ENTITY
Spiking Transformers
Spiking Transformers
PulseAugur coverage of Spiking Transformers — every cluster mentioning Spiking Transformers across labs, papers, and developer communities, ranked by signal.
Total · 30d
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2 over 90d
Releases · 30d
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Papers · 30d
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2 over 90d
TIER MIX · 90D
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TIMELINE
- 2026-05-22 research_milestone A new framework was proposed to approximate nonlinear operators in Transformers for compatibility with spiking neural networks. source
RECENT · PAGE 1/1 · 2 TOTAL
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New framework enables spiking neural networks for large language models
Researchers have developed a new framework to make large language models more compatible with neuromorphic hardware. The method focuses on creating spike-friendly approximations for the nonlinear operators within Transf…
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Vision SmolMamba uses spike-guided pruning for energy-efficient vision models
Researchers have introduced Vision SmolMamba, a novel energy-efficient spiking state-space architecture designed for visual modeling. This architecture integrates spike-driven dynamics with linear-time selective recurre…