الصفحة 14
الصفحة 14
Product Development within Artificial Intelligence, Ethics and Legal Risk : Exemplary for Safe Autonomous Vehicles
This book synthesizes a supportive developer checklist considering sustainable Team and agile Project Management in the challenge of Artificial Intelligence and limits of image recognition. The study bases on technical, ethical, and legal requirements with examples concerning autonomous vehicles. As the first of its kind, it analyzes all reported car accidents state wide (1.28 million) over a 10-year period. Integrating of highly sensitive international court rulings and growing consumer expectations make this book a helpful guide for product and team development from initial concept until market launch.
Processing : Creative Coding and Computational Art
Written especially for artists, designers, and other creative professionals and students exploring code art, graphics programming, and computational aesthetics. The book provides a solid and comprehensive foundation in programming, including object-oriented principles, and introduces you to the easy-to-grasp Processing language, so no previous coding experience is necessary. The book then goes through using Processing to code lines, curves, shapes, and motion, continuing to the point where you'll have mastered Processing and can really start to unleash your creativity with realistic physics, interactivity, and 3D! In the final chapter, you'll even learn how to extend your Processing skills by working directly with the powerful Java programming languagethe language Processing itself is built with.
Process planning and scheduling for distributed manufacturing
Process Planning and Scheduling for Distributed Manufacturing focuses on emerging technologies for distributed intelligent decision-making in process planning and dynamic scheduling. As a collection of chapters on state-of-the-art researches in this area, this book presents a review of several key research areas in process planning and scheduling (e.g., adaptive process planning, dynamic scheduling, and process planning and scheduling integration), and provides an in-depth treatment of particular techniques, from function block enabled process planning to agent-based resource scheduling. Each chapter addresses a specific problem domain and offers practical solutions to solve the problem.
Proceedings of the IFIP Tc 11 23rd international information security conference ; IFIP 20th World Computer Congress, IFIP SEC’08, September 7-10, 2008, Milano, Italy
The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The scope of the series includes: foundations of computer science; software theory and practice; education; computer applications in technology; communication systems; systems modeling and optimization; information systems; computers and society; computer systems technology; security and protection in information processing systems; artificial intelligence; and human-computer interaction. Proceedings and post-proceedings of refereed international conferences in computer science and interdisciplinary fields are featured. These results often precede journal publication and represent the most current research.
Probing Experience : From Assessment of User Emotions and Behaviour to Development of Products
Adheres to the vision that in the future compelling user experiences will be key differentiating benefits of products and services. Evaluating the user experience plays a central role, not only during the design process,but also during regular usage: for instance a video recorder that recommends TV programs that fit your current mood, a product that measures your current level of relaxation and produces advice on how to balance your life, or a module that alerts a factory operator when he is getting drowsy.
Probabilistic Conditional Independence Structures
Conditional independence is a topic that lies between statistics and artificial intelligence. Probabilistic Conditional Independence Structures provides the mathematical description of probabilistic conditional independence structures; the author uses non-graphical methods of their description, and takes an algebraic approach. The monograph presents the methods of structural imsets and supermodular functions, and deals with independence implication and equivalence of structural imsets. Motivation, mathematical foundations and areas of application are included, and a rough overview of graphical methods is also given. In particular, the author has been careful to use suitable terminology, and presents the work so that it will be understood by both statisticians, and by researchers in artificial intelligence. The necessary elementary mathematical notions are recalled in an appendix. Probabilistic Conditional Independence Structures will be a valuable new addition to the literature, and will interest applied mathematicians, statisticians, informaticians, computer scientists and probabilists with an interest in artificial intelligence. The book may also interest pure mathematicians as open problems are included.
Principles of Security and Trust ; 8th International Conference, POST 2019, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2019, Prague, Czech Republic, April 6–11, 2019, Proceedings
This book presented in this volume were carefully reviewed and selected from 27 submissions. They deal with theoretical and foundational aspects of security and trust, including on new theoretical results, practical applications of existing foundational ideas, and innovative approaches stimulated by pressing practical problems.
Principles of Distributed Systems ; Vol. 4305 ; 10th International Conference, OPODIS 2006, Bordeaux, France, December 12-15, 2006, Proceedings
This book constitutes the refereed proceedings of the 10th International Conference on Principles of Distributed Systems, OPODIS 2006, held at Bordeaux, France, in December 2006.
Principles of Distributed Systems ; 12th International Conference, OPODIS 2008, Luxor, Egypt, December 15-18, 2008. Proceedings
The 30 full papers and 11 short papers presented were carefully reviewed and selected from 102 submissions. The conference focused on the following topics: communication and synchronization protocols; distributed algorithms and multiprocessor algorithms; distributed cooperative computing; embedded systems; fault-tolerance, reliability and availability; grid and cluster computing; location- and context-aware systems; mobile agents and autonomous robots; mobile computing and networks; peer-to-peer systems and overlay networks; complexity and lower bounds; performance analysis of distributed systems; real-time systems; security issues in distributed computing and systems; sensor networks; specification and verification of distributed systems; and testing and experimentation with distributed systems.
Principles of Data Mining
This book explains and explores the principal techniques of Data Mining: for classification, generation of association rules and clustering. It is written for readers without a strong background in mathematics or statistics and focuses on detailed examples & explanations of the algorithms given.
Principles and Practice of Constraint Programming ; 14th International Conference, CP 2008, Sydney, Australia, September 14-18, 2008. Proceedings
This book constitutes the refereed proceedings of the 14th International Conference on Principles and Practice of Constraint Programming, CP 2008, Sydney, Australia, September, 2008.The 27 revised full papers and 23 revised short papers presented together with 6 application papers and the abstracts of one invited lecture were carefully reviewed and selected from 120 submissions. All current issues of computing with constraints are addressed, ranging from methodological and foundational aspects - using algorithms, environments, languages, models and systems - to solving real-world problems in various application fields.
PRICAI 2008 : Trends in Artificial Intelligence ; 10th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, December 15-19, 2008. Proceedings
Constitutes the refereed proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2008, held in Hanoi, Vietnam, in December 2008.The 49 revised long papers, 33 revised regular papers, and 32 poster papers presented together with 1 keynote talk and 3 invited lectures were carefully reviewed and selected from 234 submissions. The papers address all current issues of modern AI research with topics such as AI foundations, knowledge representation, knowledge acquisition and ontologies, evolutionary computation, etc. as well as various exciting and innovative applications of AI to many different areas. Particular importance is attached to the areas of machine learning and data mining.
PRICAI 2006 : Trends in Artificial Intelligence ; 9th Pacific Rim International Conference on Artificial Intelligence, Guilin, China, August 7-11, 2006, Proceedings
Constitutes the refereed proceedings of the 9th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2006, held in Guilin, China in August 2006. The book presents 81 revised full papers and 87 revised short papers together with 3 keynote talks.
Precision Assembly Technologies for Mini and Micro Products ; Proceedings of the IFIP TC5 WG5.5 Third International Precision Assembly Seminar (IPAS'2006), 19-21 February 2006, Bad Hofgastein, Austria
The scope of the series includes: foundations of computer science; software theory and practice; education; computer applications in technology; communication systems; systems modeling and optimization; information systems; computers and society; computer systems technology; security and protection in information processing systems; artificial intelligence; and human-computer interaction.
Practical Machine Learning for Streaming Data with Python : Design, Develop, and Validate Online Learning Models
A quick start guide for data scientists and machine learning engineers looking to implement machine learning models for streaming data with Python to generate real-time insights. You'll start with an introduction to streaming data, the various challenges associated with it, some of its real-world business applications, and various windowing techniques. You'll then examine incremental and online learning algorithms, and the concept of model evaluation with streaming data and get introduced to the Scikit-Multiflow framework in Python. This is followed by a review of the various change detection/concept drift detection algorithms and the implementation of various datasets using Scikit-Multiflow. Introduction to the various supervised and unsupervised algorithms for streaming data, and their implementation on various datasets using Python are also covered. You will: Understand machine learning with streaming data concepts / Review incremental and online learning / Develop models for detecting concept drift / Explore techniques for classification, regression, and ensemble learning in streaming data contexts / Apply best practices for debugging and validating machine learning models in streaming data context / Get introduced to other open-source frameworks for handling streaming data.
Practical explainable AI using Python : Artificial intelligence model explanations using Python-based libraries, extensions, and frameworks
Learn the ins and outs of decisions, biases, and reliability of AI algorithms and how to make sense of these predictions. This book explores the so-called black-box models to boost the adaptability, interpretability, and explainability of the decisions made by AI algorithms using frameworks such as Python XAI libraries, TensorFlow 2.0+, Keras, and custom frameworks using Python wrappers. You will: Review the different ways of making an AI model interpretable and explainable/ Examine the biasness and good ethical practices of AI models / Quantify, visualize, and estimate reliability of AI models / Design frameworks to unbox the black-box models / Assess the fairness of AI models / Understand the building blocks of trust in AI models / Increase the level of AI adoption
Practical Aspects of Knowledge Management ; 7th International Conference, PAKM 2008, Yokohama, Japan, November 22-23, 2008. Proceedings
This book constitutes the refereed proceedings of the 7th International Conference on Practical Aspects of Knowledge Management, PAKM 2008, held in Yokohama, Japan, in November 2008.The 23 revised full papers presented together with 2 invited lectures were carefully reviewed and selected from 62 submissions. All aspects of knowledge management and their role in next-generation business solutions are addressed in perspective to business and organisation sciences, cognitive science, and computer science. The papers are organized in topical sections on knowledge sharing, collaboration platforms, content-oriented retrieval, knowledge acquisition, knowledge management solutions, knowledge mining from data, text and the Web, ontology, and knowledge utilization.
Policies and Research in Identity Management ; 1st IFIP WG11.6 Working Conference on Policies and Research in Identity Management (IDMAN'07), RSM Erasmus University, Rotterdam, The Netherlands, October 11-12, 2007
The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The scope of the series includes: foundations of computer science; software theory and practice; education; computer applications in technology; communication systems; systems modeling and optimization; information systems; computers and society; computer systems technology; security and protection in information processing systems; artificial intelligence; and human-computer interaction. Proceedings and post-proceedings of refereed international conferences in computer science and interdisciplinary fields are featured. These results often precede journal publication and represent the most current research.
Playing smart : On games, intelligence, and artificial intelligence
Explores the connections between games and intelligence to offer a new vision of future games and game design. Video games already depend on AI. We use games to test AI algorithms, challenge our thinking, and better understand both natural and artificial intelligence. In the future, Togelius argues, game designers will be able to create smarter games that make us smarter in turn, applying advanced AI to help design games. In this book, he tells us how.0Games are the past, present, and future of artificial intelligence. In 1948, Alan Turing, one of the founding fathers of computer science and artificial intelligence, handwrote a program for chess.
Player creation system (PCS)
Human simulation in a virtual environment has been the focus of many studies in recent years. Achieving such a task would open up limitless possibilities, it can, for example, benefit many aspects of life such as educational and medical purposes. This project aims to train Artificial Intelligence (AI) models to accurately synthesize a human’s voice, reconstruct their body and facial features as well as teaching an AI agent how to walk. This report documents the aspects. regarding the voice cloning aspect, our goal is to synthesize human’s voice using a short audio recording of that human, which is achieved through a pipeline consisting of three neural networks, voice encoder neural network, synthesis neural network, vocoder neural network.
