Spyx: A Library for Just-In-Time Compiled Optimization of Spiking Neural Networks

arXiv:2402.18994v1 Announce Type: cross
Abstract: As the role of artificial intelligence becomes increasingly pivotal in modern society, the efficient training and deployment of deep neural networks have emerged as critical areas of focus. Recent advancements in attention-based large neural architectures have spurred the development of AI accelerators, facilitating the training of extensive, multi-billion parameter models. Despite their effectiveness, these powerful networks often incur high execution costs in production environments. Neuromorphic computing, inspired by biological neural processes, offers a promising alternative. …

abstract accelerators ai accelerators architectures artificial artificial intelligence arxiv attention cs.lg cs.ne deployment development focus intelligence library modern networks neural architectures neural networks optimization pivotal role society spiking neural networks training type