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Springer Parallel Computation and Computers for AI - Springer Series

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Description

This scholarly volume explores the intersection of artificial intelligence and parallel computing, presenting contributions from leading researchers and pioneers in the field. The book addresses the critical challenge of designing efficient parallel algorithms and computer architectures specifically optimised for AI applications. As parallel computation for AI remains an emerging discipline, this collection captures significant foundational ideas and early practical implementations that define the field. Readers gain comprehensive insight into distributed processing approaches for AI workloads, making this an essential resource for computer scientists, engineers, and researchers developing next-generation AI systems and infrastructure.

Key Features

Part of The Springer International Series in Engineering and Computer Science, establishing its credibility within academic and professional computing communities.

Gathers contributions from multiple leading researchers and AI pioneers, providing diverse perspectives on parallel computation methodologies.

Addresses the design of parallel AI algorithms, a critical gap in current literature and practice.

Explores efficient computer architectures tailored for artificial intelligence applications and distributed processing.

Combines theoretical frameworks with initial practical experience, bridging academic concepts and real-world implementation.

Product Specifications

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

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