https://www.collane.unito.it/oa/files/original/cc1694d66a6b93c6070d356a5a6a1709.pdf 120ebf67c2029ba928f94616f5d1dadd Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Edge AI in nature: insect-inspired neuromorphic Reflex Islands for safety-critical edge systems Description An account of the resource Insects achieve millisecond sensor–motor loops with tiny sensors, compact neural circuits, and powerful actuators, embodying the principles of Edge AI [1–9]. We present a comprehensive architectural blueprint translating insect neurobiology into a hardware–software stack: a latency-first control hierarchy that partitions tasks between a fast, dedicated Reflex Tier and a slower, robust Policy Tier, with explicit WCET envelopes and freedom-from- interference boundaries [1–9]. This architecture is realized through a neuromorphic Reflex Island utilizing spintronic primitives, specifically MRAM synapses (for non-volatile, innate memory) and spin-torque nano-oscillator (STNO) reservoirs (for temporal processing), to enable instant-on, memory-centric reflexes [10–16]. Furthermore, we formalize the biological governance mechanisms, demonstrating that unlike conventional ICEs and miniturbines that exhibit narrow best-efficiency islands, insects utilize active thermoregulation and DGC (Discontinuous Gas Exchange) to maintain nearly constant energy efficiency across a broad operational load by actively managing their thermal set-point, which we map into thermal-debt and burst-budget controllers [17–33]. We instantiate this integrated bio-inspired model in an insect-like IFEVS thruster, a solar cargo e-bike with a neuromorphic safety shell, and other safety-critical edge systems, providing concrete efficiency comparisons, latency and energy budgets, and safety-case hooks that support certification and adoption across autonomous domains [6,11,14,28]. Creator An entity primarily responsible for making the resource Pietro Perlo Marco Dalmasso Marco Biasiotto Davide Penserini¹ Publisher An entity responsible for making the resource available Università degli Studi di Torino Date A point or period of time associated with an event in the lifecycle of the resource 2025 Rights Information about rights held in and over the resource This work is licensed under <a href="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0</a><img src="https://mirrors.creativecommons.org/presskit/icons/cc.svg" alt="" style="max-width: 1em; max-height: 1em; margin-left: .2em;" /><img src="https://mirrors.creativecommons.org/presskit/icons/by.svg" alt="" style="max-width: 1em; max-height: 1em; margin-left: .2em;" /> Identifier An unambiguous reference to the resource within a given context ISBN: 9788875903794 Discontinuous gas exchange Edge AI Halteres Insect inspired control MRAM Neuromorphic computing Optic flow Spintronics STNO Thermoregulation WCET