论文标题
人工通用情报芯片开发的原因，什么以及如何
The Why, What and How of Artificial General Intelligence Chip Development
论文作者
论文摘要
AI芯片越来越专注于以低功率和成本实施神经计算。智能传感，自动化和边缘计算应用程序一直是AI芯片的市场驱动力。将AI芯片解决方案的概括，性能，鲁棒性和可扩展性与人类样智力进行了比较。从特定于应用程序到一般智能AI芯片过境的这种要求必须考虑几个因素。本文概述了这个跨学科的研究领域，阐述了在构建人工通用智能（AGI）系统中理解的智能的概括。这项工作列出了新兴的AI芯片技术，边缘AI实现的分类以及用于AGI CHIP开发的漏斗设计流。最后，列出了构建AGI芯片所需的设计考虑因素以及测试和验证它的方法。
The AI chips increasingly focus on implementing neural computing at low power and cost. The intelligent sensing, automation, and edge computing applications have been the market drivers for AI chips. Increasingly, the generalisation, performance, robustness, and scalability of the AI chip solutions are compared with human-like intelligence abilities. Such a requirement to transit from application-specific to general intelligence AI chip must consider several factors. This paper provides an overview of this cross-disciplinary field of study, elaborating on the generalisation of intelligence as understood in building artificial general intelligence (AGI) systems. This work presents a listing of emerging AI chip technologies, classification of edge AI implementations, and the funnel design flow for AGI chip development. Finally, the design consideration required for building an AGI chip is listed along with the methods for testing and validating it.
