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Chandramouli

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#large language models Open access Sep 2026

Project Brahmaand: Sovereign, Non-Autoregressive Edge Intelligence via 24-Dimensional Topological Cartridges, Zero-Multiplication Subtractive Meshes, and Predictive B-Frames

State-of-the-art Large Language Models (LLMs) rely heavily on autoregressive transformer decoders requiring billions of dense floating-point Multiply-Accumulate (MAC) operations, massive memory bandwidth, and centralized cloud server infrastructure. In this paper, we introduce Project Brahmaand, an edge-native, non-aut...

Chandramouli · 0 citations
#large language models Open access Sep 2026

Project Brahmaand: Sovereign, Non-Autoregressive Edge Intelligence via 24-Dimensional Topological Cartridges, Zero-Multiplication Subtractive Meshes, and Predictive B-Frames

State-of-the-art Large Language Models (LLMs) rely heavily on autoregressive transformer decoders requiring billions of dense floating-point Multiply-Accumulate (MAC) operations, massive memory bandwidth, and centralized cloud server infrastructure. In this paper, we introduce Project Brahmaand, an edge-native, non-aut...

Chandramouli · 0 citations

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