Artificial Intelligence for NET Speech Language and Search

Artificial Intelligence for  NET  Speech  Language  and Search
Author: Nishith Pathak
Publsiher: Apress
Total Pages: 264
Release: 2017-08-14
ISBN: 1484229495
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence for NET Speech Language and Search Book Excerpt:

Get introduced to the world of artificial intelligence with this accessible and practical guide. Build applications that make intelligent use of language and user interaction to better compete in today’s marketplace. Discover how your application can deeply understand and interpret content on the web or a user’s machine, intelligently react to direct user interaction through speech or text, or make smart recommendations on products or services that are tailored to each individual user. With Microsoft Cognitive Services, you can do all this and more utilizing a set of easy-to-use APIs that can be consumed on the desktop, web, or mobile devices. Developers normally think of AI implementation as a tough task involving writing complex algorithms. This book aims to remove the anxiety by creating a cognitive application with a few lines of code. There is a wide range of Cognitive Services APIs available. This book focuses on some of the most useful and powerful ways that your application can make intelligent use of language. Artificial Intelligence for .NET: Speech, Language, and Search will show you how you can start building amazing capabilities into your applications today. What You'll Learn Understand the underpinnings of artificial intelligence through practical examples and scenarios Get started building an AI-based application in Visual Studio Build a text-based conversational interface for direct user interaction Use the Cognitive Services Speech API to recognize and interpret speech Look at different models of language, including natural language processing, and how to apply them in your Visual Studio application Reuse Bing search capabilities to better understand a user’s intention Work with recommendation engines and integrate them into your apps Who This Book Is For Developers working on a range of platforms, from .NET and Windows to mobile devices. Examples are given in C#. No prior experience with AI techniques or theory is required.

IoT AI and Blockchain for NET

IoT  AI  and Blockchain for  NET
Author: Nishith Pathak,Anurag Bhandari
Publsiher: Apress
Total Pages: 308
Release: 2018-08-14
ISBN: 1484237099
Category: Computers
Language: EN, FR, DE, ES & NL

IoT AI and Blockchain for NET Book Excerpt:

Create applications using Industry 4.0. Discover how artificial intelligence (AI) and machine learning (ML) capabilities can be enhanced using the Internet of things (IoT) and secured using Blockchain, so your latest app can be not just smarter but also more connected and more secure than ever before. This book covers the latest easy-to-use APIs and services from Microsoft, including Azure IoT, Cognitive Services APIs, Blockchain as a Service (BaaS), and Machine Learning Studio. As you work through the book, you’ll get hands-on experience building an example solution that uses all of these technologies—an IoT suite for a smart healthcare facility. Hosted on Azure and networked using Azure IoT, the solution includes centralized patient monitoring, using Cognitive Services APIs for face detection, recognition, and tracking. Blockchain is used to create trust-based security and inventory management. Machine learning is used to create predictive solutions to proactively improve quality of life. By the end of the book, you’ll be confident creating richer and smarter applications using these technologies. What You’ll Learn Know the technologies underpinning Industry 4.0 and AI 2.0 Develop real-time solutions using IoT in Azure Bring the smart capabilities of AI 2.0 into your application using a simple API call Host and manage your solution on Azure Understand Blockchain as a Service Capture and analyze data on the fly Make predictions using existing data Who This Book Is For Novice and intermediate .NET developers and architects who want to learn what it takes to create a modern or next-generation application

Intelligent Information and Database Systems

Intelligent Information and Database Systems
Author: Ngoc Thanh Nguyen,Kietikul Jearanaitanakij,Ali Selamat,Bogdan Trawiński,Suphamit Chittayasothorn
Publsiher: Springer Nature
Total Pages: 652
Release: 2020-03-03
ISBN: 3030419649
Category: Computers
Language: EN, FR, DE, ES & NL

Intelligent Information and Database Systems Book Excerpt:

The two-volume set LNAI 12033 and 11034 constitutes the refereed proceedings of the 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020, held in Phuket, Thailand, in March 2020. The total of 105 full papers accepted for publication in these proceedings were carefully reviewed and selected from 285 submissions. The papers of the first volume are organized in the following topical sections: Knowledge Engineering and Semantic Web, Natural Language Processing, Decision Support and Control Systems, Computer Vision Techniques, Machine Learning and Data Mining, Deep Learning Models, Advanced Data Mining Techniques and Applications, Multiple Model Approach to Machine Learning. The papers of the second volume are divided into these topical sections: Application of Intelligent Methods to Constrained Problems, Automated Reasoning with Applications in Intelligent Systems, Current Trends in Arti cial Intelligence, Optimization, Learning,and Decision-Making in Bioinformatics and Bioengineering, Computer Vision and Intelligent Systems, Data Modelling and Processing for Industry 4.0, Intelligent Applications of Internet of Things and Data AnalysisTechnologies, Intelligent and Contextual Systems, Intelligent Systems and Algorithms in Information Sciences, Intelligent Supply Chains and e-Commerce, Privacy, Security and Trust in Arti cial Intelligence, Interactive Analysis of Image, Video and Motion Data in LifeSciences.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
Author: Carlo Combi,Yuval Shahar,Ameen Abu-Hanna
Publsiher: Springer Science & Business Media
Total Pages: 439
Release: 2009-07-13
ISBN: 3642029760
Category: Medical
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Medicine Book Excerpt:

This book constitutes the refereed proceedings of the 12th Conference on Artificial Intelligence in Medicine in Europe, AIME 2009, held in Verona, Italy in July 2009. The 24 revised long papers and 36 revised short papers presented together with 2 invited talks were carefully reviewed and selected from 140 submissions. The papers are organized in topical sections on agent-based systems, temporal data mining, machine learning and knowledge discovery, text mining, natural language processing and generation, ontologies, decision support systems, applications of AI-based image processing techniques, protocols and guidelines, as well as workflow systems.

Knowledge Management and Engineering with Decisional DNA

Knowledge Management and Engineering with Decisional DNA
Author: Edward Szczerbicki,Cesar Sanin
Publsiher: Springer Nature
Total Pages: 248
Release: 2020-02-04
ISBN: 3030396010
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Knowledge Management and Engineering with Decisional DNA Book Excerpt:

This is the first book on experience-based knowledge representation and knowledge management using the unique Decisional DNA (DDNA) technology. The DDNA concept is roughly a decade old, and is rapidly attracting increasing attention and interest among researchers and practitioners. This comprehensive book provides guidelines to help readers develop experience-based tools and approaches for smart engineering of knowledge, data and information. It does not attempt to offer ultimate answers, but instead presents ideas and a number of real-world case studies to explore and exemplify the complexities and challenges of modern knowledge engineering issues. It also increases readers’ awareness of the multifaceted interdisciplinary character of such issues to enable them to consider – in different ways – developing, evaluating, and supporting smart knowledge engineering systems that use DDNA technology based on experience.

Progress in Artificial Intelligence Knowledge Extraction Multi agent Systems Logic Programming and Constraint Solving

Progress in Artificial Intelligence  Knowledge Extraction  Multi agent Systems  Logic Programming  and Constraint Solving
Author: portugal Portuguese Conference on Artificial Intelligence 2001 Porto,Portuguese Conference on Artificial Intelligence
Publsiher: Springer Science & Business Media
Total Pages: 418
Release: 2001-12-05
ISBN: 354043030X
Category: Computers
Language: EN, FR, DE, ES & NL

Progress in Artificial Intelligence Knowledge Extraction Multi agent Systems Logic Programming and Constraint Solving Book Excerpt:

This book constitutes the refereed proceedings of the 10th Portuguese Conference on Artificial Intelligence, EPTA 2001, held in Porto, Portugal, in December 2001. The 21 revised long papers and 18 revised short papers were carefully reviewed and selected from a total of 88 submissions. The papers are organized in topical sections on extraction of knowledge from databases, AI techniques for financial time series analysis, multi-agent systems, AI logics and logic programming, constraint satisfaction, and AI planning.

Progress in Artificial Intelligence Knowledge Extraction Multi agent Systems Logic Programming and Constraint Solving

Progress in Artificial Intelligence  Knowledge Extraction  Multi agent Systems  Logic Programming  and Constraint Solving
Author: Pavel Brazdil,Alipio Jorge
Publsiher: Springer
Total Pages: 424
Release: 2003-07-31
ISBN: 3540453296
Category: Computers
Language: EN, FR, DE, ES & NL

Progress in Artificial Intelligence Knowledge Extraction Multi agent Systems Logic Programming and Constraint Solving Book Excerpt:

The tenth Portuguese Conference on Arti?cial Intelligence, EPIA 2001 was held in Porto and continued the tradition of previous conferences in the series. It returned to the city in which the ?rst conference took place, about 15 years ago. The conference was organized, as usual, under the auspices of the Portuguese Association for Arti?cial Intelligence (APPIA, http://www.appia.pt). EPIA maintained its international character and continued to provide a forum for p- senting and discussing researc h on di?erent aspects of Arti?cial Intelligence. To promote motivated discussions among participants, this conference streng- ened the role of the thematic workshops. These were not just satellite events, but rather formed an integral part of the conference, with joint sessions when justi?ed. This had the advantage that the work was presented to a motivated audience. This was the ?rst time that EPIA embarked on this experience and so provided us with additional challenges.

Neural Nets WIRN VIETRI 98

Neural Nets WIRN VIETRI 98
Author: Maria Marinaro,Roberto Tagliaferri
Publsiher: Springer Science & Business Media
Total Pages: 390
Release: 2012-12-06
ISBN: 1447108116
Category: Computers
Language: EN, FR, DE, ES & NL

Neural Nets WIRN VIETRI 98 Book Excerpt:

From its early beginnings in the fifties and sixties, the field of neural networks has been steadily developing to become one of the most interdisciplinary areas of research within computer science. This volume contains selected papers from WIRN Vietri-98, the 10th Italian Workshop on Neural Nets, 21-23 May 1998, Vietri sul Mare, Salerno, Italy. This annual event, sponsored amongst others by the IEEE Neural Network Council and the INNS/SIG Italy, brings together the best of research from all over the world. The papers cover a range of key topics within neural networks, including pattern recognition, signal processing, hybrid systems, mathematical models, hardware and software design, and fuzzy techniques. It also includes two review talks on a Morpho-Functional Model to Describe Variability Found at Hippocampal Synapses and Neural Networks and Speech Processing. By providing the reader with a comprehensive overview of recent research in this area, the volume makes a valuable contribution to the Perspectives in Neural Computing Series.

Rational Machines and Artificial Intelligence

Rational Machines and Artificial Intelligence
Author: Tshilidzi Marwala
Publsiher: Academic Press
Total Pages: 270
Release: 2021-03-31
ISBN: 0128209445
Category: Science
Language: EN, FR, DE, ES & NL

Rational Machines and Artificial Intelligence Book Excerpt:

Intelligent machines are populating our social, economic and political spaces. These intelligent machines are powered by Artificial Intelligence technologies such as deep learning. They are used in decision making. One element of decision making is the issue of rationality. Regulations such as the General Data Protection Regulation (GDPR) require that decisions that are made by these intelligent machines are explainable. Rational Machines and Artificial Intelligence proposes that explainable decisions are good but the explanation must be rational to prevent these decisions from being challenged. Noted author Tshilidzi Marwala studies the concept of machine rationality and compares this to the rationality bounds prescribed by Nobel Laureate Herbert Simon and rationality bounds derived from the work of Nobel Laureates Richard Thaler and Daniel Kahneman. Rational Machines and Artificial Intelligence describes why machine rationality is flexibly bounded due to advances in technology. This effectively means that optimally designed machines are more rational than human beings. Readers will also learn whether machine rationality can be quantified and identify how this can be achieved. Furthermore, the author discusses whether machine rationality is subjective. Finally, the author examines whether a population of intelligent machines collectively make more rational decisions than individual machines. Examples in biomedical engineering, social sciences and the financial sectors are used to illustrate these concepts. Provides an introduction to the key questions and challenges surrounding Rational Machines, including, When do we rely on decisions made by intelligent machines? What do decisions made by intelligent machines mean? Are these decisions rational or fair? Can we quantify these decisions? and Is rationality subjective? Introduces for the first time the concept of rational opportunity costs and the concept of flexibly bounded rationality as a rationality of intelligent machines and the implications of these issues on the reliability of machine decisions Includes coverage of Rational Counterfactuals, group versus individual rationality, and rational markets Discusses the application of Moore’s Law and advancements in Artificial Intelligence, as well as developments in the area of data acquisition and analysis technologies and how they affect the boundaries of intelligent machine rationality

Artificial Intelligence Theory Models and Applications

Artificial Intelligence Theory  Models  and Applications
Author: P Kaliraj,T. Devi
Publsiher: CRC Press
Total Pages: 506
Release: 2021-10-21
ISBN: 1000460606
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence Theory Models and Applications Book Excerpt:

This book examines the fundamentals and technologies of Artificial Intelligence (AI) and describes their tools, challenges, and issues. It also explains relevant theory as well as industrial applications in various domains, such as healthcare, economics, education, product development, agriculture, human resource management, environmental management, and marketing. The book is a boon to students, software developers, teachers, members of boards of studies, and researchers who need a reference resource on artificial intelligence and its applications and is primarily intended for use in courses offered by higher education institutions that strive to equip their graduates with Industry 4.0 skills. FEATURES: Gender disparity in the enterprises involved in the development of AI-based software development as well as solutions to eradicate such gender bias in the AI world A general framework for AI in environmental management, smart farming, e-waste management, and smart energy optimization The potential and application of AI in medical imaging as well as the challenges of AI in precision medicine AI’s role in the diagnosis of various diseases, such as cancer and diabetes The role of machine learning models in product development and statistically monitoring product quality Machine learning to make robust and effective economic policy decisions Machine learning and data mining approaches to provide better video indexing mechanisms resulting in better searchable results ABOUT THE EDITORS: Prof. Dr. P. Kaliraj is Vice Chancellor at Bharathiar University, Coimbatore, India. Prof. Dr. T. Devi is Professor and Head of the Department of Computer Applications, Bharathiar University, Coimbatore, India.

Readings in Speech Recognition

Readings in Speech Recognition
Author: Alexander Waibel,Kai-Fu Lee
Publsiher: Morgan Kaufmann
Total Pages: 629
Release: 1990-05-15
ISBN: 9781558601246
Category: Computers
Language: EN, FR, DE, ES & NL

Readings in Speech Recognition Book Excerpt:

Speech recognition by machine : a review / D.R. Reddy -- The value of speech recognition systems / W.A. Lea -- Digital representations of speech signals / R.W. Schafer and L.R. Rabiner -- Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences / S.B. Davis and P. Mermelstein -- Vector quantization / R.M. Gray -- A joint synchrony-mean-rate model of auditory speech processing / S. Seneff -- Isolated and connected word recognition : theory and selected applications / L.R. Rabiner and S.E. Levinson -- Minimum prediction residual principle applied to speech recognition / F. Itakura -- Dynamic programming algorithm optimization for spoken word recognition / S. Hakoe and S. Chiba -- Speaker-independent recognition of isolated words using clustering techniques / L.R. Rabiner [and others]Two-level DP-matching : a dynamic programming-based pattern matching algorithm for connected word recognition / H. Sakoe -- The use of a one-stage dynamic pr ...

Machine Learning for Multimodal Interaction

Machine Learning for Multimodal Interaction
Author: Steve Renals,Samy Bengio
Publsiher: Springer Science & Business Media
Total Pages: 498
Release: 2006-02-13
ISBN: 3540325492
Category: Computers
Language: EN, FR, DE, ES & NL

Machine Learning for Multimodal Interaction Book Excerpt:

This book constitutes the thoroughly refereed post-proceedings of the Second International Workshop on Machine Learning for Multimodal Interaction held in July 2005. The 38 revised full papers presented together with two invited papers were carefully selected during two rounds of reviewing and revision. The papers are organized in topical sections on multimodal processing, HCI and applications, discourse and dialogue, emotion, visual processing, speech and audio processing, and NIST meeting recognition evaluation.

Text Speech and Dialogue

Text  Speech  and Dialogue
Author: Ivan Habernal,Vaclav Matousek
Publsiher: Springer
Total Pages: 601
Release: 2013-08-17
ISBN: 3642405851
Category: Computers
Language: EN, FR, DE, ES & NL

Text Speech and Dialogue Book Excerpt:

This book constitutes the refereed proceedings of the 16th International Conference on Text, Speech and Dialogue, TSD 2013, held in Pilsen, Czech Republic, in September 2013. The 65 papers presented together with 5 invited talks were carefully reviewed and selected from 148 submissions. The main topics of this year's conference was corpora, texts and transcription, speech analysis, recognition and synthesis, and their intertwining within NL dialogue systems. The topics also included speech recognition, corpora and language resources, speech and spoken language generation, tagging, classification and parsing of text and speech, semantic processing of text and speech, integrating applications of text and speech processing, as well as automatic dialogue systems, and multimodal techniques and modelling.

Distributed Computing and Artificial Intelligence 14th International Conference

Distributed Computing and Artificial Intelligence  14th International Conference
Author: Sigeru Omatu,Sara Rodríguez,Gabriel Villarrubia,Pedro Faria,Paweł Sitek,Javier Prieto
Publsiher: Springer
Total Pages: 344
Release: 2017-06-19
ISBN: 3319624105
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Distributed Computing and Artificial Intelligence 14th International Conference Book Excerpt:

The 14th International Symposium on Distributed Computing and Artificial Intelligence 2017 (DCAI 2017) provided a forum for presenting the application of innovative techniques to study and solve complex problems. The exchange of ideas between scientists and technicians from both the academic and industrial sector is essential to advancing the development of systems that can meet the ever-growing demands of today’s society. The book brings together past experience, current work and promising future trends in distributed computing, artificial intelligence and their applications to efficiently solve real-world problems. It combines contributions in well-established and evolving areas of research, including the content of the DCAI 17 Special Sessions, which focused on multi-disciplinary and transversal aspects, such as AI-driven methods for multimodal networks and processes modeling, and secure management towards smart buildings and smart grids. The symposium was jointly organized by the Polytechnic of Porto, the Osaka Institute of Technology and the University of Salamanca. The latest event was held in Porto, Portugal, from 21st to 23rd June 2017.

Artificial Intelligence and the Changing Nature of Corporations

Artificial Intelligence and the Changing Nature of Corporations
Author: Tankiso Moloi,Tshilidzi Marwala
Publsiher: Springer Nature
Total Pages: 118
Release: 2021-07-25
ISBN: 3030763137
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Artificial Intelligence and the Changing Nature of Corporations Book Excerpt:

This book explains how various forms of artificial intelligence, namely machine learning, natural language processing, and robotic process automation, could provide a source of competitive advantage to firms deploying them compared to those firms that would not have deployed these technologies. The advantages of machine learning, natural language processing, and robotic process automation in strategy formulation and strategy implementation are explored. The book illustrates the potential sources of advantage for the strategy formulation and strategy implementation processes, which can be derived from the deployment of each form of artificial intelligence.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
Author: Lei Xing,Maryellen L. Giger,James K. Min
Publsiher: Academic Press
Total Pages: 568
Release: 2020-09-03
ISBN: 0128212586
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Medicine Book Excerpt:

Artificial Intelligence Medicine: Technical Basis and Clinical Applications presents a comprehensive overview of the field, ranging from its history and technical foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is expanding across all domains at a breakneck speed. Medicine, with the availability of large multidimensional datasets, lends itself to strong potential advancement with the appropriate harnessing of AI. The integration of AI can occur throughout the continuum of medicine: from basic laboratory discovery to clinical application and healthcare delivery. Integrating AI within medicine has been met with both excitement and scepticism. By understanding how AI works, and developing an appreciation for both limitations and strengths, clinicians can harness its computational power to streamline workflow and improve patient care. It also provides the opportunity to improve upon research methodologies beyond what is currently available using traditional statistical approaches. On the other hand, computers scientists and data analysts can provide solutions, but often lack easy access to clinical insight that may help focus their efforts. This book provides vital background knowledge to help bring these two groups together, and to engage in more streamlined dialogue to yield productive collaborative solutions in the field of medicine. Provides history and overview of artificial intelligence, as narrated by pioneers in the field Discusses broad and deep background and updates on recent advances in both medicine and artificial intelligence that enabled the application of artificial intelligence Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

An Intuitive Exploration of Artificial Intelligence

An Intuitive Exploration of Artificial Intelligence
Author: Simant Dube
Publsiher: Springer Nature
Total Pages: 355
Release: 2021-06-21
ISBN: 3030686248
Category: Computers
Language: EN, FR, DE, ES & NL

An Intuitive Exploration of Artificial Intelligence Book Excerpt:

This book develops a conceptual understanding of Artificial Intelligence (AI), Deep Learning and Machine Learning in the truest sense of the word. It is an earnest endeavor to unravel what is happening at the algorithmic level, to grasp how applications are being built and to show the long adventurous road in the future. An Intuitive Exploration of Artificial Intelligence offers insightful details on how AI works and solves problems in computer vision, natural language understanding, speech understanding, reinforcement learning and synthesis of new content. From the classic problem of recognizing cats and dogs, to building autonomous vehicles, to translating text into another language, to automatically converting speech into text and back to speech, to generating neural art, to playing games, and the author's own experience in building solutions in industry, this book is about explaining how exactly the myriad applications of AI flow out of its immense potential. The book is intended to serve as a textbook for graduate and senior-level undergraduate courses in AI. Moreover, since the book provides a strong geometrical intuition about advanced mathematical foundations of AI, practitioners and researchers will equally benefit from the book.

The Human Computer Interaction Handbook

The Human Computer Interaction Handbook
Author: Andrew Sears,Julie A. Jacko
Publsiher: CRC Press
Total Pages: 1384
Release: 2007-09-19
ISBN: 9781410615862
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

The Human Computer Interaction Handbook Book Excerpt:

This second edition of The Human-Computer Interaction Handbook provides an updated, comprehensive overview of the most important research in the field, including insights that are directly applicable throughout the process of developing effective interactive information technologies. It features cutting-edge advances to the scientific

Artificial Intelligence in Data and Big Data Processing

Artificial Intelligence in Data and Big Data Processing
Author: Ngoc Hoang Thanh Dang
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN: 3030976106
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Data and Big Data Processing Book Excerpt:

Demand Bibliography

Demand Bibliography
Author: Anonim
Publsiher: Unknown
Total Pages: 41
Release: 1989
ISBN: 1928374650XXX
Category: Artificial intelligence
Language: EN, FR, DE, ES & NL

Demand Bibliography Book Excerpt: