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#approximate-computing News & Analysis

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

2 articles
AIBullisharXiv – CS AI · 10h ago6/10
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TRAM: Training Approximate Multiplier Structures for Low-Power AI Accelerators

Researchers have developed TRAM, a technique that jointly optimizes low-power approximate multiplier structures with AI model training parameters, achieving up to 27% power reduction in vision transformers without significant accuracy loss. This approach differs from prior methods by integrating hardware design with model training rather than designing multipliers separately.

AINeutralarXiv – CS AI · 10h ago6/10
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A Reconfigurable Multiplier Architecture for Error-Resilient Applications in RISC-V Core

Researchers have developed a reconfigurable multiplier architecture for RISC-V processors that dynamically adjusts between exact and approximate computation modes to optimize energy efficiency in neural network inference. The design achieves 44-68% power reduction depending on mode while maintaining computational performance, with demonstrated energy consumption of 1.21 pJ/instruction for matrix multiplication operations.