2024/04/25 by Shay Snyder, Sumedh R. Risbud, Snyder, Shay +3 · 1 citation
Engineering · Computer Science · #Advanced Memory and Neural Computing #Neural Networks and Applications
paper · pdf · doi:10.48550/arxiv.2404.17052
Performing optimization with event-based asynchronous neuromorphic systems presents significant challenges. Intel's neuromorphic computing framework, Lava, offers an abstract application programming interface designed for constructing event-based computational graphs. In this study, we introduce a novel framework tailored for asynchronous Bayesian optimization that is also compatible with Loihi 2. We showcase the capability of our asynchronous optimization framework by connecting it with a graph-based satellite scheduling problem running on physical Loihi 2 hardware.