scholarly journals Guidance for Acupuncture Robot with Potentially Utilizing Medical Robotic Technologies

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Tiancheng Xu ◽  
Youbing Xia
Keyword(s):  
Artificial Intelligence ◽  
Clinical Trial ◽  
Binocular Vision ◽  
Future Development ◽  
Force Feedback ◽  
Development Trends ◽  
Real Acupuncture ◽  
The World ◽  
Coordination Framework ◽  
Robotic Technologies

Acupuncture is gaining increasing attention and recognition all over the world. However, a lot of physical labor is paid by acupuncturists. It is natural to resort to a robot which can improve the accuracy as well as the efficacy of therapy. Several teams have separately developed real acupuncture robots or related technologies and even went to the stage of clinical trial and then achieved success commercially. A completed clinical practical acupuncture robot is not far from reach with the combination of existing mature medical robotic technologies. A hand-eye-brain coordination framework is proposed in this review to integrate the potential utilizing technologies including force feedback, binocular vision, and automatic prescription. We should take acupuncture prescription with artificial intelligence and future development trends into account and make a feasible choice in development of modern acupuncture.

scholarly journals Dynamics in the Creative Sector between Rome and the Sea

2017 ◽  
Vol 19 (1) ◽  
pp. 45-59
Author(s):  
Keti Lelo
Keyword(s):  
Future Development ◽  
Metropolitan Areas ◽  
Development Trends ◽  
General Process ◽  
Productive Activities ◽  
The World ◽  
The Subject

Over the last fifty years the tendency towards a dispersion of productive activities that emerged with globalisation and the advent of telematics have fuelled processes that are changing the structure of metropolitan areas across the world. Against the background of the general process of metropolisation, it is interesting nowadays to study the characteristics, structure and development trends of a vast “hybrid” area that has grown up around the established city of Rome. The subject of this work is an analysis of the creative sector between Rome and the sea, and the potential for future development in this area.

scholarly journals Technological Answerability and the Severance Problem: Staying Connected by Demanding Answers

2021 ◽  
Vol 27 (5) ◽  
Author(s):  
Daniel W. Tigard
Keyword(s):  
Artificial Intelligence ◽  
Moral Responsibility ◽  
The World ◽  
Contemporary Work ◽  
Robotic Technologies ◽  
Meaningful Lives

AbstractArtificial intelligence (AI) and robotic technologies have become nearly ubiquitous. In some ways, the developments have likely helped us, but in other ways sophisticated technologies set back our interests. Among the latter sort is what has been dubbed the ‘severance problem’—the idea that technologies sever our connection to the world, a connection which is necessary for us to flourish and live meaningful lives. I grant that the severance problem is a threat we should mitigate and I ask: how can we stave it off? In particular, the fact that some technologies exhibit behavior that is unclear to us seems to constitute a kind of severance. Building upon contemporary work on moral responsibility, I argue for a mechanism I refer to as ‘technological answerability’, namely the capacity to recognize human demands for answers and to respond accordingly. By designing select devices—such as robotic assistants and personal AI programs—for increased answerability, we see at least one way of satisfying our demands for answers and thereby retaining our connection to a world increasingly occupied by technology.

Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 5. Introduction to Logic

Discourse ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 109-117
Author(s):  
O. M. Polyakov
Keyword(s):  
Artificial Intelligence ◽  
Mathematical Logic ◽  
Natural Language ◽  
Semantic Interpretation ◽  
General View ◽  
World Model ◽  
Semantic Approach ◽  
Natural Languages ◽  
The World ◽  
Linguistic Aspect

Introduction. The article continues the series of publications on the linguistics of relations (hereinafter R–linguistics) and is devoted to an introduction to the logic of natural language in relation to the approach considered in the series. The problem of natural language logic still remains relevant, since this logic differs significantly from traditional mathematical logic. Moreover, with the appearance of artificial intelligence systems, the importance of this problem only increases. The article analyzes logical problems that prevent the application of classical logic methods to natural languages. This is possible because R-linguistics forms the semantics of a language in the form of world model structures in which language sentences are interpreted.Methodology and sources. The results obtained in the previous parts of the series are used as research tools. To develop the necessary mathematical representations in the field of logic and semantics, the formulated concept of the interpretation operator is used.Results and discussion. The problems that arise when studying the logic of natural language in the framework of R–linguistics are analyzed. These issues are discussed in three aspects: the logical aspect itself; the linguistic aspect; the aspect of correlation with reality. A very General approach to language semantics is considered and semantic axioms of the language are formulated. The problems of the language and its logic related to the most General view of semantics are shown.Conclusion. It is shown that the application of mathematical logic, regardless of its type, to the study of natural language logic faces significant problems. This is a consequence of the inconsistency of existing approaches with the world model. But it is the coherence with the world model that allows us to build a new logical approach. Matching with the model means a semantic approach to logic. Even the most General view of semantics allows to formulate important results about the properties of languages that lack meaning. The simplest examples of semantic interpretation of traditional logic demonstrate its semantic problems (primarily related to negation).

THE GENESIS OF CONSERVATIVE IDEOLOGY, DEVELOPMENT TRENDS AND PROSPECTS IN THE POLITICAL REFORM OF MODERN COUNTRIES (ON THE EXAMPLE OF RUSSIA AND FRANCE)

2020 ◽  
Vol 10 (4) ◽  
pp. 38-43
Author(s):  
MARIETA EPREMYAN ◽  
Keyword(s):  
Political Reform ◽  
Point Of View ◽  
The Political ◽  
Development Trends ◽  
Conservative Ideology ◽  
The World ◽  
Christian Conservatism ◽  
The Future ◽  
Conservative Policy ◽  
Depth Interviews

The article examines the epistemological roots of conservative ideology, development trends and further prospects in political reform not only in modern Russia, but also in other countries. The author focuses on the “world” and Russian conservatism. In the course of the study, the author illustrates what opportunities and limitations a conservative ideology can have in political reform not only in modern Russia, but also in the world. In conclusion, it is concluded that the prospect of a conservative trend in the world is wide enough. To avoid immigration and to control the development of technology in society, it is necessary to adhere to a conservative policy. Conservatism is a consolidating ideology. It is no coincidence that the author cites as an example the understanding of conservative ideology by the French due to the fact that Russia has its own vision of the ideology of conservatism. If we say that conservatism seeks to preserve something and respects tradition, we must bear in mind that traditions in different societies, which form some kind of moral imperatives, cannot be a single phenomenon due to different historical destinies and differing religious views. Considered from the point of view of religion, Muslim and Christian conservatism will be somewhat confrontational on some issues. The purpose of the work was to consider issues related to the role, evolution and prospects of conservative ideology in the political reform of modern countries. The author focuses on Russia and France. To achieve this goal, the method of in-depth interviews with experts on how they understand conservatism was chosen. Already today, conservatism is quite diverse. It is quite possible that in the future it will transform even more and acquire new reflections.

The Future of Work and the Changing Workplace

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Artificial Intelligence ◽  
Machine Intelligence ◽  
Political Issue ◽  
Digital Innovation ◽  
Future Of Work ◽  
The Past ◽  
The World ◽  
Public Debates ◽  
The Future ◽  
Market Opportunities

The world of work has been impacted by technology. Work is different than it was in the past due to digital innovation. Labor market opportunities are becoming polarized between high-end and low-end skilled jobs. Migration and its effects on employment have become a sensitive political issue. From Buffalo to Beijing public debates are raging about the future of work. Developments like artificial intelligence and machine intelligence are contributing to productivity, efficiency, safety, and convenience but are also having an impact on jobs, skills, wages, and the nature of work. The “undiscovered country” of the workplace today is the combination of the changing landscape of work itself and the availability of ill-fitting tools, platforms, and knowledge to train for the requirements, skills, and structure of this new age.

scholarly journals The New Trend of State Estimation: From Model-Driven to Hybrid-Driven Methods

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2085
Author(s):  
Xue-Bo Jin ◽  
Ruben Jonhson Robert RobertJeremiah ◽  
Ting-Li Su ◽  
Yu-Ting Bai ◽  
Jian-Lei Kong
Keyword(s):  
Kalman Filter ◽  
State Estimation ◽  
Future Development ◽  
Data Driven ◽  
Estimation Methods ◽  
Multiple Model ◽  
Development Trends ◽  
Research Results ◽  
Model Driven ◽  
Model Based

State estimation is widely used in various automated systems, including IoT systems, unmanned systems, robots, etc. In traditional state estimation, measurement data are instantaneous and processed in real time. With modern systems’ development, sensors can obtain more and more signals and store them. Therefore, how to use these measurement big data to improve the performance of state estimation has become a hot research issue in this field. This paper reviews the development of state estimation and future development trends. First, we review the model-based state estimation methods, including the Kalman filter, such as the extended Kalman filter (EKF), unscented Kalman filter (UKF), cubature Kalman filter (CKF), etc. Particle filters and Gaussian mixture filters that can handle mixed Gaussian noise are discussed, too. These methods have high requirements for models, while it is not easy to obtain accurate system models in practice. The emergence of robust filters, the interacting multiple model (IMM), and adaptive filters are also mentioned here. Secondly, the current research status of data-driven state estimation methods is introduced based on network learning. Finally, the main research results for hybrid filters obtained in recent years are summarized and discussed, which combine model-based methods and data-driven methods. This paper is based on state estimation research results and provides a more detailed overview of model-driven, data-driven, and hybrid-driven approaches. The main algorithm of each method is provided so that beginners can have a clearer understanding. Additionally, it discusses the future development trends for researchers in state estimation.

scholarly journals Putting the world back to work: An expert system using big data and artificial intelligence in combating the spread of COVID-19 and similar contagious diseases

Work ◽  
2020 ◽  
Vol 67 (3) ◽  
pp. 557-572
Author(s):  
Said Tkatek ◽  
Amine Belmzoukia ◽  
Said Nafai ◽  
Jaafar Abouchabaka ◽  
Youssef Ibnou-ratib
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Expert System ◽  
Population Monitoring ◽  
High Definition ◽  
Contagious Diseases ◽  
The World ◽  
General Guide ◽  
The Impact ◽  
Back To Work

BACKGROUND: To combat COVID-19, curb the pandemic, and manage containment, governments around the world are turning to data collection and population monitoring for analysis and prediction. The massive data generated through the use of big data and artificial intelligence can play an important role in addressing this unprecedented global health and economic crisis. OBJECTIVES: The objective of this work is to develop an expert system that combines several solutions to combat COVID-19. The main solution is based on a new developed software called General Guide (GG) application. This expert system allows us to explore, monitor, forecast, and optimize the data collected in order to take an efficient decision to ensure the safety of citizens, forecast, and slow down the spread’s rate of COVID-19. It will also facilitate countries’ interventions and optimize resources. Moreover, other solutions can be integrated into this expert system, such as the automatic vehicle and passenger sanitizing system equipped with a thermal and smart High Definition (HD) cameras and multi-purpose drones which offer many services. All of these solutions will facilitate lifting COVID-19 restrictions and minimize the impact of this pandemic. METHODS: The methods used in this expert system will assist in designing and analyzing the model based on big data and artificial intelligence (machine learning). This can enhance countries’ abilities and tools in monitoring, combating, and predicting the spread of COVID-19. RESULTS: The results obtained by this prediction process and the use of the above mentioned solutions will help monitor, predict, generate indicators, and make operational decisions to stop the spread of COVID-19. CONCLUSIONS: This developed expert system can assist in stopping the spread of COVID-19 globally and putting the world back to work.

scholarly journals Representations, Affordances, and Interactive Systems

2021 ◽  
Vol 5 (5) ◽  
pp. 23
Author(s):  
Robert Rowe
Keyword(s):  
Artificial Intelligence ◽  
Cognitive Science ◽  
Data Structures ◽  
Digital Computer ◽  
Mental Representations ◽  
Interactive Systems ◽  
Algorithmic Composition ◽  
The World ◽  
History Of

The history of algorithmic composition using a digital computer has undergone many representations—data structures that encode some aspects of the outside world, or processes and entities within the program itself. Parallel histories in cognitive science and artificial intelligence have (of necessity) confronted their own notions of representations, including the ecological perception view of J.J. Gibson, who claims that mental representations are redundant to the affordances apparent in the world, its objects, and their relations. This review tracks these parallel histories and how the orientations and designs of multimodal interactive systems give rise to their own affordances: the representations and models used expose parameters and controls to a creator that determine how a system can be used and, thus, what it can mean.

Transformation and Rebirth of “Wayao” Creative Park

2014 ◽  
Vol 584-586 ◽  
pp. 95-98
Author(s):  
Xiao Xia Qiu ◽  
Qing Zhao
Keyword(s):  
Future Development ◽  
Present Status ◽  
Industrial Park ◽  
Creative Industry ◽  
Development Trends ◽  
Critical Situation ◽  
Heritage Industry

In the critical situation that industrial architectures might be removed, transformed, renovated or just disappeared naturally, a combination of creative industry with heritage industry can bring new vitality to the disappearing architectures. This paper analyzes Wayao Creative Industrial Park which is transformed from Shanxi Polyester Plant in such perspectives as planning, architecture and landscape, to fully demonstrate its present status and future development trends.

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