·782· 智能系统学报 第13卷 of networked smart grid[J].Automatic,2016,70:94-100. 徐勇，男，1971年生，教授，博士， [22]FU Shihua,WANG Yuzhen,ZHAO Guodong.A matrix 主要研究方向为非线性系统控制、图 论、复杂网络控制与优化。参加或主 approach to the analysis and control of networked evolu- 持省部级科研项目10余项，发表学术 tionary games with bankruptcy mechanism[J].Asian 论文30余篇，被EI检索10余篇。 journal of control,2017,19(2):717-727. 作者简介： 武利琴，女，1992年生，硕士研究 王金环，女，1980年生，副教授 生，主要研究方向为网络演化博弈及 博士，主要研究方向为多智能体系统 应用。 协同控制、网络演化博弈。主持国家 级、省部级科研项目4项，发表学术论 文30余篇，被SCI和EI收录30余篇。 2018年人工智能与云计算大会(AICCC2018) 2018 Artificial Intelligence and Cloud Computing Conference (AICCC 2018) 2018 Artificial Intelligence and Cloud Computing Conference (AICCC 2018)will be held during 21- 23 December.2018 in Tokyo.Japan.This conference is meant for researchers from academia.industries and research development organizations all over the globe interested in the areas of Artificial Intelligence and Cloud Computing.It will put special emphasis on the participations of PhD students,Postdoctoral fellows and other young researchers from all over the world.It would be beneficial to bring together a group of experts from diverse fields to discuss recent pro- gress and to share ideas on open questions.The conference will feature world-class keynote speakers in the main areas. While artificial intelligence(A.I.)has struggled to gain footholds in other niches,it is finding its place in the world of cloud computing,a sort of revolution within the revolution that could rapidly change the face of businesses using cloud computing solutions over the next few years.What Is A.I.?First contemplated and theorized in the 1950s,A.I. generally refers to the ability of machines to perform intellectual tasks.It has branched into several different sub-levels since then,including machine learning,which,beginning around 1980,enabled computers to learn and build models, deep learning,which uses neural networks,and cognitive computing,a product of the last decade or so,which can allow machines to interact naturally with us.Machine learning(ML)and deep learning(DL)are the branches of A.I.most commonly linked to cloud computing.They can be harnessed for unsupervised work in analytics,predictions,and data mining-three absolutely huge parts of thousands of applications used by businesses in the cloud every single day.Deep learning takes machine learning a step forward.Instead of using a singular algorithm to crunch data,it uses a legion of them,all related,to create new,deep networks without human oversight.Deep learning has been successful in image recognition,facial recognition,even prediction of diseases based on a patient's electronic health records.In three areas of cloud computing,A.I.is taking long strides.Those areas are ML algorithms,Big Data and parallel processing.of networked smart grid[J]. Automatic, 2016, 70: 94–100. FU Shihua, WANG Yuzhen, ZHAO Guodong. A matrix approach to the analysis and control of networked evolu￾tionary games with bankruptcy mechanism[J]. Asian journal of control, 2017, 19(2): 717–727. [22] 作者简介： 武利琴，女，1992 年生，硕士研究 生，主要研究方向为网络演化博弈及 应用。 徐勇，男，1971 年生，教授，博士， 主要研究方向为非线性系统控制、图 论、复杂网络控制与优化。参加或主 持省部级科研项目 10 余项，发表学术 论文 30 余篇，被 EI 检索 10 余篇。 王金环，女，1980 年生，副教授， 博士，主要研究方向为多智能体系统 协同控制、网络演化博弈。主持国家 级、省部级科研项目 4 项，发表学术论 文 30 余篇，被 SCI 和 EI 收录 30 余篇。 2018 年人工智能与云计算大会（AICCC 2018） 2018 Artificial Intelligence and Cloud Computing Conference (AICCC 2018) 2018 Artificial Intelligence and Cloud Computing Conference (AICCC 2018) will be held during 21– 23 December, 2018 in Tokyo, Japan. This conference is meant for researchers from academia, industries and research & development organizations all over the globe interested in the areas of Artificial Intelligence and Cloud Computing. It will put special emphasis on the participations of PhD students, Postdoctoral fellows and other young researchers from all over the world. It would be beneficial to bring together a group of experts from diverse fields to discuss recent pro￾gress and to share ideas on open questions. The conference will feature world-class keynote speakers in the main areas. While artificial intelligence (A.I.) has struggled to gain footholds in other niches, it is finding its place in the world of cloud computing, a sort of revolution within the revolution that could rapidly change the face of businesses using cloud computing solutions over the next few years. What Is A.I.? First contemplated and theorized in the 1950s, A.I. generally refers to the ability of machines to perform intellectual tasks. It has branched into several different sub-levels since then, including machine learning, which, beginning around 1980, enabled computers to learn and build models, deep learning, which uses neural networks, and cognitive computing, a product of the last decade or so, which can allow machines to interact naturally with us. Machine learning (ML) and deep learning (DL) are the branches of A.I. most commonly linked to cloud computing. They can be harnessed for unsupervised work in analytics, predictions, and data mining-three absolutely huge parts of thousands of applications used by businesses in the cloud every single day. Deep learning takes machine learning a step forward. Instead of using a singular algorithm to crunch data, it uses a legion of them, all related, to create new, deep networks without human oversight. Deep learning has been successful in image recognition, facial recognition, even prediction of diseases based on a patient’s electronic health records. In three areas of cloud computing, A.I. is taking long strides. Those areas are ML algorithms, Big Data and parallel processing. ·782· 智 能 系 统 学 报 第 13 卷