Edge computing is promising to become one of the next hottest topics in artificial intelligence because it benefits various evolving domains such as real-time unmanned aerial systems, industrial applications, and the demand for privacy protection. This paper reviews recent advances on binary neural network (BNN) and 1-bit CNN technologies that are well suitable for front-end, edge-based computing. We introduce and summarize existing work and classify them based on gradient approximation, quantization, architecture, loss functions, optimization method, and binary neural architecture search. We also introduce applications in the areas of computer vision and speech recognition and discuss future applications for edge computing.

中文翻译：

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边缘计算二进制神经网络的最新进展综述

边缘计算有望成为人工智能领域下一个最热门的话题，因为边缘计算受益于各个领域的发展，例如实时无人机系统，工业应用以及对隐私保护的需求。本文回顾了二进制神经网络（BNN）和1位CNN技术的最新进展，这些技术非常适合基于边缘的前端计算。我们介绍和总结现有工作，并基于梯度近似，量化，体系结构，损失函数，优化方法和二进制神经体系结构搜索对它们进行分类。我们还将介绍计算机视觉和语音识别领域的应用程序，并讨论边缘计算的未来应用程序。