Application of Artificial Intelligence in Clinical Nursing in Information Age

Author(s):  
Mengsi Zhang
Author(s):  
John O. McGinnis

This introductory chapter analyzes the central political problem of our time, namely how to adapt democracy to the acceleration of the information age. Modern technology creates a supply of new tools for improved governance, but it also creates an urgent demand for putting these tools to use. We need better policies to obtain the benefits of innovation as quickly as possible and to manage the social problems that speedier innovation will inevitably create—from pollution to weapons of mass destruction. Our task is to place politics progressively within the domain of information technology—to use its new or enhanced tools, such as empiricism, information markets, dispersed media, and artificial intelligence, to reinvent governance. An overview of the subsequent chapters is also presented.


Author(s):  
Zi Qi Pamela Ng ◽  
Li Ying Janice Ling ◽  
Han Shi Jocelyn Chew ◽  
Ying Lau

2020 ◽  
Vol 148 (1) ◽  
pp. 79-85
Author(s):  
Ye Yudan

UN led peacekeeping operations began in 1948. Since then, peacekeeping operations have gradually entered an information age that is constantly influenced and defined by computers, the Internet, etc. The invention of computer, whether or not its original intention is limited to the purpose of assisting human beings in numerical calculation, will eventually lead to the generation of intelligent machines that can ex-tend and enhance the abilities of human beings to transform nature and govern so-ciety. When artificial intelligence is widely used and has shaped the society into a hu-man-computer symbiotic society, peacekeeping operations must take the initiative to face the new era environment which is different from the past history of human beings, and make efforts to solve the complex problems they are facing.


2012 ◽  
Vol 19 (3) ◽  
pp. 53-59 ◽  
Author(s):  
Ming-Cheng Tsou

ABSTRACT As we enter the 21st century and advance further into the information age, traditional methods for computing a celestial navigation fix can no longer meet the requirements of modern vessels in terms of calculation speed and precision. Study of precise, rapid, and convenient celestial navigation computational methods and the application of information technology to modern celestial navigation is especially meaningful, considering the current push for e-Navigation. In this work, we employ a genetic algorithm, from the field of artificial intelligence, due to its superior search ability that mimics the natural process of biological evolution. Unique encodings and genetic operators designed in this study, in combination with the fix principle of celestial circles of equal altitude in celestial navigation, allow the rapid and direct attainment of accurate optimum vessel position. Test results indicate that this method has more flexibility, and avoids tedious and complicated computation and graphical procedures.


2021 ◽  
Author(s):  
Chengshui Yu

With the continuous development of the times and the continuous progress of science and technology, intelligent robots, big data, artificial intelligence, and other technologies are gradually emerging in the construction industry. Building construction inevitably needs new blood to solve current problems under the tide of information age. Intelligent building has become a necessary way for building development. At present, in the field of intelligent construction, research and theory in various directions have developed to varying degrees. Through the analysis of existing theories, this paper sorts out the theoretical framework and core logic of intelligent construction, and looks forward to the development trend of intelligent construction in the future.


2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Lei Li

With the advent of the information age and the rapid development of communication technology, traditional teaching methods and methods can no longer meet people’s needs for education in the information age. This research mainly discusses the flipped classroom English translation teaching model based on the fusion algorithm of network communication and artificial intelligence. This research proposes an Internet learning platform based on Tencent’s QQ communication software and mobile terminals. This learning platform can meet the learning needs of flipped classrooms, without spending a lot of investment in hardware and software development. This is a relatively ideal Internet learning platform suitable for students to carry out flipped classroom learning. Most of these mobile terminals have functions such as video playback, document reading and editing, wireless network connection, QQ communication, and large-capacity storage. These functions provide support for the smooth implementation of flip class. The video playback function can meet the needs of students to download and watch microvideos. Students can use mobile terminals to watch anytime, anywhere. The document reading and editing function can help students read related learning materials online, including self-study test questions, task lists, and teaching evaluation forms. Under this platform, students and teachers who are participants in the learning process are linked to each other through the QQ of the network terminal. The learning resources are uploaded by the teacher to the group file for students to download and watch. Students use the QQ group to give feedback and discuss difficult problems. This kind of learning network that flexibly chooses the learning time and place according to the individual student’s own situation is very efficient and convenient. After the English translation test, the failure rate of the experimental class was only 3.3%, while in the control class, the failure rate was 8.3%. This research will better integrate the flipped classroom teaching mode and English translation teaching by building a learning exchange platform, which will help improve the quality of teaching.


2018 ◽  
Vol 13 (1) ◽  
pp. 22
Author(s):  
Frank J Kaszuba ◽  
W Michael Alberts

The exponential growth of medical data can be difficult to process. Healthcare providers must be critical in their evaluation of information, but at the same time be ready to question long-held beliefs. At present, major search engines and aggregators are inadequate at determining relevance and significance of this vast body of data. In the future, artificial intelligence may be able to filter useful data and present it in a meaningful fashion, allowing us to make informed decisions.


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