设计神经形态架构:迈向超低功耗AI

Pierre Boulet
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引用次数: 0

摘要

在IRCICA跨学科研究所的“生物启发信息处理”项目中,我们解决了新兴神经形态架构的科学挑战。这些计算机架构通过将信息处理为尖峰序列并通过尖峰神经网络处理这些信息来模仿大脑。它们在超低功耗人工智能方面有着巨大的潜力。基于我们过去10年的研究,我们将介绍这些体系结构的最新技术,我们关注的应用以及科学热点话题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing neuromorphic architectures: towards an ultra low power AI
In the “bio-inspired information processing” project of the IRCICA interdisciplinary institute, we tackle the scientific challenges of the emerging neuromorphic architectures. These computer architectures mimic the brain by handling the information as spike trains and by processing this information with spiking neural networks. They have a strong potential for ultra low power artificial intelligence. Based on our last 10 years of research, we will present the state-of-the-art of these architectures, the applications we focus on, and the scientific hot topics.
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