← heapsort-ai

wildfire evacuation

3 items

RESEARCHDEV.to AI·25d ago

Edge-to-Cloud Swarm Coordination for wildfire evacuation logistics networks with zero-trust governance guarantees

The content describes a failed wildfire simulation involving drone swarms for evacuation logistics, due to agent conflicts, data latencies, and malicious data injection. The author concludes that building a resilient real-time coordination system is fundamentally a trust problem, not just an optimization problem.

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ARTICLEDEV.to AI·5/10/2026

Cross-Modal Knowledge Distillation for wildfire evacuation logistics networks under real-time policy constraints

The author describes a personal journey into cross-modal knowledge distillation for wildfire evacuation logistics networks, driven by memories of the 2020 California wildfires. They explore how AI can integrate satellite imagery with real-time policy constraints for disaster response.

27
RESEARCHDEV.to AI·4/12/2026

Explainable Causal Reinforcement Learning for wildfire evacuation logistics networks in carbon-negative infrastructure

This research focuses on overcoming the limitations of standard Reinforcement Learning models in optimizing wildfire evacuations. The author applies causal inference, inspired by Judea Pearl and Bernhard Schölkopf, to address inexplicable recommendations and confounding variables.

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