AI Research
Towards Sustainable Artificial Intelligence: A Comprehensive Review and Comparative Analysis of Deep Learning Models' Carbon Footprint
Balancing predictive accuracy and energy consumption in the era of large-scale deep learning models.
Artificial Intelligence (AI) and Machine Learning (ML) have become powerful tools for supporting and automating complex human tasks. Despite their benefits, growing attention has been directed toward their environmental implications, primarily due to their high energy demands and...
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ArXiv CS.AI
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ArXiv CS.AI
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As AI models scale in size, their environmental impact has become a critical bottleneck for long-term sustainability. This research underscores that developers must prioritize architectural efficiency to balance high-performance outputs with necessary ecological responsibility.
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