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This work introduces CausalGate, an intervention-guided framework for compute-efficient transformer inference, which consistently outperforms prominent dynamic routing and layer-skipping baselines, translating theoretical compute savings into concrete hardware latency reductions with zero operational overhead.
A programmable RNA-targeting antiviral platform based on RfxCas13d is developed and its activity in avian cells is evaluated, establishing RfxCas13d as a versatile RNA-guided antiviral platform and providing a foundation for cross-strain influenza control through conserved RNA targeting.
Spiking neural networks (SNNs) offer an energy-efficient alternative to conventional deep neural networks by exploiting sparse event-driven computation, but their training remains challenging because the non-differentiable spike function requires surrogate gradients whose fixed shape may be suboptimal across layers and...
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