ARTIFICIAL INTELLIGENCE IN VARIOUS COUNTRIES
(RADHA SUNIL SHINDE)
Literature Review :
1. Artificial intelligence leads the reform of education models :
Artificial intelligence has become a new engine to achieve innovation driven development, Integrating artificial intelligence and education will lead to a new education development model and promote better education. Analyzing the development trends in artificial intelligence education in various countries shows the demands for training and platform construction of artificial intelligence education. It presents the characteristics of diversified technology, personalized instruction, and intelligent student assessment. ( Qu, et al (2022)
2. Artificial intelligence and unemployment an international evidence
This review examines the possible effect of artificial intelligence (AI) on unemployment using a broad database of Al- related patents in 40 developed and developing markets from 2000 to 2019. TThe study contributes to the existing literature with several findings. First, results from analysis confirm the non-linear relationship between artificial intelligence and unemployment depending on the threshold of inflation in general, artificial intelligence increases unemployment until a certain inflation threshold is attained, and then the effect reduces afterwards. Second, the smooth mechanism employed in this analysis can capture individual estimates varying amongst countries over time.( Phụ ,et al (2022)
3. Artificial Intelligence: Past, Present and Future :
The article examines the evolution of the concept of artificial intelligence (AI) and the impact of different approaches on multilateral regulation agenda. The author analyzes correlation between the adoption of Al and the resulting intellectual property (IP) objects. A comparative analysis of various Al systems based on the modern classification is carried out as well. Countries that fail to devote resources to creating favorable framework for Al implementation today and run the risk of lagging behind in technology. (Soldatenko, 2020)
4. Artificial intelligence (AI) – The Technology That Shapes The World :
The review shows trends, analyzes and perceptions of Artificial Intelligence with pros and cons of its integration in all areas of socio-economic life. from the risk of mass unemployment to the use of autonomous robots by organizations or criminal states, research centers in robotics aim to identify possible threats, in a few decades now, robots and computers could surpass the thousands of years of evolution that generated their perception and intelligence(Dobrescu, et al(2018)
5. Review and prospect for vegetable grafting robot and relevant key technologies :
Based on the six main grafting technologies, this review deeply summarized and analyzed the research status, technical characteristics, and development trends of vegetable grafting robots developed by various countries in the world. it also focused on the design methods and characteristics of key components such as seedling picking device, clamping device, and cutting device of vegetable grafting robots in detail. Then, the application of machine vision in the grafting robot was compared from the aspects of seed information feature recognition, automatic seedling classification, seedling state detection, and auxiliary grafting. As a result, it is believed that the intelligence degree of vegetable grafting robots needs to be improved, and its research and development fail to integrate with the seedling biotechnology, which leads to its poor universality (yan, et al (2022)
6. Students Engagement Detection in online learning during COVID 19 pandemic using R programming language :
Review shows that Covid-19 was a serious issue, which was outspread all over the world. so people maintaining social distance to prevent it. Government of every country announced lockdown to the respective countries to stop its rapid spread. For this reason, most of the sectors especially the education sector is going through a crisis. It was very much tough to continue study through online rather than intuitional class. Not only students but also the teachers also had faced many problems to do the online class properly. In online classes, teachers had to identified the students were present or not. If the students turn on their webcam, then the teachers can take their attendance easily. therefore researchers tried to develop a prototype using R programming language and machine learning tools that can detect and recognize students face easily that might help teachers to take attendance without any hassle(Kabir, et al (2021)
7. Current and future trends of information Technology and sustainability in logistics outsourcing
This review aims to establish trends in technology and sustainability in logistics outsourcing and identify the important elements of logistics outsourcing. Research on technology and sustainability in logistics outsourcing is growing. especially in developed countries, Current research is on reverse logistics, circular economy, and green logistics; the latter is likely to dominate the future, focusing on risk management, pollution control, and innovation through advanced technologies such as artificial intelligence, machine learning, and big data. This research contributes to logistics management theory by identifying the elements of logistics outsourcing and presenting a bibliometric result to guide future research on sustainability and technology capabilities in logistics outsourcing (mageto, 2022)
8. Evolutionary Trends of Global Digital Education via Knowledge Graph analysis :
Digital education transformation has become a new hotspot of great interest in countries around the world and a major direction for education reform practices. the USA, England. Spain, Australia, and Germany have the highest number of publications Open Univ is the institution with the most publications digital education’s research hotspots are mainly focused on interdisciplinary held practice research and adaptive education research based on big data support. The findings of this study are useful to readers for understanding the full picture of digital education research so that researchers can conduct more -depth and targeted research to promote better development of digital education(Zhou, 2022)
9. Technology entrepreneurs of the Russian origin: education, geography, industries :
The review study analyzes the educational trajectories of the founders, the connections of headquarters’ locations with origins of the founders, the profiles of the founders (age, work experience and other characteristics). The role of universities in the education process of technological entrepreneurs is revealed, including the potential for generating technological entrepreneurs in various regions of the country. Results show that success in attracting investment is positively affected by the early experience in launching a startup (university years), as well as by technical education. The authors state the difference in the industry structure of startups created by the Russians from the world average in favor of IT, robotics, and artificial intelligence to the detriment of medicine, trade. and business services. The conclusion is universities in such cities as St. Petersburg. Yekaterinburg, Novosibirsk are poorly using the potential of generating technological entrepreneurs ( D, 2022)
10. An optimized gradient boosting model by genetic algorithm for forecasting crude oil production :
Artificial Intelligence (AI)-based techniques are promising that have been applied successfully to several sectors and are capable of being applied to different stages of oil exploration and production. The proposed optimized model was applied to forecast crude oil in several countries, including the top producers and others with less production. The GA-GB model of crude oil forecasting was successfully developed, trained, and tested to provide excellent forecasting of crude oil production. In the experiment, three different actual datasets are used: crude oil production (OProd), crude oil price (OPrice), and oil demand (OD) acquired from various sources. The GA-GB model outperforms five regression models, including the Bagging regressor, KNN regressor, MLP regressor, RF regressor, and Lasso regressor(Alkhammash, 2022)
CONCLUSION
Today’s largest and most successful enterprises have used Artificial Intelligence (AI) to improve their operations and gain advantage over their competitors.
The role of Al will be increasing over time and will contribute profoundly to economic, social and cultural changes. AI is the one of the most advanced technologies in the development of today’s science, and for that, the big robotics companies are investing colossal amounts to further develop and integrate them into their products.
people using artificial intelligence because people do mistake but machine cannot do mistake so the in here the error rate is low.
Thus, Artificial Intelligence helps and aids business, trade, commerce, industry, banking, finance, healthcare, education and more other spheres of human life.
REFERENCES-
1. Alkhammash, Eman H. (2022). “An Optimized Gradient Boosting Model by Genetic Algorithm for Forecasting Crude Oil Production,” Energies, MDPI, vol. 15, September2022, Saudi Arabia,
2. Dobrescu, Emilian M. (2018). “Artificial Intelligence (Ai) – The Technology That Shapes The World,” Global Economic Observer, “Nicolae Titulescu” University of Bucharest, Faculty of Economic Sciences;Institute for World Economy of the Romanian Academy, vol.6 , December2018, Romania,
3. D, Tolmachev. (2022). “Technological entrepreneurs of the Russian origin: Education, geography, industries,” Journal of the New Economic Association, New Economic Association, vol. 53, August2022, Russia,
4. Kabir, Ahmed Imran, (2021). “Students Engagement Detection in Online Learning During Covid-19 Pandemic Using R Programming Language,” Informatica Economica, Academy of Economic Studies – Bucharest, Romania, vol. 25, June2021, Romania,
5. Mageto, Joash (2022). “Current and Future Trends of Information Technology and Sustainability in Logistics Outsourcing,” Sustainability, MDPI, vol. 14, June2022, South Africa,
6. Phu, Nguyen Quoc.(2022). “Artificial intelligence and unemployment:An international evidence,” Structural Change and Economic Dynamics, Elsevier, vol. 63, April2022, Kenya,
7. Qu, Jianjing.(2022). “Artificial intelligence leads the reform of education models,” Systems Research and Behavioral Science, Wiley Blackwell, vol. 39, May2022, China,
8. Soldatenko, Daria Mikhailovna. (2020) “Artificial Intelligence: Past, Present and Future,” Russian Foreign Economic Journal, Russian Foreign Trade Academy Ministry of economic development of the Russian Federation, Vol no. 9, September2020, Russia,
9. Yan Guoping, (2022). “Review and Prospect for Vegetable Grafting Robot and Relevant Key Technologies,” Agriculture, MDPI, vol. 12, September2022, China,
10. Zhou , Jincheng. (2022). “Research Status, Hotspots, and Evolutionary Trends of Global Digital Education via Knowledge Graph Analysis,” Sustainability, MDPI, vol. 14, November2022, China,