人工智能在第四次工业革命中扮演着重要的角色,我们也看到了各种机器学习方法的演变。人工智能技术被实践工程师广泛用于解决一系列迄今为止难以解决的问题。EAAI这本杂志为描述人工智能方法在所有工程部门的实际应用的工作的快速出版提供一个国际论坛。提交的论文应报告一些用于现实世界工程应用的人工智能的新方面,并使用一些公共数据集进行验证,以方便研究结果的复制。 官网地址:http://dblp.uni-trier.de/db/journals/eaai/

The 7th Symposium on Educational Advances in Artificial Intelligence (EAAI'17, co-chaired by Sven Koenig and Eric Eaton) launched the EAAI New and Future AI Educator Program to support the training of early-career university faculty, secondary school faculty, and future educators (PhD candidates or postdocs who intend a career in academia). As part of the program, awardees were asked to address one of the following "blue sky" questions: * How could/should Artificial Intelligence (AI) courses incorporate ethics into the curriculum? * How could we teach AI topics at an early undergraduate or a secondary school level? * AI has the potential for broad impact to numerous disciplines. How could we make AI education more interdisciplinary, specifically to benefit non-engineering fields? This paper is a collection of their responses, intended to help motivate discussion around these issues in AI education.

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