Malte J. Rasch

Towards Exact Gradient-based Training on Analog In-memory Computing

Given the high economic and environmental costs of using large vision or language models, analog in-memory accelerators present a promising solution for energy-efficient AI. While inference on analog accelerators has been studied recently, the training perspective is underexplored. Recent studies ha…