastructure is a collection of innovative research that explores artificial intelligence (AI) applications in urban planning. In addition, the book looks at how the internet of things and AI can work together to enable a real smart city and discusses state-of-the-art techniques in urban infrastructure design, construction, operation, maintenance, and management. While highlighting a broad range of topics including construction management, public transportation, and smart agriculture, this book is ideally designed for engineers, entrepreneurs, urban planners, architects, policymakers, researchers, academicians, and students.

Author : Joos Korstanje
Publisher : Packt Publishing Ltd
Page : 258 pages
File Size : 41,8 Mb
Release : 2022-07-15
Category : Computers
ISBN : 9781803242637

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Machine Learning for Streaming Data with Python by Joos Korstanje Pdf

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.

Author : Anthony So,William So,Zsolt Nagy
Publisher : Unknown
Page : 420 pages
File Size : 43,9 Mb
Release : 2020-07-20
Category : Computers
ISBN : 1800205813

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The Applied Artificial Intelligence Workshop by Anthony So,William So,Zsolt Nagy Pdf

Author : Ilias Maglogiannis,John Macintyre,Lazaros Iliadis
Publisher : Springer Nature
Page : 507 pages
File Size : 50,5 Mb
Release : 2021-06-26
Category : Computers
ISBN : 9783030791575

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Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops by Ilias Maglogiannis,John Macintyre,Lazaros Iliadis Pdf

This book constitutes the refereed proceedings of six International Workshops held as parallel events of the 17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021, virtually and in Hersonissos, Crete, Greece, in June 2021: the 6th Workshop on 5G-Putting Intelligence to the Network Edge, 5G-PINE 2021; Artificial Intelligence in Biomedical Engineering and Informatics Workshop, AI-BIO 2021; Workshop on Defense Applications of AI, DAAI 2021; Distributed AI for Resource-Constrained Platforms Workshop, DARE 2021; Energy Efficiency and Artificial Intelligence Workshop, EEAI 2021; and the 10th Mining Humanistic Data Workshop, MHDW 2021. The 24 full papers and 16 short papers presented at these workshops were carefully reviewed and selected from 72 submissions. The papers presented at 5G-PINE focus on the latest AI applications in the telecommunication industry and AI in modern 5G-oriented telecommunications infrastructures. The papers chosen for AI-BIO 2021 present research on the subject of AI, in its broadest sense, in biomedical engineering and health informatics. The DAAI 2021 papers aim at presenting recent evolutions in artificial intelligence applicable to defense and security applications. The papers selected for DARE 2021 address a variety of pertinent and challenging topics within the scope of distributed AI for resource-constrained platforms. The papers presented at EEAI 2021 aim to bring together interdisciplinary approaches that focus on the application of AI-driven solutions for increasing and improving energy efficiency of residential and tertiary buildings and of occupant behavior. The MHDW papers focus on topics such as recommendation systems, sentiment analysis, pattern recognition, data mining, and time series.

Author : Tom Wagner,Omer F. Rana
Publisher : Springer
Page : 314 pages
File Size : 52,7 Mb
Release : 2003-08-06
Category : Computers
ISBN : 9783540477723

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Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems by Tom Wagner,Omer F. Rana Pdf

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.

Author : Ilias Maglogiannis,Lazaros Iliadis,John Macintyre,Paulo Cortez
Publisher : Springer Nature
Page : 471 pages
File Size : 45,8 Mb
Release : 2022-06-16
Category : Computers
ISBN : 9783031083419

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Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops by Ilias Maglogiannis,Lazaros Iliadis,John Macintyre,Paulo Cortez Pdf

This book constitutes the refereed proceedings of five International Workshops held as parallel events of the 18th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2022, virtually and in Hersonissos, Crete, Greece, in June 2022: the 11th Mining Humanistic Data Workshop (MHDW 2022); the 7th 5G-Putting Intelligence to the Network Edge Workshop (5G-PINE 2022); the 1st workshop on AI in Energy, Building and Micro-Grids (AIBMG 2022); the 1st Workshop/Special Session on Machine Learning and Big Data in Health Care (ML@HC 2022); and the 2nd Workshop on Artificial Intelligence in Biomedical Engineering and Informatics (AIBEI 2022). The 35 full papers presented at these workshops were carefully reviewed and selected from 74 submissions.

Author : Ilias Maglogiannis,Lazaros Iliadis,Elias Pimenidis
Publisher : Springer Nature
Page : 264 pages
File Size : 48,5 Mb
Release : 2020-05-29
Category : Computers
ISBN : 9783030491901

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Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops by Ilias Maglogiannis,Lazaros Iliadis,Elias Pimenidis Pdf

This book constitutes the refereed proceedings of two International Workshops held as parallel events of the 16th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2020, in Neos Marmaras, Greece, in June 2020: the 9th Mining Humanistic Data Workshop, MHDW 2020, and the 5th Workshop on 5G-Putting Intelligence to the Network Edge, 5G-PINE 2020.* The 6 full papers and 3 short papers presented at MHDW 2020 were carefully reviewed and selected from 16 submissions; out of the 23 papers submitted to 5G-PINE 2020, 11 were accepted as full papers and 1 as a short paper. The MHDW papers focus on topics such as recommendation systems, sentiment analysis, pattern recognition, data mining, and time series. The papers presented at 5G-PINE focus on the latest AI applications in the telecommunication industry and deal with topics such as the Internet of Things, intelligence fusion in 5G networks, and 5G media. *The workshops were held virtually due to the COVID-19 pandemic.

Author : Krishna Sankar,Jeffrey Jackovich,Ruze Richards
Publisher : Packt Publishing Ltd
Page : 383 pages
File Size : 43,9 Mb
Release : 2020-07-27
Category : Computers
ISBN : 9781800205680

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The Applied AI and Natural Language Processing Workshop by Krishna Sankar,Jeffrey Jackovich,Ruze Richards Pdf

With the help of engaging activities, learn how to leverage Amazon Web Services for building serverless intelligent applications that can process information in no time Key FeaturesLearn how to integrate Amazon's Simple Storage Services with AI and NLP projectsGet to grips with serverless computing and its applicationsCreate intelligent applications such as chatbots and image recognition modelsBook Description Are you fascinated with applications like Alexa and Siri and how they accurately process information within seconds before returning accurate results? Are you looking for a practical guide that will teach you how to build intelligent applications that can revolutionize the world of artificial intelligence? The Applied AI and NLP Workshop will take you on a practical journey where you will learn how to build artificial intelligence (AI) and natural language processing (NLP) applications with Amazon Web services (AWS). Starting with an introduction to AI and machine learning, this book will explain how Amazon S3, or Amazon Simple Storage Service, works. You'll then integrate AI with AWS to build serverless services and use Amazon's NLP service Comprehend to perform text analysis on a document. As you advance, the book will help you get to grips with topic modeling to extract and analyze common themes on a set of documents with unknown topics. You'll also work with Amazon Lex to create and customize a chatbot for task automation and use Amazon Rekognition for detecting objects, scenes, and text in images. By the end of The Applied AI and NLP Workshop, you'll be equipped with the knowledge and skills needed to build scalable intelligent applications with AWS. What you will learnGrasp the fundamentals of AI, ML, and AWSExplore the AWS command line, its interface, and its applicationsImport and export data to Amazon S3Perform topic modeling on a set of documents to analyze common themesDevelop a custom chatbot to get the latest stock market quotesCreate a personal call center and connect it to the chatbotWho this book is for If you are a machine learning enthusiast, data scientist, or programmer who wants to explore AWS's artificial intelligence and machine learning capabilities, this book is for you. Although not necessary, a basic understanding of AI and NLP will assist with grasping key topics quickly.

Author : National Academies of Sciences Engineering and Medicine,Division on Engineering and Physical Sciences,National Materials and Manufacturing Board
Publisher : Unknown
Page : 128 pages
File Size : 53,6 Mb
Release : 2021-09-12
Category : Electronic
ISBN : 030966408X

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Data Analytics and What It Means to the Materials Community by National Academies of Sciences Engineering and Medicine,Division on Engineering and Physical Sciences,National Materials and Manufacturing Board Pdf

Emerging techniques in data analytics, including machine learning and artificial intelligence, offer exciting opportunities for advancing scientific discovery and innovation in materials science. Vast repositories of experimental data and sophisticated simulations are being utilized to predict material properties, design and test new compositions, and accelerate nearly every facet of traditional materials science. How can the materials science community take advantage of these opportunities while avoiding potential pitfalls? What roadblocks may impede progress in the coming years, and how might they be addressed? To explore these issues, the Workshop on Data Analytics and What It Means to the Materials Community was organized as part of a workshop series on Defense Materials, Manufacturing, and Its Infrastructure. Hosted by the National Academies of Sciences, Engineering, and Medicine, the 2-day workshop was organized around three main topics: materials design, data curation, and emerging applications. Speakers identified promising data analytics tools and their achievements to date, as well as key challenges related to dealing with sparse data and filling data gaps; decisions around data storage, retention, and sharing; and the need to access, combine, and use data from disparate sources. Participants discussed the complementary roles of simulation and experimentation and explored the many opportunities for data informatics to increase the efficiency of materials discovery, design, and testing by reducing the amount of experimentation required. With an eye toward the ultimate goal of enabling applications, attendees considered how to ensure that the benefits of data analytics tools carry through the entire materials development process, from exploration to validation, manufacturing, and use. This publication summarizes the presentations and discussion of the workshop.

Author : Ilias Maglogiannis,Lazaros Iliadis,Antonios Papaleonidas,Ioannis Chochliouros
Publisher : Springer Nature
Page : 490 pages
File Size : 49,7 Mb
Release : 2023-06-01
Category : Computers
ISBN : 9783031341717

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Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops by Ilias Maglogiannis,Lazaros Iliadis,Antonios Papaleonidas,Ioannis Chochliouros Pdf

This book constitutes the refereed proceedings of four International Workshops, held as parallel events of the 19th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2023, held in León, Spain, during June 14–17, 2023: the 12th Workshop on Mining Humanistic Data (MHDW 2023); the 8th Workshop on “5G–Putting Intelligence to the Network Edge (5G-PINE 2023); the second Workshop on AI in Energy, Buildings and Micro-Grids Workshop (ΑΙBMG 2023); and the First Workshop on Visual Analytics Approaches for Complex Problems in Engineering and Biomedicine" (VAA-CP-EB 2023). This event was held in hybrid mode. The 37 regular papers presented at these workshops were carefully reviewed and selected from 86 submissions.

Author : Lazaros Iliadis,Ilias Maglogiannis,Vassilis Plagianakos
Publisher : Springer
Page : 276 pages
File Size : 44,5 Mb
Release : 2018-05-21
Category : Computers
ISBN : 9783319920160

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Artificial Intelligence Applications and Innovations by Lazaros Iliadis,Ilias Maglogiannis,Vassilis Plagianakos Pdf

This book constitutes the refereed proceedings of 4 workshops held at the 14th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2018, held in Rhodes, Greece, in May 2018. The workshops were the Workshop on Semantics in the Deep: Semantic Analytics for Big Data, SEDSEAL 2018; the Third Workshop on 5G - Putting Intelligence to the Network Edge, 5G-PINE 2018; the 7th Mining Humanistic Data Workshop, MHDW 2018; and the Workshop on Intelligent Cloud and IOT Paradigms in EHealth, HEALTHIOT 2018. The 19 full papers and 5 short papers presented were carefully reviewed and selected from a total of 53 submissions: SEDSEAL accepted 2 full papers out of 5 submissions, 5G-PINE 6 full and one short paper out of 24, MHDW 7 full and 4 short papers out of 15, and HEALTHIOT 4 full papers out of 9. The papers cover topics such as AI in 5G and telecommunications, AI and e-health services, AI in 5G networks, incremental learning, clustering, AI in text mining, visual data analytics, AI in molecular biology, DNA, RNA, proteins, big data analytics, Internet of Things and recommender systems, and AI in biomedical applications.

Author : Miltiadis D. Lytras,Ambjorn Naeve
Publisher : IGI Global
Page : 432 pages
File Size : 44,8 Mb
Release : 2006-01-01
Category : Business & Economics
ISBN : 9781591405054

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Intelligent Learning Infrastructure for Knowledge Intensive Organizations by Miltiadis D. Lytras,Ambjorn Naeve Pdf

Discusses the convergence of knowledge and learning management and provides state-of-the art knowledge with a semantic web perspective.

Author : National Research Council,Division on Engineering and Physical Sciences,Commission on Engineering and Technical Systems,Committee for an Infrastructure Technology Research Agenda
Publisher : National Academies Press
Page : 144 pages
File Size : 49,9 Mb
Release : 1994-02-01
Category : Transportation
ISBN : 9780309051446

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Toward Infrastructure Improvement by National Research Council,Division on Engineering and Physical Sciences,Commission on Engineering and Technical Systems,Committee for an Infrastructure Technology Research Agenda Pdf

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.

Author : Zhishen Wu,Xilin Lu,Mohammad Noori
Publisher : CRC Press
Page : 197 pages
File Size : 43,8 Mb
Release : 2020-04-28
Category : Technology & Engineering
ISBN : 9781000057966

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Resilience of Critical Infrastructure Systems by Zhishen Wu,Xilin Lu,Mohammad Noori Pdf

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.