The Artificial Intelligence Infrastructure Workshop

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The Artificial Intelligence Infrastructure Workshop

Author : Chinmay Arankalle
Publisher : Packt Publishing Ltd
ISBN 13 : 1800206992
Total Pages : 731 pages
Book Rating : 4.8/5 (2 download)

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Book Synopsis The Artificial Intelligence Infrastructure Workshop by : Chinmay Arankalle

Download or read book The Artificial Intelligence Infrastructure Workshop written by Chinmay Arankalle and published by Packt Publishing Ltd. This book was released on 2020-08-17 with total page 731 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

AI-Based Services for Smart Cities and Urban Infrastructure

Author : Lyu, Kangjuan
Publisher : IGI Global
ISBN 13 : 1799850250
Total Pages : 353 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis AI-Based Services for Smart Cities and Urban Infrastructure by : Lyu, Kangjuan

Download or read book AI-Based Services for Smart Cities and Urban Infrastructure written by Lyu, Kangjuan and published by IGI Global. This book was released on 2020-09-04 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Applied Artificial Intelligence Workshop

Author : Anthony So
Publisher :
ISBN 13 : 9781800205819
Total Pages : 420 pages
Book Rating : 4.2/5 (58 download)

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Book Synopsis The Applied Artificial Intelligence Workshop by : Anthony So

Download or read book The Applied Artificial Intelligence Workshop written by Anthony So and published by . This book was released on 2020-07-20 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence, Co-Creation and Creativity

Author : Francisco Tigre Moura
Publisher : Taylor & Francis
ISBN 13 : 1040112544
Total Pages : 255 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Artificial Intelligence, Co-Creation and Creativity by : Francisco Tigre Moura

Download or read book Artificial Intelligence, Co-Creation and Creativity written by Francisco Tigre Moura and published by Taylor & Francis. This book was released on 2024-08-01 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Materials Discovery and Design

Author : Turab Lookman
Publisher : Springer
ISBN 13 : 3319994654
Total Pages : 256 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Materials Discovery and Design by : Turab Lookman

Download or read book Materials Discovery and Design written by Turab Lookman and published by Springer. This book was released on 2018-09-22 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the current status, challenges and future directions of data-driven materials discovery and design. It presents the analysis and learning from data as a key theme in many science and cyber related applications. The challenging open questions as well as future directions in the application of data science to materials problems are sketched. Computational and experimental facilities today generate vast amounts of data at an unprecedented rate. The book gives guidance to discover new knowledge that enables materials innovation to address grand challenges in energy, environment and security, the clearer link needed between the data from these facilities and the theory and underlying science. The role of inference and optimization methods in distilling the data and constraining predictions using insights and results from theory is key to achieving the desired goals of real time analysis and feedback. Thus, the importance of this book lies in emphasizing that the full value of knowledge driven discovery using data can only be realized by integrating statistical and information sciences with materials science, which is increasingly dependent on high throughput and large scale computational and experimental data gathering efforts. This is especially the case as we enter a new era of big data in materials science with the planning of future experimental facilities such as the Linac Coherent Light Source at Stanford (LCLS-II), the European X-ray Free Electron Laser (EXFEL) and MaRIE (Matter Radiation in Extremes), the signature concept facility from Los Alamos National Laboratory. These facilities are expected to generate hundreds of terabytes to several petabytes of in situ spatially and temporally resolved data per sample. The questions that then arise include how we can learn from the data to accelerate the processing and analysis of reconstructed microstructure, rapidly map spatially resolved properties from high throughput data, devise diagnostics for pattern detection, and guide experiments towards desired targeted properties. The authors are an interdisciplinary group of leading experts who bring the excitement of the nascent and rapidly emerging field of materials informatics to the reader.

Machine Learning for Streaming Data with Python

Author : Joos Korstanje
Publisher : Packt Publishing Ltd
ISBN 13 : 1803242639
Total Pages : 258 pages
Book Rating : 4.8/5 (32 download)

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Book Synopsis Machine Learning for Streaming Data with Python by : Joos Korstanje

Download or read book Machine Learning for Streaming Data with Python written by Joos Korstanje and published by Packt Publishing Ltd. This book was released on 2022-07-15 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases

Author : Tung-Hung Su
Publisher : Elsevier
ISBN 13 : 0323993761
Total Pages : 352 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases by : Tung-Hung Su

Download or read book Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases written by Tung-Hung Su and published by Elsevier. This book was released on 2023-08-20 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine and Liver Diseases: Concept, Technology, Application, and Perspectives combines four major applications of artificial intelligence (AI) within the field of clinical medicine specific to liver diseases: radiology imaging, electronic health records, pathology, and multiomics. The book provides a state-of-the-art summary of AI in precision medicine in hepatology, clarifying the concept and technology of AI and pointing to the current and future applications of AI within the field of hepatology. Coverage includes data preparation, methodology and application within disease-specific cases in fibrosis, viral and steatohepatitis, cirrhosis, hepatocellular carcinoma, acute liver failure, liver transplantation, and more. The ethical and legal issues of AI and future challenges and perspectives are also discussed. By highlighting many new AI applications which can further research, diagnosis, and treatment, this reference is the perfect resource for both practicing hepatologists and researchers focused on AI applications in medicine. Introduces the concept of AI and machine learning of precision medicine in the field of hepatology Discusses current challenges of AI in healthcare and proposes future tasks for AI in new workflows of healthcare Provides real-world applications from domain experts in clinical medicine

Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops

Author : Ilias Maglogiannis
Publisher : Springer Nature
ISBN 13 : 3030491900
Total Pages : 264 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops by : Ilias Maglogiannis

Download or read book Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops written by Ilias Maglogiannis and published by Springer Nature. This book was released on 2020-05-29 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops

Author : Ilias Maglogiannis
Publisher : Springer Nature
ISBN 13 : 3030791572
Total Pages : 507 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops by : Ilias Maglogiannis

Download or read book Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops written by Ilias Maglogiannis and published by Springer Nature. This book was released on 2021-06-26 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Robotics and AI for Cybersecurity and Critical Infrastructure in Smart Cities

Author : Nadia Nedjah
Publisher : Springer Nature
ISBN 13 : 3030967379
Total Pages : 267 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Robotics and AI for Cybersecurity and Critical Infrastructure in Smart Cities by : Nadia Nedjah

Download or read book Robotics and AI for Cybersecurity and Critical Infrastructure in Smart Cities written by Nadia Nedjah and published by Springer Nature. This book was released on 2022-03-28 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book bridges principles and real-world applications, while also providing thorough theory and technology for the development of artificial intelligence and robots. A lack of cross-pollination between AI and robotics research has led to a lack of progress in both fields. Now that both technologies have made significant strides, there is increased interest in combining the two domains in order to create a new integrated AI and robotics trend. In order to achieve wiser urbanization and more sustainable development, AI in smart cities will play a significant part in equipping the cities with advanced features that will allow residents to safely move about, stroll, shop, and enjoy a more comfortable way of life. If you are a student, researcher, engineer, or professional working in this field, or if you are just curious in the newest advancements in robotics and artificial intelligence for cybersecurity, this book is for you!

Data Analytics and What It Means to the Materials Community

Author : National Academies of Sciences Engineering and Medicine
Publisher :
ISBN 13 : 9780309664080
Total Pages : pages
Book Rating : 4.6/5 (64 download)

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Book Synopsis Data Analytics and What It Means to the Materials Community by : National Academies of Sciences Engineering and Medicine

Download or read book Data Analytics and What It Means to the Materials Community written by National Academies of Sciences Engineering and Medicine and published by . This book was released on 2021-09-12 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems

Author : Tom Wagner
Publisher : Springer
ISBN 13 : 3540477721
Total Pages : 320 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems by : Tom Wagner

Download or read book Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems written by Tom Wagner and published by Springer. This book was released on 2003-08-06 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops

Author : Ilias Maglogiannis
Publisher : Springer Nature
ISBN 13 : 3031341716
Total Pages : 490 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops by : Ilias Maglogiannis

Download or read book Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops written by Ilias Maglogiannis and published by Springer Nature. This book was released on 2023-06-01 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Applied Public Key Infrastructure

Author : Jianying Zhou
Publisher : IOS Press
ISBN 13 : 1586035509
Total Pages : 276 pages
Book Rating : 4.5/5 (86 download)

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Book Synopsis Applied Public Key Infrastructure by : Jianying Zhou

Download or read book Applied Public Key Infrastructure written by Jianying Zhou and published by IOS Press. This book was released on 2005 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes topics such as: Public Key Infrastructure (PKI) Operation and Case Study, Non-repudiation, Authorization and Access Control, Authentication and Time-Stamping, Certificate Validation and Revocation, and Cryptographic Applications.

Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops

Author : Ilias Maglogiannis
Publisher : Springer Nature
ISBN 13 : 3031083415
Total Pages : 471 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops by : Ilias Maglogiannis

Download or read book Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops written by Ilias Maglogiannis and published by Springer Nature. This book was released on 2022-06-16 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure

Author : M.Z. Naser
Publisher : CRC Press
ISBN 13 : 1000788997
Total Pages : 459 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure by : M.Z. Naser

Download or read book Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure written by M.Z. Naser and published by CRC Press. This book was released on 2022-11-17 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: The design, construction, and upkeep of infrastructure is comprised of a multitude of dimensions spanning a highly complex paradigm of interconnected opportunities and challenges. While traditional methods fall short of adequately accounting for such complexity, artificial intelligence (AI) presents novel and out-of-the-box solutions that effectively tackle the growing demands of our infrastructure. The convergence between AI and civil engineering is an emerging frontier with tremendous potential. The book is likely to provide a boost to the state of infrastructure engineering by fostering a new look at civil engineering that capitalizes on AI as its main driver. It highlights the ongoing push to adopt and leverage AI to realize contemporary, intelligent, safe, and resilient infrastructure. The book comprises interdisciplinary and novel works from across the globe. It presents findings from innovative efforts supplemented with physical tests, numerical simulations, and case studies – all of which can be used as benchmarks to carry out future experiments and/or facilitate the development of future AI models in structural engineering, traffic engineering, construction engineering, and construction materials. The book will serve as a guide for a wide range of audiences, including senior undergraduate and graduate students, professionals, and government officials of civil, traffic, and computer engineering backgrounds, as well as for those engaged in urban planning and human sciences.

The Economics of Artificial Intelligence

Author : Ajay Agrawal
Publisher : University of Chicago Press
ISBN 13 : 0226833127
Total Pages : 172 pages
Book Rating : 4.2/5 (268 download)

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Book Synopsis The Economics of Artificial Intelligence by : Ajay Agrawal

Download or read book The Economics of Artificial Intelligence written by Ajay Agrawal and published by University of Chicago Press. This book was released on 2024-03-05 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.