试论人工智能应用于我国传统制造业的启示

现阶段,人工智能的应用和普及已经成为社会运行发展的一大趋势。与此同时,传统制造业面临着与人工智能相结合应用的升级和转型。论文基于人工智能发展与应用的背景,对人工智能带来的机遇和挑战展开分析,指出了人工智能应用于我国传统制造行业未来发展趋势方面的启示,并在此基础上提出人工智能在传统制造行业的应用办法,提高人工智能运行效率。     

Applications of Statistics in the Field of General Insurance: An Overview

This is an expository paper on applications of statistics in the field of general insurance, also called non‐life insurance. Unlike life insurance where advanced statistical techniques have long been part of financial mathematics and actuarial applications, their use is only relatively recent in non‐life insurance. The business model of insurance companies, especially those active in non‐life insurance, has seen dramatic changes over the last 15 years. The aim of this paper is to convince the readers that especially today non‐life insurance is not only an exciting ground to apply existing modern statistical tools but also a fertile environment for new and challenging statistical developments. The activities of an insurance company can be viewed as an industrial process where data management and data analysis play a key role. That is why a fundamental understanding of data‐related issues (such as data quality, variability, analysis and correct interpretation) is so essential to the insurance business. These are exactly the tasks where professional statisticians excel. Also, a better understanding of the field of general insurance by statisticians will promote fruitful exchanges between actuaries and statisticians, thereby helping to bring actuarial and statistical professional societies closer to each other. Selected examples are used to cover the essential aspects of general insurance, and all of them are based on the author's experience. The paper concludes with some remarks on the role of statisticians working in general insurance.     

Optimal capacity and operation design of a robot logistics system for the hotel industry

This study introduces an optimal capacity and operation design of a robot logistics system that can reduce human workload in the hotel industry. In hotels, there are several duties that can be replaced by robots such as accompanying guests to the certain areas, delivering specific items to the guest rooms, and transporting some items that guests want to be removed from the guest rooms. To apply the robot logistics system in the hotel industry, the capacity and operation design should be prepared adequately. For that, a mathematical model-based optimization technique is used to decide the number of robots with the concept of minimizing total investment cost and to derive the optimal job assigning with the purpose of maximizing total covered jobs. In addition, a numerical example is performed to validate the proposed mathematical model and the sensitivity tests are examined to reflect the random features.     

人工智能技术辅助开发“智铸”系统

采用开源免费的深度学习平台,利用python二次开发了“智铸”系统,包括“识铸”“听铸”“盯铸”三个模块,铸造企业员工可以用手机或电脑自主学习,提升员工从业能力。在设备旁安装“听铸”软硬件一体化设备,可以实现对连续运行设备的在线自动监听侦测。“盯铸”模块实现连续生产铸件的自动检测、铸造缺陷分析与重点安全区域的监控。     

Taking superintelligence seriously: Superintelligence: Paths,dangers, strategies by Nick Bostrom (Oxford University Press, 2014)

A new book by Nick Bostrom, Superintelligence: Paths, Dangers, Strategies, is reviewed. Superintelligence explores the future of artificial intelligence and related technologies and the risks they may pose to human civilization. The book ably demonstrates the potential for serious thinking aimed at the long-term future. Bostrom succeeds in arguing that the development of superintelligent machines will, if not properly managed, create catastrophic risks to humanity. The book falls short in some respects, and some sections are more compelling and novel than others. Overall, however, Bostrom’s book succeeds in demolishing the “null hypothesis” according to which the possibility and risks of superintelligence can continue to be ignored, and is a must-read for those interested in the long-term future of humanity.     

Does hospitality diversity education make a difference in undergraduate students’ emotional intelligence

Soft skills are typically referred to as the attributes exhibited or contained by an individual that display his/her ability to interact with others. Two types of soft skills that are often discussed within the hospitality industry are diversity awareness and emotional intelligence. Diversity may be explained or defined as a state of unlikeness, the conditions of being different, and all things that make us different. Areas where differences may exist include race, ethnicity, gender, sexual orientation, socio-economic status, age, physical abilities, religious beliefs, political affiliation and emotional reaction. Emotional intelligence (EI) has been defined as the ability to perceive, understand, regulate, and harness emotions in the self and others. How one deals with emotion is one characteristic that varies from culture to culture. Research has shown that EI may be a contributing factor in a moment of truth being considered a failure or success. The purpose of this study was to examine if undergraduate student EI scores change after completing a diversity issues course. Students completed the Assessing Emotions Scale on the first class day. At the conclusion of the 15-week course covering approximately 20 diversity issues concepts students completed the same EI assessment. Paired sampled t-testing was conducted to determine whether mean differences existed when comparing post and pre-course scores. Results of this study suggest that certain components of EI are significantly changed after taking the diversity issues course.     

从多元智力理论看如何提高高职教育的教学质量

随着职业教育的蓬勃发展,如何提高高职教育的教学质量是各级教育行政部门和高职院校必须解决的问题,作为高职院校的一名普通教师,笔者主要从多元智力理论这个角度来谈一谈自己的一些粗浅的看法。     

Economic corollaries of personalized recommendations

The impact of recommendation systems (RSs) on the diversity of consumption is not transparent or well understood. Available studies, whether experimental or theoretical, show inconsistent and even opposite results, which manifests as debate in the literature. In this paper, we investigate the impact of two main recommender systems, neural collaborative filtering and deep content filtering, on sales diversity via a randomized field experiment. Our results confirm the capability of recommender engines in increasing or decreasing aggregate sales diversity. Nonetheless, they amplify homogenization and reduce individual-level consumption diversity. In conclusion, our research reconciles seemingly contradict previous findings and illustrates that the design of the RS is the decisive factor in homogenizing or diversifying product sales.