Machine Learning Systems

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Machine Learning Systems

The Role of Hardware Design for Dependable Computing

Electronics: circuits and components Embedded systems Machine learning

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Collection: Engineering

Language: English

Published by: Springer

Published on: 22nd May 2026

Format: LCP-protected ePub

ISBN: 9783032179487


Introduction

This book addresses the technological contributions and developments of advanced hardware for Machine Learning (ML) computing systems. The authors discuss state-of-the-art progress in this area (and related topics) as well as reporting on their application to diverse fields. This is achieved by chapters covering the entire spectrum of research activities to include design and applications, with a focus on high performance and dependable operation. The entire hardware stack (from circuit, to architecture, up to the system level) is discussed in detail.

The book will cover innovative material as well as tutorials, reviews and surveys of current theoretical/experimental results, design methodologies and applications over a wide spectrum of scope for an enlarged readership, so to include engineers as well as scientists.

Topics Covered

Discusses a wide range of topics for Machine Learning-based computer systems;
Covers design and application for the entire hardware stack, with a focus on high performance and dependability;
Includes innovative material, as well as tutorials, reviews and surveys of current theoretical/experimental results.

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