Ai '93 - Proceedings Of The 6th Australian Joint Conference On Artificial Intelligence


Book Description

This volume reflects the state of the art in artificial intelligence in the Australasian region. It covers machine learning, knowledge acguisition, cognitive modelling, robots and vision, natural language, automated reasoning, knowledge-based systems, neural networks and genetic algorithms, distributed AI, etc.




Fundamentals in Computer Understanding: Speech and Vision


Book Description

Man-machine communication is presently undergoing an important evolution which is influenced both by technological advances and by the progress made in various fields such as signal processing, pattern recognition and artificial intelligence. This book emphasizes relevant aspects of man-machine dialogue by voice (acoustic-phonetic decoding, multi-speaker aspects, dialogue architectures, etc.) and presents analogies with the related fields of computer vision and natural language processing. It also introduces the fundamentals of knowledge-based and expert systems which are widely used in this field. The book is the result of an interdisciplinary collaboration of international experts who worked together for an advanced course sponsored by the Commission of the European Communities and Institut National de Recherche en Informatique et en Automatique. The course was held in Paris in May 1985.




Syntactic And Structural Pattern Recognition - Theory And Applications


Book Description

This book is currently the only one on this subject containing both introductory material and advanced recent research results. It presents, at one end, fundamental concepts and notations developed in syntactic and structural pattern recognition and at the other, reports on the current state of the art with respect to both methodology and applications. In particular, it includes artificial intelligence related techniques, which are likely to become very important in future pattern recognition.The book consists of individual chapters written by different authors. The chapters are grouped into broader subject areas like “Syntactic Representation and Parsing”, “Structural Representation and Matching”, “Learning”, etc. Each chapter is a self-contained presentation of one particular topic. In order to keep the original flavor of each contribution, no efforts were undertaken to unify the different chapters with respect to notation. Naturally, the self-containedness of the individual chapters results in some redundancy. However, we believe that this handicap is compensated by the fact that each contribution can be read individually without prior study of the preceding chapters. A unification of the spectrum of material covered by the individual chapters is provided by the subject and author index included at the end of the book.




Neural Computers


Book Description

the outcome of a NATO Advanced Research Workshop (ARW) This book is held in Neuss (near Dusseldorf), Federal Republic of Germany from 28 September to 2 October, 1987. The workshop assembled some 50 invited experts from Europe, Ameri ca, and Japan representing the fields of Neuroscience, Computational Neuroscience, Cellular Automata, Artificial Intelligence, and Compu ter Design; more than 20 additional scientists from various countries attended as observers. The 50 contributions in this book cover a wide range of topics, including: Neural Network Architecture, Learning and Memory, Fault Tolerance, Pattern Recognition, and Motor Control in Brains versus Neural Computers. Twelve of these contributions are review papers. The readability of this book was enhanced by a number of measures: * The contributions are arranged in seven chapters. * A separate List of General References helps newcomers to this ra pidly growing field to find introductory books. * The Collection of References from all Contributions provides an alphabetical list of all references quoted in the individual con tributions. * Separate Reference Author and Subject Indices facilitate access to various details. Group Reports (following the seven chapters) summarize the discus sions regarding four specific topics relevant for the 'state of the art' in Neural Computers.




Fundamentals of Software Architecture


Book Description

Salary surveys worldwide regularly place software architect in the top 10 best jobs, yet no real guide exists to help developers become architects. Until now. This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks. You’ll explore software architecture in a modern light, taking into account all the innovations of the past decade. This book examines: Architecture patterns: The technical basis for many architectural decisions Components: Identification, coupling, cohesion, partitioning, and granularity Soft skills: Effective team management, meetings, negotiation, presentations, and more Modernity: Engineering practices and operational approaches that have changed radically in the past few years Architecture as an engineering discipline: Repeatable results, metrics, and concrete valuations that add rigor to software architecture




Recent Research Towards Advanced Man-Machine Interface Through Spoken Language


Book Description

The spoken language is the most important means of human information transmission. Thus, as we enter the age of the Information Society, the use of the man-machine interface through the spoken language becomes increasingly important. Due to the extent of the problems involved, however, full realization of such an interface calls for coordination of research efforts beyond the scope of a single group or institution. Thus a nationwide research project was conceived and started in 1987 as one of the first Priority Research Areas supported by the Ministry of Education, Science and Culture of Japan. The project was carried out in collaboration with over 190 researchers in Japan. The present volume begins with an overview of the project, followed by 41 papers presented at the symposia. This work is expected to serve as an important source of information on each of the nine topics adopted for intensive study under the project. This book will serve as a guideline for further work in the important scientific and technological field of spoken language processing.




Artificial Intelligence


Book Description

The rapid development of manufacturing and computer technologies has generated new problems. To solve these problems modern tools and techniques are required. Artificial Intelligence (AI) is one of the most appropriate techniques for solving complex industrial problems. This series represents and effort to desseminate valuable information on applications of AI in industry which are becoming well-utilised throughout the world. AI has been recognised in many industrial countries as a means of solving complex problems arising in modern industry. All books in this series will highlight issues that arise in the development and application of AI systems. The series is intended for production and industrial engineers, managers, system designers and programmers.




Annual Research Review


Book Description




Pattern Directed Information Analysis


Book Description




Introduction to Artificial Intelligence: Understanding the Basics: A Comprehensive Guide to Artificial Intelligence


Book Description

Definition and History of AI: Explore the origins and evolution of AI, from its humble beginnings to its current transformative impact. Types of AI: Delve into the different types of AI, from Narrow AI and General AI to the intriguing realm of Superintelligent AI. Data's Crucial Role: Understand the importance of data in AI, its various types (Structured, Unstructured, Semi-Structured), and how it drives AI innovation. Fundamentals of Machine Learning: Uncover the core concepts of machine learning, from Supervised vs. Unsupervised Learning to Reinforcement Learning and Common Algorithms. Neural Networks and Deep Learning: Learn the basics of neural networks, explore the power of deep learning, and grasp the significance of Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). Natural Language Processing (NLP): Gain insights into how AI understands language, including Sentiment Analysis, Chatbots, and Translation. Computer Vision: Discover the wonders of image recognition and object detection, along with the intricacies of Facial Recognition Technology. Robotics and Autonomous Systems: Explore AI's role in robotics, from AI-driven robots to self-driving cars and drones. Ethical Considerations: Delve into the ethical aspects of AI, addressing bias, fairness, privacy, and security concerns. Real-World Applications: Witness AI's impact across industries such as healthcare, finance, and retail, and glimpse into the future of AI in various sectors. Emerging Trends: Stay ahead of the curve by exploring quantum computing's synergy with AI and the convergence of AI with the Internet of Things (IoT). Career Paths: Learn about the diverse roles in AI and the essential skills required, as well as the exciting future of work in the AI field. Whether you're a fan of AI, a student eager to learn, or a seasoned professional, "Introduction to Artificial Intelligence: Understanding the Basics" provides you with the essential knowledge to grasp, appreciate, and effectively navigate the AI revolution. Get ready for an exciting adventure into the fascinating world of artificial intelligence.