scholarly journals Letter from the Editors: AI Magazine in the New Era of AI

AI Magazine ◽  
2021 ◽  
Vol 42 (3) ◽  
pp. 79-80
Author(s):  
Kristen Venable ◽  
Odd Erik Gundersen
Keyword(s):  
Artificial Intelligence ◽  
Exponential Growth ◽  
Modern Society ◽  
Research Field ◽  
Research Trends ◽  
Current Status ◽  
New Era ◽  
Global Vision ◽  
Societal Impacts ◽  
Pervasive Applications

Artificial Intelligence has witnessed an exponential growth in the last decade and, thanks to its many successful and pervasive applications, it has now become a research field with profound  societal impacts. The interest in AI has reached an all-time high from all sectors of our modern society, including industry, health, education and government. AI Magazine, founded in 1980, has documented the rise of AI from an elite and almost esoteric field to its current status of key player in modern society. Under the leadership of exceptional scientists with a global vision of the field, David Leake first and then Ashok Goel, it has provided a venue for vibrant discussion on technological transformations, research trends and fundamental breakthroughs.

scholarly journals ELEMENTS OF MUSIC BASED ON ARTIFICIAL INTELLIGENCE

2020 ◽  
Vol 4 (2) ◽  
pp. 30-32
Author(s):  
Alberto Moreno
Keyword(s):  
Artificial Intelligence ◽  
Music Theory ◽  
Research Field ◽  
Current Status ◽  
Element Analysis ◽  
Music Signal ◽  
Processing Theory ◽  
Calculation System ◽  
Music Information ◽  
Music Audio

Thus, for the current status of research and practical music audio processing needs, this paper argues, the music element analysis technology is the key to this research field, and on this basis, proposes a new framework music processing – Music calculation system, the core objective is to study intelligently and automatically identifies various elements of music information and analyze the information used in constructing the music content, and intelligent retrieval method translated. To achieve the above core research objectives, the paper advocates will be closely integrated music theory and calculation methods, the promotion of integrated use of music theory, cognitive psychology, music, cognitive science, neuroscience, artificial intelligence, signal processing theory to solve the music signal analysis identify the problem.

INTERPRETATION OF SINO-RUSSIAN CULTURE AND HUMANITIES COOPERATION IN THE NEW ERA

2020 ◽  
Vol 10 (3) ◽  
pp. 186-193
Author(s):  
REN YANYAN ◽  
Keyword(s):  
Current Status ◽  
Human Relations ◽  
New Era ◽  
Russian Culture ◽  
The People ◽  
Starting Point ◽  
Cooperative Partnership ◽  
Belt And Road ◽  
The Belt And Road

The friendship between nations lies in the mutual affinity of the people, and the people’s affinity lies in the communion of hearts. The cultural and humanities cooperation between China and Russia has a long history. In recent years, under the role of the“Belt and Road” initiative, the SCO, and the Sino-Russian Humanities Cooperation Committee, Sino-Russian culture and humanities cooperation has continued to deepen. Entering a new era, taking the opportunity to promote Sino-Russian relations into a “new era China-Russia comprehensive strategic cooperative partnership”, the development of human relations between the two countries has entered a new historical starting point, while also facing a series of problems and challenges. This article is based on the current status of Sino-Russian human relations in the new era, interprets the characteristics of Sino-Russian human relations in the new era, analyzes the problems and challenges of Sino-Russian human relations in the new era, and tries to propose solutions and solutions with a view to further developing Sino-Russian cultural and humanities relations in the new era. It is a useful reference, and provides a reference for future related research, and ultimately helps the Sino-Russian cultural and humanities relations in the new era to be stable and far-reaching.

scholarly journals Artificial intelligence and colonoscopy: Current status and future perspectives

2019 ◽  
Vol 31 (4) ◽  
pp. 363-371 ◽  
Author(s):  
Shin‐ei Kudo ◽  
Yuichi Mori ◽  
Masashi Misawa ◽  
Kenichi Takeda ◽  
Toyoki Kudo ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Current Status ◽  
Future Perspectives

scholarly journals How Do Machines Learn? Artificial Intelligence as a New Era in Medicine

2021 ◽  
Vol 11 (1) ◽  
pp. 32
Author(s):  
Oliwia Koteluk ◽  
Adrian Wartecki ◽  
Sylwia Mazurek ◽  
Iga Kołodziejczak ◽  
Andrzej Mackiewicz
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Health Care ◽  
Medical Data ◽  
General Process ◽  
New Era ◽  
Automated Evaluation ◽  
Machine Learning Applications ◽  
And Training ◽  
Current Standards

With an increased number of medical data generated every day, there is a strong need for reliable, automated evaluation tools. With high hopes and expectations, machine learning has the potential to revolutionize many fields of medicine, helping to make faster and more correct decisions and improving current standards of treatment. Today, machines can analyze, learn, communicate, and understand processed data and are used in health care increasingly. This review explains different models and the general process of machine learning and training the algorithms. Furthermore, it summarizes the most useful machine learning applications and tools in different branches of medicine and health care (radiology, pathology, pharmacology, infectious diseases, personalized decision making, and many others). The review also addresses the futuristic prospects and threats of applying artificial intelligence as an advanced, automated medicine tool.

scholarly journals Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys

2021 ◽  
Vol 13 (11) ◽  
pp. 6038
Author(s):  
Sergio Alonso ◽  
Rosana Montes ◽  
Daniel Molina ◽  
Iván Palomares ◽  
Eugenio Martínez-Cámara ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Sustainable Development Goals ◽  
Modern Society ◽  
Agenda 2030 ◽  
Model Based ◽  
Development Goals ◽  
Sustainability Challenges ◽  
New Research ◽  
Decision Making Model

The United Nations Agenda 2030 established 17 Sustainable Development Goals (SDGs) as a guideline to guarantee a sustainable worldwide development. Recent advances in artificial intelligence and other digital technologies have already changed several areas of modern society, and they could be very useful to reach these sustainable goals. In this paper we propose a novel decision making model based on surveys that ranks recommendations on the use of different artificial intelligence and related technologies to achieve the SDGs. According to the surveys, our decision making method is able to determine which of these technologies are worth investing in to lead new research to successfully tackle with sustainability challenges.

scholarly journals Integration of Digital Economy and Circular Economy: Current Status and Future Directions

2021 ◽  
Vol 13 (13) ◽  
pp. 7217
Author(s):  
Zhen Liu ◽  
Jing Liu ◽  
Mohamed Osmani
Keyword(s):  
Circular Economy ◽  
Digital Technology ◽  
Global Economy ◽  
Digital Economy ◽  
Research Field ◽  
Research Progress ◽  
Current Status ◽  
Future Research ◽  
Disruptive Effect ◽  
The European Union

Circular economy (CE) is a concept actively advocated by the European Union (EU), China, Japan, and the United Kingdom. At present, CE is considered to grant the most traction for companies to achieve sustainable development. However, CE is still rarely adopted by enterprises. As the backbone of the fourth industrial revolution, the digital economy (DE) is considered to have a disruptive effect. Studies have shown that digital technology has great potential in promoting the development of CE. Especially during the COVID-19 epidemic that has severely negatively affected the global economy, environment, and society, CE and DE are receiving high attention from policy makers, practitioners, and scholars around the world. However, the integration of CE and digital technology is a small and rapidly developing research field that is still in its infancy. Although there is a large amount of research in the fields of CE and DE, respectively, there are few studies that look into integrating these two fields. Therefore, the purpose of this paper is to explore the research progress and trends of the integration of CE and DE, and provide an overview for future research. This paper adopts a bibliometric research method, employs the Web of Science database as its literature source, and uses VOSviewer visual software to carry out keyword co-occurrence analysis, which focuses on publication trends, journal sources, keyword visualization, multidisciplinary areas, life cycle stages, and application fields.

scholarly journals Exploring Latent Topics and International Research Trends in Competency-Based Education Using Topic Modeling

2021 ◽  
Vol 11 (6) ◽  
pp. 303
Author(s):  
Seungsu Paek ◽  
Taehun Um ◽  
Namhyoung Kim
Keyword(s):  
Education Reform ◽  
International Research ◽  
Topic Modeling ◽  
Modern Society ◽  
Research Trends ◽  
Competency Development ◽  
Competency Based Education ◽  
Competency Based ◽  
Latent Topics ◽  
International Research Trends

Recently, there has been growing educational interest in competency. Global organizations, such as the United Nations (UN) and Organization for Economic Co-operation and Development (OECD), which are leading the discourse on education reform, are undertaking the lead in spreading awareness regarding competency education. Since 2015, the number of published articles on competency education has been rapidly increasing. This paper aims to provide significant implications for creating a sustainable future of competency education. A topic modeling method was used to empirically analyze latent topics and international research trends in 26,532 articles published on competency-based education (CBE). As a result of the analysis, 15 topics were derived, including “approach to competency development.” In addition, five topics including “learning skills” and “teacher training” were found to be hot topics with the increasing article publication. The rapidly changing modern society is calling for a transformation in education. We hope that the results of this study paves the way for further research exploring new directions for education, such as competency education.

Artificial intelligence in upper GI endoscopy ‐ current status, challenges and future promise

2021 ◽  
Vol 36 (1) ◽  
pp. 20-24
Author(s):  
Honggang Yu ◽  
Rajvinder Singh ◽  
Seon Ho Shin ◽  
Khek Yu Ho
Keyword(s):  
Artificial Intelligence ◽  
Current Status ◽  
Gi Endoscopy ◽  
Upper Gi ◽  
Upper Gi Endoscopy

Reinforcement Learning for Cloud Computing Digital Library

2014 ◽  
Vol 571-572 ◽  
pp. 105-108
Author(s):  
Lin Xu
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Reinforcement Learning ◽  
Digital Library ◽  
Learning Algorithms ◽  
Experimental Results ◽  
Current Status ◽  
Self Learning ◽  
New Framework

This paper proposes a new framework of combining reinforcement learning with cloud computing digital library. Unified self-learning algorithms, which includes reinforcement learning, artificial intelligence and etc, have led to many essential advances. Given the current status of highly-available models, analysts urgently desire the deployment of write-ahead logging. In this paper we examine how DNS can be applied to the investigation of superblocks, and introduce the reinforcement learning to improve the quality of current cloud computing digital library. The experimental results show that the method works more efficiency.

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