scholarly journals AI and Digital Platforms: The Technology [Part 2]

2021 ◽  
Author(s):  
Örjan Larsson
Keyword(s):  
Dynamic Range ◽  
Technology Development ◽  
Technological Development ◽  
Full Potential ◽  
Learning Technology ◽  
Digital Platforms ◽  
Practical Applications ◽  
Strategic Innovation ◽  
Ongoing Work ◽  
Innovation Projects

This essay aims to describe the dynamics at play in the field of industrial AI, where the significant efficiency potential is driving demand. There are rapid technological development and increasing use of AI technology within the industry. Meanwhile, practical applications rather than technical development itself are creating value. The primary purpose of the article is to spread knowledge to industry. It is also intended to form the basis of the Swedish innovation program PiiAs ongoing work around open calls and targeted strategic innovation projects. The basic approach taken is to investigate both industry demand for AI and how the supply of technology is developing. AI takes in a broad and dynamic range of concepts, but it should also be considered in the even broader context of industrial digitalisation. It is not just a question of technology development, but equally about application knowledge. Realising the full potential of AI requires the ability for change within individual companies, but also to handle exchanges and interactions in changing ecosystems. The article has been divided into two sections: The Market, in which we assess the development and the consequences on the factory floor; and The Technology, which provides a more in-depth understanding of the structures of industrial IT and machine-learning technology. The article concludes with four practical examples from the industry.

scholarly journals AI and Digital Platforms: The Market [Part 1]

2021 ◽  
Author(s):  
Örjan Larsson
Keyword(s):  
Machine Learning ◽  
Dynamic Range ◽  
Technological Development ◽  
Learning Technology ◽  
Basic Approach ◽  
Digital Platforms ◽  
Practical Applications ◽  
Strategic Innovation ◽  
Ongoing Work ◽  
Innovation Projects

This essay aims to describe the dynamics at play in the field of industrial AI, where the significant efficiency potential is driving demand. There are rapid technological development and increasing use of AI technology within the industry. Meanwhile, practical applications rather than technical development itself are creating value. The primary purpose of the article is to spread knowledge to industry. It is also intended to form the basis of the Swedish innovation program PiiAs ongoing work around open calls and targeted strategic innovation projects. The basic approach taken is to investigate both industry demand for AI and how the supply of technology is developing. AI takes in a broad and dynamic range of concepts, but it should also be considered in an even broader context of industrial digitalisation. The article has been divided into two sections: The Market, in which we assess the development and the consequences on the factory floor; and The Technology, which provides a more in-depth understanding of the structures of industrial IT and machine-learning technology. The article concludes with four practical examples from the industry.

Prospects for Cooperation Between Russia and the Republic of Korea in the Fields of Big Data, Network and Artificial Intelligence for the Development of the Digital Economy

2021 ◽  
Vol 65 (8) ◽  
pp. 51-60
Author(s):  
Yujeong Kim
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Large Scale ◽  
Technology Development ◽  
Technological Development ◽  
Digital Economy ◽  
Republic Of Korea ◽  
Data Network ◽  
Leading Position ◽  
The Government

Today, each country has interest in digital economy and has established and implemented policies aimed at digital technology development and digital transformation for the transition to the digital economy. In particular, interest in digital technologies such as big data, 5G, and artificial intelligence, which are recognized as important factors in the digital economy, has been increasing recently, and it is a time when the role of the government for technological development and international cooperation becomes important. In addition to the overall digital economic policy, the Russian and Korean governments are also trying to improve their international competitiveness and take a leading position in the new economic order by establishing related technical and industrial policies. Moreover, Republic of Korea often refers to data, network and artificial intelligence as D∙N∙A, and has established policies in each of these areas in 2019. Russia is also establishing and implementing policies in the same field in 2019. Therefore, it is timely to find ways to expand cooperation between Russia and Republic of Korea. In particular, the years of 2020and 2021marks the 30th anniversary of diplomatic relations between the two countries, and not only large-scale events and exchange programs have prepared, but the relationship is deepening as part of the continued foreign policy of both countries – Russia’s Eastern Policy and New Northern Policy of Republic of Korea. Therefore, this paper compares and analyzes the policies of the two countries in big data, 5G, and artificial intelligence to seek long-term sustainable cooperation in the digital economy.

Designing the landscape for technological development in neonatal neurocritical care

2018 ◽  
Vol 4 (4) ◽  
pp. 163-171
Author(s):  
Colin Hamilton ◽  
Robert Phaal ◽  
Mita Brahmbhatt ◽  
Peter Jarritt ◽  
Topun Austin
Keyword(s):  
Real Time ◽  
Neurocritical Care ◽  
Brain Injuries ◽  
Unmet Needs ◽  
Technology Development ◽  
Clinical Skills ◽  
Technological Development ◽  
Newborn Infants ◽  
Patient Pathway ◽  
The Impact

ObjectivesTo identify current ‘gaps’ in clinical practice or therapeutic knowledge of the care of neonatal neurointensive care patients and to determine the impact healthcare technologies can have on improving outcomes.DesignThe Cambridge Institute for Manufacturing’s (IfM) roadmapping methodology.SettingCambridge, UK.Participants16 delegates were selected through professional networks. They provided coverage of academia and clinical skills, as well as expertise in neonatology, engineering and technology development.Main outcome measuresA ‘strategic landscape’ has been developed with ‘landmarks’ identified as ‘trends or drivers’, ‘patient pathway experience and unmet needs’ and ‘enabling project or resources’. Priorities were voted on by delegates.Results26 strategic ‘landmarks’ were identified, and of these 8 were considered ‘trends or drivers’, 8 ‘patient pathway experience and unmet needs’ and 10 as ‘enabling project or resources’. Of these, five priorities for the future of neonatal neurocritical care were identified by a voting process: real-time video monitoring for parents; individualised management of preterm infants in neonatal neurocritical care based on real-time multimodal monitoring; continuous electroencephalogram monitoring for early seizure diagnosis; neuroprotection: understanding basic mechanisms; and sleep measurement.ConclusionsThrough the use of the IfM methodology, a list of priorities has been developed for future work into improving the experience and possible outcomes of newborn infants with brain injuries and their families. While not an exhaustive list, it provides the beginning for a national conversation on the topic.

scholarly journals Metal-Water mixtures for Propulsion and Energy-Conversion Applications: Recent Progress and Future Directions

2018 ◽  
Vol 20 (1) ◽  
pp. 53 ◽  
Author(s):  
Dilip Sundaram
Keyword(s):  
Particle Size ◽  
Energy Conversion ◽  
Experimental Studies ◽  
High Energy ◽  
High Energy Density ◽  
Full Potential ◽  
Predictive Tool ◽  
Practical Applications ◽  
Relative Safety ◽  
Metal Water

The metal-water system is attractive for propulsion and energy-conversion applications. Of all metals, aluminum is attractive due to its high energy density, relative safety, and low cost. Experimental studies provide new insight on the combustion and propulsive behaviors. The burning rate is found to be a strong function of both pressure and particle size. Furthermore, there is a wide scatter in the measured pressure exponents due to differences in particle size, pressure, pH, and equivalence ratio. A major problem with Al/H2O mixtures is incomplete combustion and poor impulses, thereby rendering Al/H2O mixtures unsuitable for practical applications. Efforts to improve the performance of Al/H2O mixtures have only met with moderate success. Although experiments have revealed these new trends, not much is offered in terms of the underlying physics and mechanisms. To explore the combustion mechanisms, theoretical models based on energy balance analysis have been developed. These models involve numerous assumptions and many complexities were either ignored or treated simplistically. The model also relies on empirical inputs, which makes it more a useful guide than a predictive tool. Future works must endeavor to conduct a more rigorous analysis of metal-water combustion. Empirical inputs should be avoided and complexities must be properly treated to capture the essential physics of the problem. The model should help us properly understand the experimental trends, offer realistic predictions for unexplored conditions, and suggest guidelines and solutions in order to realize the full potential of metal-water mixtures.

scholarly journals Pengaruh Emergency Remote Learning Untuk Melihat Motivasi Belajar Anak Usia Dini

2020 ◽  
Vol 2 (2) ◽  
pp. 68-82
Author(s):  
Mardi Fitri
Keyword(s):  
Early Childhood ◽  
Online Learning ◽  
Technological Development ◽  
Learning System ◽  
Learning Motivation ◽  
Technology In Education ◽  
Learning Technology ◽  
Early Childhood Learning ◽  
The Impact ◽  
Remote Learning

ABSTRAK : Kepesatan perkembangan teknologi berdampak pada sitem pembelajaran termasuk pada anak usia dini. Penelitian ini bertujuan untuk mengetahui pengaruh emergency remote learning terhadap motivasi belajar anak usia dini. Metode penelitian menggunakan penelitian kajian literatur. Berbagai literatur tentang pembelajaran daring dihimpun dalam penelitian ini. Temuan penilitian ini yaitu, pembelajaran daring sebenarnya  dapat  membangkitkan motivasi  belajar  anak  dengan  syarat adanya dukungan dari orangtua dan pendidik, pemanfaatan media seperti  zoom  dan  lainnya  diperlukan untuk membuat pembelajaran agar lebih menarik dan pemanfaatan teknologi belajar  dalam  pendidikan  tidak  dapat  dilepaskan,  maka  perlu  adaptasi antara orangtua, peserta didik dan pendidik dalam pembelajaran daring. Hasil penelitian ini memberikan kontribusi dalam pengetahuan tentang dampak pembelajaran daring terhadap motivasi belajar anak usia dini. Rekomendasi untuk penelitian selanjutnya adalah agar melakukan penelitian eksperimen dan penelitian tindakan kelas untuk mengetahui dampak langsung dari pembelajaran daring. ABSTRACT : The rapidity of technological development has an impact on the learning system, including early childhood. This study aims to determine the effect of emergency remote learning on early childhood learning motivation. The research method used literature review research. Various literatures on online learning were collected in this study. The findings of this study are, first, online learning can actually arouse children's learning motivation on the condition that there is support from parents and educators. Second, the use of media such as zoom and others is needed to make learning more interesting. Third, the use of learning technology in education cannot be separated, it is necessary to adapt between parents, students and educators in online learning. The results of this study contribute to knowledge about the impact of online learning on early childhood learning motivation. The recommendation for further research is to carry out experimental research and classroom action research to determine the direct impact of online learning.

scholarly journals Influence of R&D and Innovation on Development in Emerging Markets

2016 ◽  
Author(s):  
Esra Soyu ◽  
Serdar Altınok ◽  
Emine Fırat
Keyword(s):  
Emerging Markets ◽  
Knowledge Creation ◽  
Technological Development ◽  
New Era ◽  
Cultural Aspects ◽  
Innovation Activities ◽  
Production Factors ◽  
Innovation Projects ◽  
The Impact

The concept of development has been interpreted in different ways from past to present. This concept was discussed previously on economic, social and cultural aspects; but now it has transformed into concepts like human capital, education, health, innovation, technological development and poverty. A country needs producing for development, and it is necessary to increase efficiency for obtaining profits from this production. At this point the inclination to R&D and innovation is increasing. Today, it is experiencing the transition of a new era. This process can be distinguished by technological change resulted from knowledge creation, innovation and R&D. In addition to the production factors, knowledge and technology have become indispensable where the importance is increasing. R&D and innovation are seen as factors which are increasing economic growth, prosperity and quality of life and which provide competitiveness and productivity growth between countries. In this study, R&D and innovation activities are evaluated and their importance are highlighted in the issue of development for emerging markets. The increasing R&D and innovation projects provided that resources are using more effectively and efficiently by contributing to the development of emerging markets. The purpose of this study is to determine the impact of R&D and innovation on development by considering sample emerging markets economies and to make the attention of the scientific community focus on these issues.

scholarly journals Prediction Model of Football World Cup Championship Based on Machine Learning and Mobile Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yanyang Bai ◽  
Xuesheng Zhang
Keyword(s):  
Machine Learning ◽  
Prediction Model ◽  
Clustering Algorithm ◽  
Technological Development ◽  
Rapid Development ◽  
Evidence Theory ◽  
Predictive Analysis ◽  
Learning Technology ◽  
World Cup ◽  
Python Programming

With the technological development and change of the times in the current era, with the rapid development of science and technology and information technology, there is a gradual replacement in the traditional way of cognition. Effective data analysis is of great help to all societies, thereby drive the development of better interests. How to expand the development of the overall information resources in the process of utilization, establish a mathematical analysis–oriented evidence theory system model, improve the effective utilization of the machine, and achieve the goal of comprehensively predicting the target behavior? The main goal of this article is to use machine learning technology; this article defines the main prediction model by python programming language, analyzes and forecasts the data of previous World Cup, and establishes the analysis and prediction model of football field by K-mean and DPC clustering algorithm. Python programming is used to implement the algorithm. The data of the previous World Cup football matches are selected, and the built model is used for the predictive analysis on the Python platform; the calculation method based on the DPC-K-means algorithm is used to determine the accuracy and probability of the variables through the calculation results, which develops results in specific competitions. Research shows how the machine wins and learns the efficiency of the production process, and the machine learning process, the reliability, and accuracy of the prediction results are improved by more than 55%, which proves that mobile algorithm technology has a high level of predictive analysis on the World Cup football stadium.

Development vectors and foreign experience of information technologies in the agro-industrial complex of Russia and Belarus

2021 ◽  
pp. 49-61
Author(s):  
I. L. Kovalyev ◽  
M. N. Kostomakhin
Keyword(s):  
Information Technology ◽  
Information Technologies ◽  
Conceptual Development ◽  
Agricultural Sector ◽  
Technology Development ◽  
Technological Development ◽  
Animal Husbandry ◽  
Automatic Regulation ◽  
Industrial Complex ◽  
Information Technology Development

The current stage of information technology development is characterized as digital called BCG (Boston Consulting Group) digitalization, while the analog period in agriculture is over, the industry has entered the digital era, which means that by 2050 the use of new generation technologies will be able to increase the productivity of world agriculture by 70 %. The main stages of information technology development in the world considers some of the most important areas of it technology development and global trends in the digital transformation of the agro-industrial complex based on the analysis of global scientific achievements, research reports, articles by well-known scientists, scientific and expert organizations have been investigated in the article. The main trends that determine the conceptual development of the so-called “Smart (digital) agriculture” are identified, the active use of elements of which contributes in every possible way to the highly rational social, economic, technical and technological development of the agricultural sector. A promising area is Precision Animal Husbandry (similar to Precision Farming). Among the elements of Precision Animal Husbandry the most widely used are identification and monitoring of individual animals using modern information technologies (feeding ration, milk yield, growth, body temperature, activity), meeting their individual needs; automatic regulation of the microclimate and control of harmful gases; monitoring the health of the herd, product quality; electronic database of the production process; robotization of the milking process.

The ‘Perfect Technology Syndrome’

2010 ◽  
pp. 159-170
Author(s):  
Seppo J. Hänninen
Keyword(s):  
Knowledge Base ◽  
Product Innovation ◽  
Technology Development ◽  
Research Literature ◽  
Common Interest ◽  
Complementary Resources ◽  
Innovation Projects ◽  
Publicly Supported ◽  
Intensive Development ◽  
Proper Balance

Recent research literature in product innovation has paid attention to the fact that technological discipline can lead to dominance by a knowledge base. Technology-intensive development is often partially and publicly supported and problems in finding a proper balance in technology development are in common interest. The objective of this study is to deepen the understanding of the dominance by technological knowledge base with reference to the sources, consequences and solutions of this overemphasis. Finnish publicly supported technology-intensive product innovation projects are studied. In the case studies, examples of the ‘perfect technology syndrome’ are identified and their sources are analyzed. This syndrome describes the intention to achieve the ultimate level in the technology development. Solutions proposed to the unfavorable consequences included alliances with organizations having complementary resources, careful pretesting of products with key partners and developing the technological products to specific target groups.

scholarly journals Temperature-dependent optical and vibrational properties of PtSe2 thin films

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Desman P. Gulo ◽  
Han Yeh ◽  
Wen-Hao Chang ◽  
Hsiang-Lin Liu
Keyword(s):  
Thin Films ◽  
Band Gap ◽  
Room Temperature ◽  
Near Infrared ◽  
Technological Development ◽  
Phonon Modes ◽  
Research Attention ◽  
Practical Applications ◽  
Infrared Frequency Range ◽  
Indirect Band Gap

Abstract PtSe2 has received substantial research attention because of its intriguing physical properties and potential practical applications. In this paper, we investigated the optical properties of bilayer and multilayer PtSe2 thin films through spectroscopic ellipsometry over a spectral range of 0.73–6.42 eV and at temperatures between 4.5 and 500 K. At room temperature, the spectra of refractive index exhibited several anomalous dispersion features below 1000 nm and approached a constant value in the near-infrared frequency range. The thermo-optic coefficients of bilayer and multilayer PtSe2 thin films were (4.31 ± 0.04) × 10−4/K and (–9.20 ± 0.03) × 10−4/K at a wavelength of 1200 nm. Analysis of the optical absorption spectrum at room temperature confirmed that bilayer PtSe2 thin films had an indirect band gap of approximately 0.75 ± 0.01 eV, whereas multilayer PtSe2 thin films exhibited semimetal behavior. The band gap of bilayer PtSe2 thin films increased to 0.83 ± 0.01 eV at 4.5 K because of the suppression of electron–phonon interactions. Furthermore, the frequency shifts of Raman-active Eg and A1g phonon modes of both thin films in the temperature range between 10 and 500 K accorded with the predictions of the anharmonic model. These results provide basic information for the technological development of PtSe2-based optoelectronic and photonic devices at various temperatures.

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