scholarly journals A Novel Paradigm to Design Personalized Derived Images of Art Paintings Using an Intelligent Emotional Analysis Model

2021 ◽  
Vol 12 ◽  
Author(s):  
Yingjing Duan ◽  
Jie Zhang ◽  
Xiaoqing Gu
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
New Technology ◽  
New Method ◽  
Facial Emotion ◽  
Design System ◽  
Analysis Model ◽  
Emotion Analysis ◽  
New Ideas ◽  
User Demand

With the development of artificial intelligence (AI), it is imperative to combine design methods with new technologies. From the perspective of the personalized design of derived images of art paintings, this study analyzes the new user demand generated by the current situation and background of personalized design, puts forward a new method of derivative design based on AI emotion analysis, verifies the feasibility of the new method by constructing a personalized design system of derived images of art paintings driven by facial emotion features, and explores the method of combining AI emotion recognition, emotion analysis, and personalized design. This study provides new ideas for the design of art derivatives for the future with massive personalized demand. Thinking and practicing from the perspective of the development of new technology will promote the change of design paradigms in the digital age.

scholarly journals Constitutional democracy and technology in the age of artificial intelligence

2018 ◽  
Vol 376 (2133) ◽  
pp. 20180089 ◽  
Author(s):  
Paul Nemitz
Keyword(s):  
Artificial Intelligence ◽  
Rule Of Law ◽  
New Technologies ◽  
New Technology ◽  
Constitutional Democracy ◽  
Theme Issue ◽  
Internet Economy ◽  
Core Elements ◽  
Technological Impact ◽  
The Relationship

Given the foreseeable pervasiveness of artificial intelligence (AI) in modern societies, it is legitimate and necessary to ask the question how this new technology must be shaped to support the maintenance and strengthening of constitutional democracy. This paper first describes the four core elements of today's digital power concentration, which need to be seen in cumulation and which, seen together, are both a threat to democracy and to functioning markets. It then recalls the experience with the lawless Internet and the relationship between technology and the law as it has developed in the Internet economy and the experience with GDPR before it moves on to the key question for AI in democracy, namely which of the challenges of AI can be safely and with good conscience left to ethics, and which challenges of AI need to be addressed by rules which are enforceable and encompass the legitimacy of democratic process, thus laws. The paper closes with a call for a new culture of incorporating the principles of democracy, rule of law and human rights by design in AI and a three-level technological impact assessment for new technologies like AI as a practical way forward for this purpose. This article is part of a theme issue ‘Governing artificial intelligence: ethical, legal, and technical opportunities and challenges’.

DOI Theoretical Framework

2018 ◽  
pp. 144-166
Keyword(s):  
Diffusion Of Innovations ◽  
Fossil Fuels ◽  
New Technologies ◽  
New Technology ◽  
Cost Effective ◽  
Theoretical Framework ◽  
Adaptation To Climate Change ◽  
New Ideas ◽  
The Masses ◽  
Structured Means

Change is not easy! People adhere to old routines and habits tenaciously. Most people are slow to accept new ideas, new products, in short, innovations. When it comes to new technologies that can aid in adaptation to climate change, there is fierce resistance from farmers (to sustainable agriculture), from the fossil fuels industries (to sustainable energy), from developers (to going green), and the list goes on. While a new technology does involve a certain investment of time and money at first, it is cost effective and profitable in the long term. When it comes to sustainability, nothing less than the future of our planet is at stake, so it is incumbent upon us to find a way to “sell” the innovations to the masses. The Diffusion of Innovations (DOI) Theoretical Framework provides an effective, structured means of doing this; its efficacy has been established for hundreds of innovations, and it is particularly suited to technologies.

scholarly journals Innovative Trends in Implant Dentistry Training and Education: A Narrative Review

2019 ◽  
Vol 8 (10) ◽  
pp. 1618 ◽  
Author(s):  
Ferro ◽  
Nicholson ◽  
Koka
Keyword(s):  
Artificial Intelligence ◽  
Augmented Reality ◽  
Blended Learning ◽  
Teaching And Learning ◽  
New Technologies ◽  
Mixed Reality ◽  
New Technology ◽  
Training And Education ◽  
Innovative Methods ◽  
Implant Dentistry

Background: The field of implant dentistry education is rapidly evolving as new technologies permit innovative methods to teach the fundamentals of implant dentistry. Methods: Literature from the fields of active learning, blended learning, augmented reality, artificial intelligence, haptics, and mixed reality were reviewed and combined with the experience and opinions of expert authors. Both positive and negative aspects of the learning methods are presented. Results and Conclusion: The fundamental objectives of teaching and learning remain unchanged, yet the opportunities to reach larger audiences and integrate their learning into active experiences are evolving due to the introduction of new teaching and learning methodologies. The ability to reach a global audience has never been more apparent. Nevertheless, as much as new technology can be alluring, each new method comes with unique limitations.

Artificial Intelligence as Driver for SME Competitiveness

2021 ◽  
pp. 108-125
Author(s):  
Nicola Del Sarto ◽  
Andrea Piccaluga
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
New Technology ◽  
Four Dimensions ◽  
Artificial Intelligence Technology ◽  
Key Features ◽  
The Way

Artificial intelligence is profoundly changing the way in which companies compete and do business. In particular, artificial intelligence can represent a very interesting opportunity for small and medium-sized enterprises, which are constantly looking for new technologies to be able to remain competitive in a turbulent market. However, research exploring how SMEs may successfully adopt artificial intelligence technology are missing. To address this gap, the authors reviewed the literature on artificial intelligence and identified four key features that SMEs need to consider when implementing this technology represented by people, processes, products, and customers. After that they described four cases of Italian SMEs which have adopted successfully this new technology taking into account one of the four dimensions. The study contributes to the literature on artificial intelligence and SMEs and may be helpful for managers who want to adopt this technology within their company.

Students’ emotional analysis on ideological and political teaching classes based on artificial intelligence and data mining

2020 ◽  
pp. 1-9
Author(s):  
Hou Yuzhong
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Analysis Model ◽  
Emotion Analysis ◽  
Artificial Intelligence Technology ◽  
The Individual ◽  
Study Designs ◽  
External Stimuli ◽  
Transfer Probability ◽  
Learning Data

Ideological and political teaching emotion is an important reflection of students’ learning achievements. At present, the effect of emotion analysis of ideological and political students is poor. This article builds on the artificial intelligence technology and combines machine learning data mining ideas to construct a student emotion analysis model in the ideological and political classroom. Starting from the individual, based on the individual’s own emotions and external stimuli, this article carries out emotion transfer probability statistics on the dialogues with emotions marked, and obtains the individual’s emotion transfer matrix. After the corresponding model is constructed, it can be applied to practice, and the research is conducted from the aspects of systematic emotion analysis effect and teaching promotion effect. In addition, this study designs a controlled experiment to analyze the effects of the model. The research results show that the model constructed in this paper has good performance.

Artificial Intelligence in Medicine

2021 ◽  
pp. 49-68
Author(s):  
Gia Merlo
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
New Technologies ◽  
New Technology ◽  
Technological System ◽  
Medical Professionals ◽  
Human Intelligence ◽  
Connected Health ◽  
The Future

Disruptive forces are challenging the future of medicine. One of the key forces bringing change is the development of artificial intelligence (AI). AI is a technological system designed to perform tasks that are commonly associated with human intelligence and ability. Machine learning is a subset of AI, and deep learning is an aspect of machine learning. AI can be categorized as either applied or generalized. Machine learning is key to applied AI; it is dynamic and can become more accurate through processing different results. Other new technologies include blockchain, which allows for the storage of all of patients’ records to create a connected health ecosystem. Medical professionals ought to be willing to accept new technology, while also developing the skills that technology will not be able to replicate.

Optimal system design of language training strategy based on artificial intelligence

2020 ◽  
pp. 1-11
Author(s):  
Jianling Guo ◽  
Jia Liu
Keyword(s):  
Artificial Intelligence ◽  
Speech Recognition ◽  
Foreign Students ◽  
Chinese Culture ◽  
New Technologies ◽  
New Technology ◽  
Rapid Development ◽  
Chinese Students ◽  
Training Strategy ◽  
Artificial Intelligence Technology

With the rapid development of China’s economy and the rapid increase in the number of Chinese learners in recent years, Chinese fever has become a common phenomenon in the global language exchange system. However, in the absence of foreign Chinese teachers at present, the development of Chinese new technology, this document uses the new computer technology to establish a Chinese teaching platform. The system is based on speech recognition technology to help foreigners learn spoken language, manuscript recognition technology and Chinese letters. foreign students in artificial intelligence technology, simulation of Chinese foreign education and training. The establishment of this system will not only help foreign students to solve the problem of Chinese learning successfully, but also make important contributions to the learning of Chinese students. Some new technologies, such as speech recognition, will be recognized by more and more Chinese students with the development of new technologies and the renewal of the system, and will make the greatest contribution to the promotion of Chinese culture.

scholarly journals Anthropology and the AI-Turn in Global Governance

AJIL Unbound ◽  
2021 ◽  
Vol 115 ◽  
pp. 294-298
Author(s):  
Maria Sapignoli
Keyword(s):  
Artificial Intelligence ◽  
International Law ◽  
European Commission ◽  
Global Governance ◽  
Policy Making ◽  
New Technologies ◽  
New Technology ◽  
Regional Institutions ◽  
Anthropological Theory ◽  
Artificial Intelligence Systems

Under the banner “AI (artificial intelligence) for good,” new technologies are becoming more and more central to the agendas of global and regional institutions, as technologies to be embraced and regulated at the same time. This is indicated by the 2018 UN Secretary General's Strategy on New Technology, and by the most recent European Commission proposal to regulate artificial intelligence systems. In this essay, I discuss how anthropology and its ethnographic method could contribute to our understanding of the AI-turn in global governance, by shedding greater light on the effects that the use of this technology has for society, the work of institutions, and the production and application of international law. I argue that engaging ethnographically with AI techniques and knowledge could also bring about a transformation in governance, policy-making, and anthropological theory.

scholarly journals Research on the task models to cooperate with the human and new technology: Evaluating the impacts on labour market

Impact ◽  
2021 ◽  
Vol 2021 (2) ◽  
pp. 73-75
Author(s):  
Isamu Yamamoto
Keyword(s):  
Artificial Intelligence ◽  
Job Satisfaction ◽  
Information Technology ◽  
Private Sector ◽  
Labour Market ◽  
New Technologies ◽  
New Technology ◽  
Well Being ◽  
Future Of Work ◽  
New Information

New information technology systems such as Artificial Intelligence (AI) are poised to disrupt nearly every aspect of employment from wages and job availability to stress and job-satisfaction. It is important to understand all aspects of a new technological introduction into the workplace, both good and bad. How governments and the private sector balance the positive and negative aspects of this latest technological disruption will be crucial to the future of work and the well-being of workers. Yamamoto, a labour economist and professor in the Faculty of Business and Commerce at Keio University in Japan, is carrying out research to better understand the impacts of new technologies like AI on workers and their well-being.

scholarly journals Research on Emotion Analysis of Chinese Literati Painting Images Based on Deep Learning

2021 ◽  
Vol 12 ◽  
Author(s):  
Jie Zhang ◽  
Yingjing Duan ◽  
Xiaoqing Gu
Keyword(s):  
Deep Learning ◽  
New Technology ◽  
Salient Feature ◽  
Suitable Model ◽  
Emotion Analysis ◽  
Literati Painting ◽  
Cultural Research ◽  
New Ideas ◽  
Improved Model ◽  
Picture Content

Starting from a pure-image perspective, using machine learning in emotion analysis methods to study artwork is a new cross-cutting approach in the field of literati painting and is an effective supplement to research conducted from the perspectives of aesthetics, philosophy, and history. This study constructed a literati painting emotion dataset. Five classic deep learning models were used to test the dataset and select the most suitable model, which was then improved upon for literati painting emotion analysis based on accuracy and model characteristics. The final training accuracy rate of the improved model was 54.17%. This process visualizes the salient feature areas of the picture in machine vision, analyzes the visualization results, and summarizes the connection law between the picture content of the Chinese literati painting and the emotion expressed by the painter. This study validates the possibility of combining deep learning with Chinese cultural research, provides new ideas for the combination of new technology and traditional Chinese literati painting research, and provides a better understanding of the Chinese cultural spirit and advanced factors.

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