Presenting LASANA at MLCAD 2025!

I am pleased to announce that we will be presenting our work, LASANA: Large-Scale Surrogate Modeling for Analog Neuromorphic Architecture Exploration, at MLCAD 2025 in Santa Cruz, CA! LASANA leverages machine learning to create fast and accurate surrogate models of analog sub-blocks in hybrid mixed-signal neuromorphic architectures, achieving up to three orders of magnitude speedup over SPICE simulations while maintaining high accuracy. The project is open-sourced and available below: GitHub: https://lnkd.in/g_9KUXJc Code Ocean: https://lnkd.in/gHd-AXmt