Temperature stabilization with Hebbian learning using an autonomous optoelectronic dendritic unit enables ultrafast signal processing

https://www.eurekalert.org/news-releases/1084178

"combines neuro-inspired Hebbian machine learning computing with high-speed optoelectronics for high-speed / photonics adaptive feedback control based on input correlation learning rule... significantly higher frequencies enable low latency, high bandwidth, electromagnetic interference resistance... fiber-based dendritic structure with closed-loop controller, 1 GHz signaling/ sampling...  applied to a hypothetical temperature stabilization task, demonstrating its potential for ultra-fast, adaptive control”

Related: Shape-shifting particles allow temperature control over fluid flow and stiffness
https://phys.org/news/2025-07-shifting-particles-temperature-fluid-stiffness.html

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