On the issue of analyzing the technical condition of agricultural machinery using neural networks

2021 ◽  
pp. 42-48
Author(s):  
E. V. Pestryakov ◽  
M. N. Kostomakhin ◽  
N. A. Petrishchev ◽  
A. S. Sayapin ◽  
K. K. Molybozhenko
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Computer Systems ◽  
Technical Condition ◽  
Third Party ◽  
Agricultural Machinery ◽  
Current Trends ◽  
The World ◽  
Complex Computer

This article is devoted to the increasing role of artificial intelligence in agriculture, namely in the diagnosis of the state of agricultural machinery. The development of new software using artificial intelligence in its work is carried out all over the world. Also, in parallel with the programs, new computing devices are being developed that allow storing and processing large amounts of information. All this allows you to create complex computer systems that involve many third-party devices. In addition, agriculture should develop, focusing on current trends.

A Review of Recent Deep Learning Models in COVID-19 Diagnosis

2021 ◽  
Vol 6 (5) ◽  
pp. 10-15
Author(s):  
Ela Bhattacharya ◽  
D. Bhattacharya
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Deep Learning ◽  
Deep Neural Networks ◽  
Test Results ◽  
Learning Models ◽  
Future Directions ◽  
Human Contact ◽  
The World ◽  
Short Span

COVID-19 has emerged as the latest worrisome pandemic, which is reported to have its outbreak in Wuhan, China. The infection spreads by means of human contact, as a result, it has caused massive infections across 200 countries around the world. Artificial intelligence has likewise contributed to managing the COVID-19 pandemic in various aspects within a short span of time. Deep Neural Networks that are explored in this paper have contributed to the detection of COVID-19 from imaging sources. The datasets, pre-processing, segmentation, feature extraction, classification and test results which can be useful for discovering future directions in the domain of automatic diagnosis of the disease, utilizing artificial intelligence-based frameworks, have been investigated in this paper.

The Next Generation of Internet Portals

2011 ◽  
pp. 89-100
Author(s):  
Ali Jafari
Keyword(s):  
Artificial Intelligence ◽  
World Wide Web ◽  
World Wide ◽  
Next Generation ◽  
The World ◽  
Internet Portals ◽  
New Generation

Today’s portals bring together existing technologies in useful, innovative ways, but they don’t scratch the surface of what is possible. The constant build-up of information and resources on the World Wide Web demands a smarter more advanced portal technology that offers dynamic, personalized, customized, and intelligent services. This chapter discusses next-generation portals and the requirement that they come to know their users and understand their individual interests and preferences. It describes a new generation of portals that have a level of autonomy, making informed, logical decisions and performing useful tasks on behalf of their members. The chapter highlights the role of artificial intelligence in framing the next generation of portal technology and in developing their capabilities for learning about their users.

scholarly journals The Interplay of Knowledge Representation with Various Fields of Artificial Intelligence in Medicine

2019 ◽  
Vol 28 (01) ◽  
pp. 027-034 ◽  
Author(s):  
Laszlo Balkanyi ◽  
Ronald Cornet
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Neural Networks ◽  
Fuzzy Logic ◽  
Knowledge Representation ◽  
Expert Systems ◽  
Frequency Analysis ◽  
Medical Subject Headings ◽  
Subject Headings

Introduction: Artificial intelligence (AI) is widespread in many areas, including medicine. However, it is unclear what exactly AI encompasses. This paper aims to provide an improved understanding of medical AI and its constituent fields, and their interplay with knowledge representation (KR). Methods: We followed a Wittgensteinian approach (“meaning by usage”) applied to content metadata labels, using the Medical Subject Headings (MeSH) thesaurus to classify the field. To understand and characterize medical AI and the role of KR, we analyzed: (1) the proportion of papers in MEDLINE related to KR and various AI fields; (2) the interplay among KR and AI fields and overlaps among the AI fields; (3) interconnectedness of fields; and (4) phrase frequency and collocation based on a corpus of abstracts. Results: Data from over eighty thousand papers showed a steep, six-fold surge in the last 30 years. This growth happened in an escalating and cascading way. A corpus of 246,308 total words containing 21,842 unique words showed several hundred occurrences of notions such as robotics, fuzzy logic, neural networks, machine learning and expert systems in the phrase frequency analysis. Collocation analysis shows that fuzzy logic seems to be the most often collocated notion. Neural networks and machine learning are also used in the conceptual neighborhood of KR. Robotics is more isolated. Conclusions: Authors note an escalation of published AI studies in medicine. Knowledge representation is one of the smaller areas, but also the most interconnected, and provides a common cognitive layer for other areas.

A Perspective of AI and Patents

2020 ◽  
pp. 38-41
Keyword(s):  
Artificial Intelligence ◽  
Statistical Data ◽  
The Real ◽  
The World ◽  
Is Development ◽  
Real Scenario

Artificial Intelligence (AI) is significantly changing the world as well as the business. The emergence of AI, AI portfolio, a timeline of AI, its usage in different sectors, the real scenario of AI with Statistical data are presented. The paper discusses the role of patent is development and protection of AI based technologies, the contribution of the sectors in filing patents related to AI. The paper studies the problems faced by businesses with AI implementation and the probable strategic solutions using patents.

scholarly journals Role of Artificial Intelligence in Eradicating: How Artificial Intelligence can help to Control Crime and Terror in Pakistan

2020 ◽  
Vol III (I) ◽  
pp. 34-43
Author(s):  
Mamoon Rashid ◽  
Noor Fatima
Keyword(s):  
Artificial Intelligence ◽  
Third World ◽  
National Level ◽  
National Policy ◽  
World Country ◽  
Young Population ◽  
Technological Infrastructure ◽  
Third World Country ◽  
The World

Artificial Intelligence is gradually becoming stronger in the world. It is the new buzz word. Tons of individual are working on it or about it. Although, less known by some, it is not a very new invention. However, it is coming into practice in every field of life. Due to its eccentric nature, the AI is taking the whole world by storm. The world has started to witness in the news and public dialogues that big countries taking major steps. Many countries are adopting this technology as a matter of their national security in order to control crime and terror. Pakistan is a third world country and lags behind in many things in comparison to the world. However, the country is blessed with tech experts and has a large amount of population using technology, literary or not, that's debatable. Pakistan is a country with one of the largest young population of the world. By more youth means more possible tech users but sadly, Pakistan stands among the lowest in tech innovations in the world. Data is crucial for AI and Pakistan has been lucky enough to collect ample amount of data of its citizens. The issue is utilization of that data. Pakistan has technological infrastructure but that infrastructure requires upgradation time to time and needs to be expanded on a national level. AI software could be used on the same infrastructure but requires tech trained man power. Pakistan requires a national policy for AI which includes security and all other domain where AI could be utilized.

scholarly journals Deep learning, past present and future: An odyssey

2021 ◽  
Author(s):  
Anwaar Ulhaq
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Neural Networks ◽  
Deep Learning ◽  
Deep Neural Networks ◽  
Review Paper ◽  
Complex Problems ◽  
Current Trends

Machine learning has grown in popularity and effectiveness over the last decade. It has become possible to solve complex problems, especially in artificial intelligence, due to the effectiveness of deep neural networks. While numerous books and countless papers have been written on deep learning, new researchers want to understand the field's history, current trends and envision future possibilities. This review paper will summarise the recorded work that resulted in such success and address patterns and prospects.

scholarly journals MODERN TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE IN THE DESIGN OF INTERIOR SPACES

2021 ◽  
Vol 03 (06) ◽  
pp. 199-211
Author(s):  
Ahmed Hamid FALIH ◽  
Rajaa Saadi LAFTA
Keyword(s):  
Artificial Intelligence ◽  
Interior Design ◽  
Modern Technology ◽  
Functional Interaction ◽  
Human Needs ◽  
Interior Spaces ◽  
The World ◽  
Effective Role ◽  
Modern Technologies

The pursuit of technology has actively contributed to building advanced societies that have facilitated many human needs, shortened distances, and connected the world with important steady steps in all sciences, especially arts and engineering, including the interior design arts that have developed in the last decade to a point that is almost the top of technical treatments and their effective role at the level of The artificial intelligence that granted the specialist (the interior designer) a new status that is reflected in the transcendence and sophistication, and in it the characteristics of functional interaction and its aesthetic relations appear, so the current study is a cognitive key in identifying the mother of the features of modern technology and the role of artificial intelligence in the production of new designs that fit the needs of the institutional and social individual.

GENESIS OF STATE ENTREPRENEURSHIP IN UKRAINE AND THE WORLD: FROM PRIVATIZATION TO INTERNATIONALIZATION

2017 ◽  
Vol 16 (1/2017) ◽  
pp. 86-109 ◽  
Author(s):  
Alla Melnyk ◽  
Inna Tynska
Keyword(s):  
Public Administration ◽  
Business Processes ◽  
The State ◽  
State System ◽  
Institutional Framework ◽  
Economic Governance ◽  
Current Trends ◽  
The World ◽  
Current Stage

The study considers how the phenomenon of state entrepreneurship has been examined in theoretical works by world-famous researchers. It has been brought to light that a comparison of the performance of state-owned enterprises is rather difficult due to divergent views on their socio-economic and institutional framework in different countries. The characteristics of privatization processes that have taken place since the 1990s as well as their current trends are identified. The contribution of an entrepreneurial state in financing and stimulating innovations is analyzed. Bearing in mind the ever-growing role of state entrepreneurship in building business processes, it is noted that the current stage of the development of state entrepreneurship needs significant changes in the state system of economic governance. Taking into account shortcomings over the analyzed period, suggestions have been put forward on how to improve the effectiveness of state entrepreneurship seen as a tool of public administration.

Neuro-symbolic artificial intelligence

2021 ◽  
pp. 1-13
Author(s):  
Md Kamruzzaman Sarker ◽  
Lu Zhou ◽  
Aaron Eberhart ◽  
Pascal Hitzler
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Current Trends ◽  
Starting Point ◽  
Symbolic Methods ◽  
Artificial Neural ◽  
General Topic

Neuro-Symbolic Artificial Intelligence – the combination of symbolic methods with methods that are based on artificial neural networks – has a long-standing history. In this article, we provide a structured overview of current trends, by means of categorizing recent publications from key conferences. The article is meant to serve as a convenient starting point for research on the general topic.

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