The New Development Direction of Artificial Intelligence—Human Cyber Physical Intelligence

2021 ◽  
Author(s):  
Xiaoxia Li
Keyword(s):  
Artificial Intelligence ◽  
New Development ◽  
Development Direction

scholarly journals Research on the Reform of Higher Automotive Engineering Education Under the Background of Artificial Intelligence

2021 ◽  
Vol 245 ◽  
pp. 03091
Author(s):  
Xi Zhu
Keyword(s):  
Artificial Intelligence ◽  
Automotive Industry ◽  
Teaching Staff ◽  
System Construction ◽  
Automotive Engineering ◽  
New Development ◽  
Development Direction ◽  
Training Mode ◽  
Joint Training

With the wide application of Artificial Intelligence (AI) in the field of automobile, IntelliDrive has become a new development direction in the automotive industry. Under the background of AI, automobile companies put forward new requirements for the ability and quality of automotive engineering talents. There is a huge gap in compound automotive engineering talents that can meet the needs of automobile enterprises. This paper starts from the current situation of auto companies’ demanding for talents in automotive engineering under the background of AI, analyzes the current problems in the process of training automotive engineering professionals in Chinese colleges and presents a plan to promote the reform of the training mode of automotive engineering professionals in colleges from four aspects: curriculum system construction, teaching staff construction, school-enterprise joint training, strengthen the personalized training of students.

Study on Coordination of Heterogeneous Databases

2014 ◽  
Vol 608-609 ◽  
pp. 336-342
Author(s):  
Huan Liu
Keyword(s):  
Hot Spot ◽  
Computer Software ◽  
Heterogeneous Databases ◽  
Important Research ◽  
Heterogeneous Database ◽  
New Techniques ◽  
Directory Service ◽  
New Development ◽  
Development Direction ◽  
New Applications

How to coordinate heterogeneous database to realize sharing and consistency of information not only is an important research subject in the database filed, but also is an emerging research hot spot in the field of database system. As a new development direction of computer software, it applies some new techniques to integrate the existing systems to develop new applications. The paper analyzes CSCW, XML, JDBC and heterogeneous database, and proposes a solution of heterogeneous database. The solution absorbs the thoughts of database meta data, middle ware and LDAP directory service.

scholarly journals Research on load balancing technology for microservice architecture

2021 ◽  
Vol 336 ◽  
pp. 08002
Author(s):  
Hao Wang ◽  
Yong Wang ◽  
Guanying Liang ◽  
Yunfan Gao ◽  
Weijian Gao ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Load Balancing ◽  
High Availability ◽  
Software Architectures ◽  
Delayed Response ◽  
Urgent Problem ◽  
Service Load ◽  
Development Direction ◽  
Service Capability ◽  
Microservice Architecture

With the emergence and development of new software architectures such as microservices, how to effectively handle the service load and ensure the service capability of the system has become an urgent problem to be solved. Load balancing technology needs to achieve high availability of microservices without affecting the delayed response of requests. According to different principles of adoption, mainstream load balancing technologies have emerged, such as polling methods, hash algorithms, and artificial intelligence technologies. This article categorizes and summarizes load balancing technologies for microservice architecture, and elaborates the methods and characteristics of current mainstream load balancing technologies. Based on the comparative analysis of existing technologies, this paper summarizes and points out the future development direction of load balancing technology.

scholarly journals Physician Confidence in Artificial Intelligence: An Online Mobile Survey (Preprint)

2018 ◽  
Author(s):  
Songhee Oh ◽  
Jae Heon Kim ◽  
Sung-Woo Choi ◽  
Hee Jeong Lee ◽  
Jungrak Hong ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Online Survey ◽  
Medical Application ◽  
Disease Diagnosis ◽  
Medical Field ◽  
High Quality ◽  
Inadequate Information ◽  
Development Direction ◽  
The Future ◽  
Mobile Survey

BACKGROUND It is expected that artificial intelligence (AI) will be used extensively in the medical field in the future. OBJECTIVE The purpose of this study is to investigate the awareness of AI among Korean doctors and to assess physicians’ attitudes toward the medical application of AI. METHODS We conducted an online survey composed of 11 closed-ended questions using Google Forms. The survey consisted of questions regarding the recognition of and attitudes toward AI, the development direction of AI in medicine, and the possible risks of using AI in the medical field. RESULTS A total of 669 participants completed the survey. Only 40 (5.9%) answered that they had good familiarity with AI. However, most participants considered AI useful in the medical field (558/669, 83.4% agreement). The advantage of using AI was seen as the ability to analyze vast amounts of high-quality, clinically relevant data in real time. Respondents agreed that the area of medicine in which AI would be most useful is disease diagnosis (558/669, 83.4% agreement). One possible problem cited by the participants was that AI would not be able to assist in unexpected situations owing to inadequate information (196/669, 29.3%). Less than half of the participants(294/669, 43.9%) agreed that AI is diagnostically superior to human doctors. Only 237 (35.4%) answered that they agreed that AI could replace them in their jobs. CONCLUSIONS This study suggests that Korean doctors and medical students have favorable attitudes toward AI in the medical field. The majority of physicians surveyed believed that AI will not replace their roles in the future.

scholarly journals Web development on Earth-Quake Measurement in Seismic Scale

2019 ◽  
Vol 8 (4) ◽  
pp. 5455-5457
Keyword(s):  
Seismic Wave ◽  
Earth Quake ◽  
High Sensitivity ◽  
Wide Band ◽  
Data Representation ◽  
Low Power Consumption ◽  
Electronic Feedback ◽  
New Development ◽  
Development Direction ◽  
Seismic Scale

Seismometer is an instrument that generates seismic wave signals and accurately reflect the movement of the ground. With the development of science and technology, especially when the introduction of electronic feedback technology and the development of digital seismic, the development direction of seismometer was high sensitivity, wide band, anti-interference and low power consumption. Looking forward to the new development direction of seismometer, the research development and application prospect of seismometer are widening. In this paper, the complexity faced in the seismic wave is introduced. The seismometer (newton-meter) calculated by the seismometer instrument during earth-quake has complexity in it due to large amount of magnitude therefore converting it into logarithmic moment (magnitude) becomes ease in data representation. Conversion of given seismicmoment (newton-meter) value to logarithmic magnitude should be performed by using simple logarithmic calculation and also conversion of given logarithmic magnitude value to a logical Seismic - moment value should be performed vice versa. The data visualization is enhanced easily since data of infinite value is converted into measurable finite value .Therefore convertion eases analyzing data during underground nuclear weapon test, occurance of natural tremors etc.

Progress in arginine-based gene delivery systems

2020 ◽  
Vol 8 (26) ◽  
pp. 5564-5577 ◽  
Author(s):  
Yang Zhou ◽  
Shuyan Han ◽  
Zhiqing Liang ◽  
Meng Zhao ◽  
Guiting Liu ◽  
...  
Keyword(s):  
Gene Delivery ◽  
Delivery Systems ◽  
Membrane Penetration ◽  
New Development ◽  
Development Direction ◽  
Gene Vectors

Arginine based gene delivery systems with enhanced membrane penetration and lower cytotoxicity greatly enrich the gene vectors library and outline a new development direction of gene delivery.

Research on the practice of college English classroom teaching based on Internet and artificial intelligence

2021 ◽  
pp. 1-10
Author(s):  
Jia Yunjie
Keyword(s):  
Artificial Intelligence ◽  
Classroom Teaching ◽  
Teaching Mode ◽  
Teaching Resources ◽  
College English ◽  
Teacher Student ◽  
New Development ◽  
The Face ◽  
English Classroom ◽  
Student Relationship

In the face of the arrival of artificial intelligence era, English classroom teaching is bound to change in organizational form, activity design, teacher-student relationship and technology integration. This paper combines SPOC and rain classroom, from knowledge infusion to ability improvement, individual teaching to team teaching, static resources to dynamic resources, artificial evaluation to intelligent evaluation, which brings new development opportunities for education. This paper uses the combination of Internet and artificial intelligence to analyze the teaching mixed teaching mode based on SPOC+and WeChat Rain classroom on the Internet. Based on the analysis results, we novelty propose the mixed English teaching mode based on such platforms to reveal the combination of Internet and artificial intelligence. On the second basis, we propose that future English teachers should continue to develop in the integration of teaching resources, integration of educational technology, design of in-depth learning activities, improvement of professional quality and self-cultivation of personality charm, and actively adapt to the era of artificial intelligence for College English classroom teaching.

scholarly journals Research on artificial intelligence safety prediction and intervention model based on ship driving habits

2022 ◽  
Vol 355 ◽  
pp. 03032
Author(s):  
Runnan Liu ◽  
Guangze Liu ◽  
Pengfei He ◽  
Xingzhi Lin
Keyword(s):  
Artificial Intelligence ◽  
Small World ◽  
Electrical Equipment ◽  
Intervention Model ◽  
Safe Driving ◽  
Safe Navigation ◽  
Intelligent Analysis ◽  
Development Direction ◽  
Processing Platform ◽  
Ship Safety

Based on the analysis of the causes of ship accidents, the development prospect and development direction of ship intelligent safe driving, the artificial intelligence safety prediction and intervention model is put forward. This model solves the problem of ship intelligent safety prediction by using intelligent analysis technology and network technology, and promotes the development of ship intelligence and ship safety navigation technology. Additionally, it expands the channels of obtaining information, connects the ship's mechanical and electrical equipment, collects, stores and analyzes the data reasonably, and constructs the intelligent analysis and processing platform of ship small-world data processing to implement intelligent intervention. What is impressive is that it makes ship navigation safer, more economical, more reasonable and optimized, and accelerates the development of ship artificial intelligence safe navigation.

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