IDN proposes treating AI intelligence as deliverable network services positioned dynamically across distributed compute environments to improve efficiency, latency, and privacy.
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2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
ShiftLIF maps membrane potentials to logarithmically spaced power-of-two spike levels, improving representational capacity in SNNs while keeping synaptic operations multiplier-free.
citing papers explorer
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Intelligence Delivery Network: Toward an Internet Architecture for the AI Age
IDN proposes treating AI intelligence as deliverable network services positioned dynamically across distributed compute environments to improve efficiency, latency, and privacy.
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ShiftLIF: Efficient Multi-Level Spiking Neurons with Power-of-Two Quantization
ShiftLIF maps membrane potentials to logarithmically spaced power-of-two spike levels, improving representational capacity in SNNs while keeping synaptic operations multiplier-free.