A chiplet-based RISC-V SoC with modular AI accelerators and cross-chiplet optimizations reports 14.7% latency reduction and 40.1% efficiency gain versus basic chiplet designs on standard edge AI benchmarks.
Edge Intelligence: Paving the Way for a New Era of AI,
2 Pith papers cite this work. Polarity classification is still indexing.
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2025 2verdicts
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Self-organising memristive networks exhibit collective nonlinear dynamics that can support physical learning with parallels to biological plasticity and potential for energy-efficient edge intelligence.
citing papers explorer
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Chiplet-Based RISC-V SoC with Modular AI Acceleration
A chiplet-based RISC-V SoC with modular AI accelerators and cross-chiplet optimizations reports 14.7% latency reduction and 40.1% efficiency gain versus basic chiplet designs on standard edge AI benchmarks.
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Self-Organising Memristive Networks as Physical Learning Systems
Self-organising memristive networks exhibit collective nonlinear dynamics that can support physical learning with parallels to biological plasticity and potential for energy-efficient edge intelligence.