Integrating AI-enabled Computing Strategies into Sustainable Development
reveals how artificial intelligence is reshaping the future of sustainable development.
The book brings together multidisciplinary insights from AI, environmental science, and social policy, demonstrating how machine learning, predictive analytics, and natural language processing can optimize resource allocation, boost efficiency, and enable adaptive solutions for today’s most pressing global challenges.
Inside, discover pioneering applications of AI across ten vital areas, including predictive maintenance for real-time environmental monitoring, AI-optimized energy allocation, smart grids for sustainable communities, precision agriculture, resilient urban planning, long-term climate resilience strategies, circular economy optimization, equitable policy design through NLP, risk assessment in supply chains, and navigating the ethical complexities of AI systems.
Integrating AI-enabled Computing Strategies into Sustainable Development is a must-read for researchers, policymakers, engineers, sustainability professionals, environmental scientists, technology strategists, and students seeking actionable guidance and case studies for deploying AI-driven solutions responsibly and effectively in their fields.
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