Perovskite Neuromorphic Engine for Transformer Architectures.

ABSTRACT: Memristive computing refers to the hardware implementation of artificial neural networks (ANNs) by employing memristive devices. It supports analog multiply-and-accumulation (MAC) operation in a compact and highly parallel manner, which can significantly enhance computing efficiency. However, applying memristive computing in advanced network structures, such as deep neural networks and multimodal networks, is inefficient because the partial analog computing requires frequently exchanging data between analog and digital domains. Here, a perovskite memristive computing unit with flexible reconfigurability and desired nonlinearity through fully vapor deposition is reported. It enables performing all the mathematical operations necessary for Transformer ANNs completely in the analog domain. A

SUBMITTER: Zhan Z 

PROVIDER: S-EPMC12412470 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature