论文标题
AI代码和皮质功能的收敛性 - 评论
The Convergence of AI code and Cortical Functioning -- a Commentary
论文作者
论文摘要
神经网是AI编程的最古老的体系结构之一，它是基于生物神经元及其特性的。关于语言应用的最新工作使AI代码在几种方面更接近生物学现实。该评论研究了这种融合，并根据新皮质结构的知识，解决了这些工具是否可以实现的问题。
Neural nets, one of the oldest architectures for AI programming, are loosely based on biological neurons and their properties. Recent work on language applications has made the AI code closer to biological reality in several ways. This commentary examines this convergence and, in light of what is known of neocortical structure, addresses the question of whether ``general AI'' looks attainable with these tools.
