An LLM-powered tool for approximation of intermitant computing applications.
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Updated
Aug 20, 2025 - C
An LLM-powered tool for approximation of intermitant computing applications.
Battery-free federated learning with adaptive resource-aware sampling (FLARE)
Self-powered, self-regulating neuromorphic unit: a LIF spiking network on a glucose biofuel cell, with a metabolic regulator that scales compute to available energy. Simulation + policy comparison (30 seeds, bootstrap CIs).
Research kernels and recorded artifacts for Zero-ADC event gating and Collatz deterministic recovery, including modeled energy comparisons, fixed-window AVR/Renode firmware, logs, and a validation dossier.
Full-stack modeling and simulation framework for FPGA-based intermittent computing systems.
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