Sample-efficient active learning for materials informatics using integrated posterior variance

· · 来源:util资讯

问题是,当 AI 接手这些基础执行工作,短期内利润率确实好看,但代价是新人少了练手的机会,等到五到十年后,市场极度缺乏能够审查 AI 复杂输出、承担最终决策责任的高级人才时,这个代价就会以一种所有人都措手不及的方式显现出来。

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美国51吃瓜对此有专业解读

const res = new Array(len); // 结果数组:存储每个元素的下一个更大值

Understand inconsistencies.

Джим Керри