An alliance of humans and machines for machine learning: Hybrid intelligent systems and their design principles

With the growing number of applications of artificial intelligence such as autonomous cars or smart industrial equipment, the inaccuracy of utilized machine learning algorithms could lead to catastrophic outcomes. Human-in-the-loop computing combines human and machine intelligence resulting in a hybrid intelligence of complementary strengths. Whereas machines are unbeatable in logic and computation speed, humans are contributing with their creative and dynamic minds. Hybrid intelligent systems are necessary to achieve high accuracy and reliability of machine learning algorithms. In a design science research project with a Swedish manufacturing company, this paper presents an application of human-in-the-loop computing to make operational processes more efficient. While conceptualizing a Smart Power Distribution for electric industrial equipment, this research presents a set of principles to design machine-learning algorithms for hybrid intelligence. From being AI-ready as an organization to clearly focusing on the customer benefits of a hybrid intelligent system, designers need to build and strengthen the trust in the human-AI relationship to make future applications successful and reliable. With the growing trends of technological advancements and incorporation of artificial intelligence in more and more applications, the alliance of humans and machines have become even more crucial.     

股份公司红利分配方案刍议

股份公司的红利分配方案是股份公司向股东提供投资回报的主要形式。它不仅关系到股东直接的经济利益,而且还向社会传递了公司经营状况的信息。合理地制定分配方案有助于股份公司的健康发展。本文就股份公司的分配方案的类型,特别进行了讨论,比较了股票股息方案与股利股息方案的优劣,并进一步提出了股份公司制订股息政策时应遵循的基本准则：股东利益最大化原则,资本效益原则,风险与收益均衡的原则和短期利益与长期利益的平衡的     

试论企业(集团)多元化经营的时机、节奏和适度

指出了我国经济高速增长和经济结构的大调整给企业实施多元化经营提供了良好的机遇。企业（集团）要抓住这个时机,把握好实施多元化经营战略的时机、节奏和适度,从而走出在实施此战略过程中面临的困境     

坚持科技进步是企业发展的永恒主题

本文是宁波粉末冶金厂改革开放15年来坚持科技进步,使企业获得高速发展和壮大的经验总结。该厂通过技术和设备引进,走上依靠技术改造求发展的道路。其技改经历三个阶段,每个阶段目标明确,投资见效快,粉末冶金制品的年生产能力“六五”末期为450t,“七五”末期跃到1200t,“八五”后期达到2500t。“九五”技改规划实施后,目前金鸡集团内四个企业专业生产粉末冶金制品年生产能力达到7000t,固定资产原值已达到1．35亿元,生产经营规模和产品水平又登上了新的台阶。     

皮层GABA受体诱导的失神发作

利用生物物理平均场模型,通过在皮层引人慢抑制性中间神经元集群,发现抑制性受体GABAa和GABAb在通路抑制性中间神经元集群(IIN)-兴奋性锥体神经元集群(EPN)中均参与了失神发作的调控。特别地,棘慢波放电(SWDs)的出现与一个尺度因子K有关,其被定义为受体GABAa和GABAb的相对强度;由于GABAb受体的慢动力学也是一个致痫因子,因此通过尺度因子K和GABAb时滞t2的状态分析,发现它们可以共同诱导失神发作。这些结果对GABA受体如何诱导失神发作提供了理论指导,并可能为这种脑部疾病的治疗提供新的见解。     

神经动力学与力学

本文回顾力学研究体系的发展,简要介绍神经动力学的主要内容及其作用,探讨神经动力学与力学的密切关系,并提出一些研究展望。     

An integrated multiresolution framework for quality prediction and process monitoring in batch processes

This article presents a new integrated multiresolution framework for quality prediction and process monitoring in complex batch operations: MR-QP&PM. For quality prediction, the proposed framework uses a multiresolution soft sensor that identifies the Critical to Quality (CTQ) variables and optimizes their resolution. This later tuning dimension has been overlooked in previous works and has a significant impact on the predictive accuracy of soft sensors, especially for batch processes. To complement the soft sensor and effectively assess the validity of its predictions and whether the process is operating under normal operating conditions (NOC), a monitoring scheme with multiresolution adaptability is applied. In case a fault is detected, MR-QP&PM is capable to discern whether the fault is CTQ and possibly estimate its impact. MR-QP&PM was tested and compared with current benchmark methods using several batch testing systems, including the well-known PENSIM simulator, where its superior predictive performance and detection ability was demonstrated. A critical analysis of when the quality predictions of MR-QP&PM can and cannot be trusted is also made, in order to set the boundaries where the proposed methodology can be safely applied.     

从信息学的角度分析复杂网络链路预测

链路预测作为复杂网络分析的一项重要任务,其目的是寻找节点间缺失(新)的链路,识别虚假交互,对于挖掘和分析网络的演化,重塑网络模型具有重要意义.传统的链路预测方法多数采用拓扑结构信息、节点的属性信息和图的结构特征.应用这些特征等外部信息可以得到很好的预测效果.本文从信息学的角度全面分析、回顾和讨论了复杂网络链路预测的发展现状,提出了链路预测技术和问题的系统分类.首次将分层的思想引入链路预测分类体系中,把当前的链路预测方法分为基于监督学习的技术、基于半监督学习的技术、基于无监督学习的技术和基于强化学习的技术.对每种技术的优缺点、复杂性、所使用的具体特征,开源实现及应用建议进行了详细的分析.最后,讨论了当前复杂网络链路预测技术未来的发展方向.     

2017年度国家自然科学基金计算机学科项目资助情况分析

文中统计了2017年国家自然科学基金计算机学科面上项目、青年项目、地区项目、重点项目、海外港澳项目、优秀青年项目的资助情况,分析总结了计算机学科资助重点项目的研究特点,为该领域研究人员的自然科学基金项目申请提供了参考。     

Big Data Analytics Services for Enhancing Business Intelligence

This article examines how to use big data analytics services to enhance business intelligence (BI). More specifically, this article proposes an ontology of big data analytics and presents a big data analytics service-oriented architecture (BASOA), and then applies BASOA to BI, where our surveyed data analysis shows that the proposed BASOA is viable for enhancing BI and enterprise information systems. This article also explores temporality, expectability, and relativity as the characteristics of intelligence in BI. These characteristics are what customers and decision makers expect from BI in terms of systems, products, and services of organizations. The proposed approach in this article might facilitate the research and development of business analytics, big data analytics, and BI as well as big data science and big data computing.