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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Yi-Ran Chen

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#edge computing Oct 2026

CAMformer: Binary Associative Memory Is All You Need

Transformer attention mechanisms pose significant scalability challenges due to quadratic complexity in sequence length, and existing accelerators remain bottlenecked by dense arithmetic and data movement. This paper proposes CAMformer, a hardware accelerator that reinterprets attention as an associative memory operati...

Tergel Molom-Ochir, Benjamin F. Morris, Mark Horton et al. · 0 citations
Book Open access Aug 2026

A Differentiable Simulator for Optimizing Time-Domain Analog CNN Accelerators

Edge intelligence promises responsive, private, and energy-efficient sensing without continual dependence on remote compute. This demands convolutional neural network (CNN) accelerators that deliver substantially higher throughput and energy efficiency than conventional digital pipelines while preserving high accuracy....

Mark Horton, Changwoo Park, Tergel Molom-Ochir et al. · 0 citations
Preprint Sep 2026

Vortex: Bridging Extreme Compression and Efficient LLM Inference

This study addresses challenges with Vortex, an architecture compatible with systolic-array-based accelerators with minimal hardware overhead, bridging the gap between extreme compression and efficient inference, and proposes codebook-wise contextual sparsity to align with VQ execution.

Haoxuan Shan, Cong Guo, Bo-Wen Duan et al. · 0 citations

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