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Springer Parallel Computation and Computers for AI Book

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Description

Explore the emerging landscape of distributed and parallel processing in artificial intelligence with this specialized text from Springer. While AI computations offer immense potential for parallel processing, the methods for designing specific AI algorithms and efficient computer architectures remain a developing area of study. This volume addresses the current gaps in the field by collecting essential contributions from leading researchers and pioneers in artificial intelligence. It provides a foundational look at the significant ideas and initial practical experiences that are shaping the future of parallel computation. Designed for those studying computer science architecture and microprocessors, this book serves as a vital resource for understanding how parallel computer architectures can be optimized for AI applications. It bridges the gap between theoretical AI concepts and the practical requirements of high-performance computing environments.

Key Features

Explores the potential of distributed and parallel processing specifically for artificial intelligence computations.

Addresses the design of parallel AI algorithms and efficient computer architectures for specialized applications.

Contains research contributions from leading researchers and pioneers within the field of AI.

Provides insight into the initial practical experiences and significant ideas in parallel computation.

Part of the Springer International Series in Engineering and Computer Science, volume 26.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 December 1987
Listed Since
15 December 2006

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No barcode data available

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