自主学习的概率回路：一项模拟研究
Probabilistic Circuits for Autonomous Learning: A simulation study
摘要：
现代机器学习基于在数字计算平台上运行的强大算法，并且人们对加速学习过程并使其更节能非常感兴趣。在本文中，我们提出了一种完全自主的概率电路，用于快速有效的学习，无需使用数字计算。具体来说，我们使用SPICE模拟来演示一个无时钟的自治电路，其中所需的突触权重以模拟电压的形式读出。这种自主电路可能特别感兴趣，因为在移动和边缘计算的背景下，独立的学习设备。
英文摘要：
Modern machine learning is based on powerful algorithms running on digital computing platforms and there is great interest in accelerating the learning process and making it more energy efficient. In this paper we present a fully autonomous probabilistic circuit for fast and efficient learning that makes no use of digital computing. Specifically we use SPICE simulations to demonstrate a clockless autonomous circuit where the required synaptic weights are read out in the form of analog voltages. Such autonomous circuits could be particularly of interest as standalone learning devices in the context of mobile and edge computing.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
