Includes bibliographical references.
|Statement||edited by Laveen N. Kanal ... (et al.).|
|Series||Machine intelligence and pattern recognition -- v.14|
|Contributions||Kanal, Laveen N., International Joint Conference on Artificial Intelligence (1993 : Chambéry, France)|
|The Physical Object|
|Number of Pages||428|
We are intelligent and our mind process the information in parallel. You see the images as a whole, not pixel-by-pixel. You process sounds, visuals and other senses all in at a time. In computing neural networks are the best example of connect. Parallel Processing for Artificial Intelligence 1 (Machine Intelligence and Pattern Recognition 14) [Laveen N. Kanal, V. Kumar, H. Kitano, C.B. Suttner] on *FREE* shipping on qualifying offers. p blue hardback, from a Cambridge college library, excellent condition, unused and clean. Get this from a library! Parallel processing for artificial intelligence. [Laveen N Kanal;] -- Parallel processing for AI problems is of great current interest because of its potential for alleviating the computational demands of AI procedures. The articles in this book consider parallel. In a very basic sense, Artificial Intelligence is man's desire to build computers that can process data and information to build and store knowledge and use that knowledge to attain specific goals, very similar to how human brains do it. So let's.
Genre/Form: Electronic books: Additional Physical Format: Print version: Kanal, L.N. Parallel Processing for Artificial Intelligence 1. Burlington: Elsevier Science. Parallel processing involves utilizing several factors, such as parallel architectures, parallel algorithms, parallel programming lan guages and performance analysis, which are strongly interrelated. In general, four steps are involved in performing a computational problem in parallel. It includes applications, such as natural language understanding, machine translation, planning, image understanding, and many other areas normally associated with artificial intelligence. Realistic knowledge-processing systems require huge amounts of storage and processing power. Parallel processing techniques not only can improve the. Parallel Processing for Artificial Intelligence Vol. 2 (MACHINE INTELLIGENCE AND PATTERN RECOGNITION) [Kumar, Vipin, Kitano, Hiroaki, Kanal, Laveen N., Suttner, Christian B.] on *FREE* shipping on qualifying offers. Parallel Processing for Artificial Intelligence Vol. 2 (MACHINE INTELLIGENCE AND PATTERN RECOGNITION).
The increased sophistication and availability of massively parallel supercomputers has had two major impacts on research in artificial intelligence, both of which are addressed in this collection of exciting new AI theories and experiments. Massively parallel computers have been used to push forward research in traditional AI topics such as vision, search, and speech. Parallel Processing for Artificial Intelligence. Edited by Laveen N. KANAL, Vipin KUMAR, Hiroaki KITANO, select article Chapter 1 - A Perspective on Parallel Processing in Computer Vision and Image Understanding. Book chapter Full text access Chapter 15 - Process Trellis and FGP: Software Architectures for Data Filtering and Mining. The articles in this book consider parallel processing for problems in several areas of artificial intelligence: image processing, knowledge representation in semantic networks, production rules, mechanization of logic, constraint satisfaction, parsing of natural language, data filtering and data mining. Cite this chapter as: Roosta S.H. () Artificial Intelligence and Parallel Processing. In: Parallel Processing and Parallel : Seyed H. Roosta.