Leveraging artificial intelligence in engineering, management, and safety of infrastructure, Johansson, Tanja (university Of The Arts Helsinki, Finland) Jyrama, Annukka (university Of Aalto, Finland) Kiitsak-prikk, Kaari (estonian Academy Of M
Описание: A revolutionary approach to making better-looking, better-tasting drinks.
Автор: Peter Norvig Название: Paradigms of Artificial Intelligence Programming, ISBN: 1558601910 ISBN-13(EAN): 9781558601918 Издательство: Elsevier Science Рейтинг: Цена: 9599.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Paradigms of AI Programming teaches advanced Common Lisp techniques in the context of building major AI systems.
Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. These models will be used to study how the nervous system and musculoskeletal system obey movement orders from the brain, as well as the mental processes of the information during cognition when injuries and neurologic diseases are present in the human body.
The interaction between these three areas are studied in this book with the objective of obtaining AI models on injuries and neurologic diseases of the human body, studying diseases of the brain, spine and the nerves that connect them with the musculoskeletal system. There are more than 600 diseases of the nervous system, including brain tumors, epilepsy, Parkinson's disease, stroke, and many others. These diseases affect the human cognitive system that sends orders from the central nervous system (CNS) through the peripheral nervous systems (PNS) to do tasks using the musculoskeletal system. These actions can be detected by many Bioinstruments (Biomedical Instruments) and cognitive device data, allowing us to apply AI using Machine Learning-Deep Learning-Cognitive Computing models through algorithms to analyze, detect, classify, and forecast the process of various illnesses, diseases, and injuries of the human body.
Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models provides readers with the study of injuries, illness, and neurological diseases of the human body through Artificial Intelligence using Machine Learning (ML), Deep Learning (DL) and Cognitive Computing (CC) models based on algorithms developed with MATLAB(R) and IBM Watson(R).
Описание: This unique book showcases the applications of various sub-fields of artificial intelligence (AI) in engineering, management and safety aspects of infrastructure.
Автор: Johansson, Tanja (university Of The Arts Helsinki, Finland) Jyrama, Annukka (university Of Aalto, Finland) Kiitsak-prikk, Kaari (estonian Academy Of M Название: Leveraging artificial intelligence in engineering, management, and safety of infrastructure ISBN: 036749793X ISBN-13(EAN): 9780367497934 Издательство: Taylor&Francis Рейтинг: Цена: 19906.00 р. Наличие на складе: Поставка под заказ.
Описание: The Beginner’s Guide to Opera Stage Management is the first book to cover theatrical stage management practices specifically for opera productions, providing an invaluable step-by-step guide.Beginning with a brief history of opera and detailing its difference from musical theatre, the book covers stage management best practices through prep, rehearsals, tech, performance, and wrap up. From the moment a manager accepts a contract, right through to archiving paperwork, this essential toolkit covers each step of a stage manager’s journey. Working with a score, reading music, working with singers, conductors, and musicians, basic duties of a stage manager versus an assistant stage manager, and other tasks specific to opera are also included in this comprehensive guide. This book is full of tips and tricks, as well as the good, bad, and ugly stories from opera stage managers, sharing both their experiences and mistakes.This is the perfect how-to book for the professional or emerging stage manager looking to work in opera, or to expand their existing stage management skillset.
The best source for cutting-edge insights into AI in healthcare operations
AI in Healthcare: How Artificial Intelligence Is Changing IT Operations and Infrastructure Services collects, organizes and provides the latest, most up-to-date research on the emerging technology of artificial intelligence as it is applied to healthcare operations.
Written by a world-leading technology executive specializing in healthcare IT, this book provides concrete examples and practical advice on how to deploy artificial intelligence solutions in your healthcare environment. AI in Healthcare reveals to readers how they can take advantage of connecting real-time event correlation and response automation to minimize IT disruptions in critical healthcare IT functions.
This book provides in-depth coverage of all the most important and central topics in the healthcare applications of artificial intelligence, including:
Healthcare IT
AI Clinical Operations
AI Operational Infrastructure
Project Planning
Metrics, Reporting, and Service Performance
AIOps in Automation
AIOps Cloud Operations
Future of AI
Written in an accessible and straightforward style, this book will be invaluable to IT managers, administrators, and engineers in healthcare settings, as well as anyone with an interest or stake in healthcare technology.
Описание: 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.
Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy.
In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering.
This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source.
Описание: With this practical book, author Lomit Patel shows you how to use AI and automation to provide an operational layer atop those acquisition solutions to deliver amazing results for your company.
Автор: Gruenwald, Le Название: Leveraging Artificial Intelligence In Global Epidemics ISBN: 0323897770 ISBN-13(EAN): 9780323897778 Издательство: Elsevier Science Рейтинг: Цена: 22065.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Leveraging Artificial Intelligence in Global Epidemics provides readers with a detailed technical description of the role Artificial Intelligence plays in various stages of a disease outbreak, using COVID-19 as a case study. In the fight against epidemics, medical staff are on the front line; but behind the lines the battle is fought by researchers, and data scientists. Artificial Intelligence has been helping researchers with computer modeling and simulation for predictions about disease progression, the overall economic situation, tax incomes and population development. In the same manner, AI can prepare researchers for any emergency situation by backing the medical science. Artificial Intelligence plays a key and cutting-edge role in the preparedness for and dealing with the outbreak of global epidemics. It can help researchers analyze global data about known viruses to predict the patterns of the next pandemic and the impacts it will have. Not only prediction, AI plays an increasingly important role in assessing readiness, early detection, identification of patients, generating recommendations, situation awareness and more. It is up to the right input and the innovative ways by humans to leverage what AI can do. As COVID-19 has grabbed the world and its economy today, an analysis of the COVID-19 outbreak and the global responses and analytics will pay a long way in preparing humanity for such future situations.
Learn how to create your own AI model and consume it in your Power BI reports to gain better insights from your data
Key Features:
Learn how to gain better insights from your data by applying different AI techniques within Power BI
Save time by creating machine learning models independently and integrating them within your BI reports
Understand how to combine Cognitive Services and Azure Machine Learning together with Power BI
Book Description:
The artificial intelligence (AI) capabilities in Power BI enable organizations to quickly and easily gain more intelligent insights from unstructured and structured data.
This book will teach you how to make use of the many AI features available today in Power BI to quickly and easily enrich your data and gain better insights into patterns that can be found in your data.
You'll begin by understanding the benefits of AI and how it can be used in Power BI. Next, you'll focus on exploring and preparing your data for building AI projects and then progress to using prominent AI features already available in Power BI, such as forecasting, anomaly detection, and Q&A. Later chapters will show you how to apply text analytics and computer vision within Power BI reports. This will help you create your own Q&A functionality in Power BI, which allows you to ask FAQs from another knowledge base and then integrate it with PowerApps. Toward the concluding chapters, you'll be able to create and deploy AutoML models trained in Azure ML and consume them in Power Query Editor. After your models have been trained, you'll work through principles such as privacy, fairness, and transparency to use AI responsibly.
By the end of this book, you'll have learned when and how to enrich your data with AI using the out-of-the-box AI capabilities in Power BI.
What You Will Learn:
Apply techniques to mitigate bias and handle outliers in your data
Prepare time series data for forecasting in Power BI
Prepare and shape your data for anomaly detection
Use text analytics in Power Query Editor
Integrate QnA Maker with PowerApps and create an app
Train your own models and identify the best one with AutoML
Integrate an Azure ML workspace with Power BI and use endpoints to generate predictions
Who this book is for:
This artificial intelligence BI book is for data analysts and BI developers who want to explore advanced analytics or artificial intelligence possibilities with their data. Prior knowledge of Power BI will help you get the most out of this book.
Автор: Jeremy Knox; Yuchen Wang; Michael Gallagher Название: Artificial Intelligence and Inclusive Education ISBN: 9811381607 ISBN-13(EAN): 9789811381607 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book brings together the fields of artificial intelligence (often known as A.I.) and inclusive education in order to speculate on the future of teaching and learning in increasingly diverse social, cultural, emotional, and linguistic educational contexts. This book addresses a pressing need to understand how future educational practices can promote equity and equality, while at the same time adopting A.I. systems that are oriented towards automation, standardisation and efficiency. The contributions in this edited volume appeal to scholars and students with an interest in forming a critical understanding of the development of A.I. for education, as well as an interest in how the processes of inclusive education might be shaped by future technologies. Grounded in theoretical engagement, establishing key challenges for future practice, and outlining the latest research, this book offers a comprehensive overview of the complex issues arising from the convergence of A.I. technologies and the necessity of developing inclusive teaching and learning.
To date, there has been little in the way of direct association between research and practice in these domains: A.I. has been a predominantly technical field of research and development, and while intelligent computer systems and ‘smart’ software are being increasingly applied in many areas of industry, economics, social life, and education itself, a specific engagement with the agenda of inclusion appears lacking. Although such technology offers exciting possibilities for education, including software that is designed to ‘personalise’ learning or adapt to learner behaviours, these developments are accompanied by growing concerns about the in-built biases involved in machine learning techniques driven by ‘big data’.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
