#green-ai News & Analysis

2 articles tagged with #green-ai. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · Jun 87/10

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Scale When Needed: Adaptive Neuron-level Mixed Precision Quantization Aware Training

Researchers propose Neuron-Level Mixed-Precision Quantization Aware Training (NMP-QAT), a neural network compression technique that independently optimizes precision for individual neurons rather than entire layers. The method achieves better compression-accuracy trade-offs than existing approaches, making it particularly valuable for deploying AI models on resource-constrained edge devices in 6G networks.

AIBullisharXiv – CS AI · Feb 277/108

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RAGdb: A Zero-Dependency, Embeddable Architecture for Multimodal Retrieval-Augmented Generation on the Edge

Researchers introduce RAGdb, a revolutionary architecture that consolidates Retrieval-Augmented Generation into a single SQLite container, eliminating the need for cloud infrastructure and GPUs. The system achieves 100% entity retrieval accuracy while reducing disk footprint by 99.5% compared to traditional Docker-based RAG stacks, enabling truly portable AI applications for edge computing and privacy-sensitive environments.