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Springer Intelligent Machines for Systemic Climate Change Mitigation - AI Book

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Description

This Springer publication examines the intersection of artificial intelligence and climate action, exploring how intelligent machines can address systemic environmental challenges. The book integrates technical AI concepts with societal and human factors, offering readers a comprehensive understanding of how technology and social systems interact to drive meaningful climate mitigation. Designed for researchers, professionals, and academics in computer science and environmental fields, it bridges the gap between machine learning theory and real-world climate solutions by considering both technological capabilities and the human dimensions essential for implementation.

Key Features

Springer-published academic text focusing on intelligent machines applied to climate change mitigation strategies.

Explores societal and human factors alongside technical AI approaches for environmental problem-solving.

Addresses systemic climate challenges through the lens of artificial intelligence and computing innovations.

Suitable for researchers, academics, and professionals in AI, machine learning, and environmental science fields.

Comprehensive coverage integrating technical depth with practical climate action considerations.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
10 April 2026
Listed Since
26 June 2025

Barcode

No barcode data available

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