Analysis of Thief Identification Techniques using Artificial Intelligence

2021 ◽  
Vol 7 (2) ◽  
Author(s):  
C. Saraswathy ◽  
S. Sarumathi
Keyword(s):  
Artificial Intelligence ◽  
Cost Effective ◽  
False Alarms ◽  
Human Interference ◽  
Security Issues ◽  
Human Attention ◽  
The World ◽  
The Face ◽  
Identification Techniques ◽  
Behaviour Recognition

Theft is a major cause of violence around the world. Several valuable things are stolen as a result of security issues in the workplace, bank, and home. In previous years, a variety of techniques were used to reduce the risks. Two of these methods are burglar alarms and CCTV recording. However, these methods are inaccurate and disorganized due to a lack of human attention in such processes. Since such a system requires human maintenance to control the data collected by the camera, it presents a greater problem for shop or home owners. The that rate of crime causes people to struggle both financially and emotionally. As a result, there is a need to prevent theft and develop a security system. It has to be simple to use, free of false alarms, human interference-free, and cost-effective. The primary goal of this paper is to serve as both a concise overview and a reference by providing primary knowledge of various techniques used as well as various research opportunities in this field. A variety of methods for identifying the thief using artificial intelligence based on the face and behaviour recognition are demonstrated in this survey.

Artificial Intelligence in the Banking Sector: Opportunities and Challenges

2021 ◽  
pp. 81-97
Author(s):  
Galina Semeko ◽  
Keyword(s):  
Artificial Intelligence ◽  
Banking Sector ◽  
High Tech ◽  
The World ◽  
The Face

The article deals with the problems of using artificial intelligence technologies in the banking sector in the world in general and in Russia in particular. Characterizes the potential of artificial intelligence technologies and their role in increasing the competitiveness of banks in the face of in Creasing competition from new high-tech financial providers. Presentes an analysis of the factors hampering the introduction of artificial intelligence technologies in banks.

scholarly journals INTRODUCTION TO CHINA PAKISTAN ECONOMIC CORRIDOR AND ITS IMPORTANCE FOR PAKISTAN

2020 ◽  
Vol 1 (1) ◽  
pp. 44-47
Author(s):  
Rabia Anam
Keyword(s):  
Economic Growth ◽  
Transportation Cost ◽  
Cost Effective ◽  
World Market ◽  
Chinese Government ◽  
Political Will ◽  
Security Issues ◽  
Key Stakeholders ◽  
The World ◽  
Energy Shortage

The China Pakistan Economic Corridor (CPEC) consist of various projects related to energy, telecommunication, and highways linking Gwadar Port to China thus creating a shorter route. This route has strategic importance as it provide cost effective way of exporting Chinese products to the world market and reducing transportation cost on oil imported from Middle East to China. The CPEC project is beneficial for Pakistan as it has potential to reduce country’s energy shortage, boost economic growth, create jobs and reduce poverty. The challenges to the project include security issues, political will, and foreign interference. It is recommended that government of Pakistan include key stakeholders such as local people, communities, Chinese government, and neighboring countries in the process in order to better overcome these challenges.

Help Me Invest

2020 ◽  
pp. 257-269
Author(s):  
Manish Kumar ◽  
Mukul Sharma ◽  
Ivy Raina ◽  
Mehak Kawatra ◽  
Shubhanshu Sharma ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Investment Decision ◽  
Security Issues ◽  
Internet News ◽  
Time Period ◽  
The World ◽  
Different Types

Making an investment is very important. According to a recent study, people used to hold a commodity for about 8 years, but now the time period has reduced to about 4 months. The market is really volatile; with the help of internet, news travels really fast and is reachable to everyone in every part of the world. Buying any commodity cannot be easier, as the number of options available is very large. Different investment options bring different types of profit and risk. One of the major issues involved is the security in using such tools and applications. A good investor always makes an investment decision by calculating and analyzing various factors that could affect his profits. The advancement in artificial intelligence and computation plays an important role while analyzing these factors. Few simple lines of code can analyze the market and help evaluate various investment options. Most of these tools are available online, but they all come with security issues associated with them.

scholarly journals Artificial Intelligence and Bank Soundness: Between the Devil and the Deep Blue Sea - Part 2

2021 ◽  
Author(s):  
Charmele Ayadurai ◽  
Sina Joneidy
Keyword(s):  
Artificial Intelligence ◽  
Bank Failures ◽  
Deep Blue ◽  
Do No Harm ◽  
The World ◽  
The Face ◽  
World Class ◽  
The Devil ◽  
Main Strand ◽  
Bank Soundness

Banks have experienced chronic weaknesses as well as frequent crisis over the years. As bank failures are costly and affect global economies, banks are constantly under intense scrutiny by regulators. This makes banks the most highly regulated industry in the world today. As banks grow into the 21st century framework, banks are in need to embrace Artificial Intelligence (AI) to not only to provide personalized world class service to its large database of customers but most importantly to survive. The chapter provides a taxonomy of bank soundness in the face of AI through the lens of CAMELS where C (Capital), A(Asset), M(Management), E(Earnings), L(Liquidity), S(Sensitivity). The taxonomy partitions challenges from the main strand of CAMELS into distinct categories of AI into 1(C), 4(A), 17(M), 8 (E), 1(L), 2(S) categories that banks and regulatory teams need to consider in evaluating AI use in banks. Although AI offers numerous opportunities to enable banks to operate more efficiently and effectively, at the same time banks also need to give assurance that AI ‘do no harm’ to stakeholders. Posing many unresolved questions, it seems that banks are trapped between the devil and the deep blue sea for now.

COMPETÊNCIAS RELEVANTES PARA O PROFISSIONAL DO FUTURO - COMPETÊNCIAS LISTADAS PELO RELATÓRIO DO FÓRUM ECONÔMICO MUNDIAL E A PREVISÃO DE FUTURO DE YUVAL HARARI

2021 ◽  
Vol 9 (205) ◽  
pp. 1-17
Author(s):  
Daniele Rodrigues Alves da Silva
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Technical Skills ◽  
World Economic Forum ◽  
Job Market ◽  
The World ◽  
The Face ◽  
World Economic ◽  
Human Skills ◽  
Great Mass

We are living in a liquid world, we are inundated daily by hundreds of information, new technologies are made available to the great mass at a frequency never seen before, we are watched by algorithms that learn more and more with us. Much is discussed about the extinction of professions, considered essential, such as doctors, lawyers and teachers, which are already being replaced by artificial intelligence efficiently. In this scenario, what will be the skills of the professional who will stand out in the job market? How can this professional remain necessary in the face of more effective and efficient substitution by automation and algorithms? Essentially human skills, that are the most difficult to be replicated by machines, which involve empathy, ethics, collaboration are among the most valued,according to a report by the World Economic Forum about the future of jobs. Knowing these skills and their relevance to the current and future job market contributes to training of professionals able to survive a technological tsunami, in which the development of technical skills alone is no sufficient.

Internet of Things in Cyber Security Scope

2022 ◽  
pp. 146-187
Author(s):  
Mazoon Hashil Alrubaiei ◽  
Maiya Hamood Al-Saadi ◽  
Hothefa Shaker ◽  
Bara Sharef ◽  
Shahnawaz Khan
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Cyber Security ◽  
Rapid Evolution ◽  
The Internet ◽  
Future Directions ◽  
Iot Security ◽  
Security Issues ◽  
The World ◽  
New Challenges

IoT represents a technologically bright future where heterogeneously connected devices will be connected to the internet and make intelligent collaborations with other objects to extend the borders of the world with physical entities and virtual components. Despite rapid evolution, this environment is still facing new challenges and security issues that need to be addressed. This chapter will give a comprehensive view of IoT technologies. It will discuss the IoT security scope in detail. Furthermore, a deep analysis of the most recent proposed mechanisms is classified. This study will be a guide for future studies, which direct to three primary leading technologies—machine learning (ML), blockchain, and artificial intelligence (AI)—as intelligent solutions and future directions for IoT security issues.

scholarly journals Artificial Intelligence-based Disease Surveillance Amid COVID-19 and Beyond: A Systematic Review Protocol

2020 ◽  
Author(s):  
Zhaohui Su ◽  
Barry Bentley ◽  
Feng Shi
Keyword(s):  
Artificial Intelligence ◽  
Infectious Diseases ◽  
Disease Surveillance ◽  
Cost Effective ◽  
Surveillance Systems ◽  
Prevention Measures ◽  
Eligibility Criteria ◽  
The World ◽  
Tools And Techniques ◽  
Health Experts

Abstract Background: Infectious diseases are dangerous and deadly. As the leading causes of morbidity and mortality in all demographics across the world, infectious diseases carry substantial social, economic, and healthcare costs. Unlike previous global health crises, health experts now have access to more advanced tools and techniques to understand pandemics like COVID-19 better and faster; one such class of tools is artificial intelligence (AI) enabled disease surveillance systems. AI-based surveillance systems allow health experts to perform rapid mass infection prediction to identify potential disease cases, which is integral to understanding transmission and curbing the spread of the pandemic. However, while the importance of AI-based disease surveillance mechanisms in pandemic control is clear, what is less known is the state-of-the-art application of these mechanisms in countries across the world. Therefore, to bridge this gap, we aim to systematically review the literature to identify (1) how AI-based disease surveillance systems have been applied in counties worldwide amid COVID-19, (2) the characteristics and effects of these applications regarding the control of the spread of COVID-19, and (3) what additional disease surveillance resources such as database, AI-based tools and techniques that can be further added to the current toolbox in the fight against COVID-19. Methods: To locate research on AI-based disease surveillance amid COVID-19, we will search databases including PubMed, IEEE Explore, ACM Digital Library, and Science Direct to identify all potential records. Titles, abstracts, and full-text articles were screened against eligibility criteria developed a priori. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses procedures was adopted as the reporting framework.Results: NA for now Conclusions: Findings of our study will fill an important void in the literature, as no research has systematically reviewed available AI-based disease surveillance in the context of COVID-19. As the world continues to reel from COVID-19, it is important to identify cost-effective AI-based disease surveillance mechanisms that can detect COVID-19 cases and explain how one COVID-19 case turns into many cases, so that better prevention measures can be established to curb the spread of the COVID pandemic in a timely manner. Study Protocol Registration: PROSPERO CRD42020204992

scholarly journals HOW ARTIFICIAL INTELLIGENCE(AI) CAN HELP TACKLE COVID-19 - AN ANALYSIS

2020 ◽  
Vol 8 (9) ◽  
pp. 825-829
Author(s):  
Amey Patil ◽  
◽  
Aakash Patel ◽  
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Human Life ◽  
Damage Control ◽  
Traditional Methods ◽  
Loss Of Life ◽  
The World ◽  
Business Ecosystems ◽  
The Face

The unanticipated outburst of the Covid-19 since the month of December 2019 has put the world in the face of unforeseeable challenges when it comes to operating industries, whole business ecosystems and minimizing the loss of human life in fighting the battle against this virus. In times like these, where existing and traditional methods of operations cease to function, damage control solutions by using new technologies are being currently tested and implemented to minimize the loss of life and economic complexities. This article discusses various solutions that AI as an upcoming branch of technology can offer in various sectors to curb the spread of virus and reduce the risk of transmission of the Covid-19 virus.

scholarly journals Research on the Social Impact of Artificial Intelligence and Government’s Coping Strategies

2020 ◽  
pp. 114-123
Author(s):  
Weili Tian
Keyword(s):  
Artificial Intelligence ◽  
Social Life ◽  
Social Impact ◽  
Rapid Development ◽  
Human Society ◽  
Chinese Media ◽  
New Era ◽  
The World ◽  
The Face ◽  
Intelligence Development

“Artificial intelligence” is one of the most popular buzzwords in the society at present, and was selected as the “Top Ten Chinese Media Popularity in 2017”. Human society is gradually entering a new era of artificial intelligence. Artificial intelligence is not just a scientific and technological innovation, but will bring about a big change in social life. As the State Council’s “New Generation Artificial Intelligence Development Plan” pointed out: “The rapid development of artificial intelligence will profoundly change human social life and change the world.” In the face of the new situation in the new era, governments at all levels must take the initiative to seek change and change, firmly grasp the major historical opportunities for the development of artificial intelligence, keep abreast of development, research and judge the general trend, actively plan, grasp the direction, seize the opportunities, and lead the world in the development of artificial intelligence. The trend, serving economic and social development and supporting national security, drives the overall leap and leapfrog development of national competitiveness.

Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 5. Introduction to Logic

Discourse ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 109-117
Author(s):  
O. M. Polyakov
Keyword(s):  
Artificial Intelligence ◽  
Mathematical Logic ◽  
Natural Language ◽  
Semantic Interpretation ◽  
General View ◽  
World Model ◽  
Semantic Approach ◽  
Natural Languages ◽  
The World ◽  
Linguistic Aspect

Introduction. The article continues the series of publications on the linguistics of relations (hereinafter R–linguistics) and is devoted to an introduction to the logic of natural language in relation to the approach considered in the series. The problem of natural language logic still remains relevant, since this logic differs significantly from traditional mathematical logic. Moreover, with the appearance of artificial intelligence systems, the importance of this problem only increases. The article analyzes logical problems that prevent the application of classical logic methods to natural languages. This is possible because R-linguistics forms the semantics of a language in the form of world model structures in which language sentences are interpreted.Methodology and sources. The results obtained in the previous parts of the series are used as research tools. To develop the necessary mathematical representations in the field of logic and semantics, the formulated concept of the interpretation operator is used.Results and discussion. The problems that arise when studying the logic of natural language in the framework of R–linguistics are analyzed. These issues are discussed in three aspects: the logical aspect itself; the linguistic aspect; the aspect of correlation with reality. A very General approach to language semantics is considered and semantic axioms of the language are formulated. The problems of the language and its logic related to the most General view of semantics are shown.Conclusion. It is shown that the application of mathematical logic, regardless of its type, to the study of natural language logic faces significant problems. This is a consequence of the inconsistency of existing approaches with the world model. But it is the coherence with the world model that allows us to build a new logical approach. Matching with the model means a semantic approach to logic. Even the most General view of semantics allows to formulate important results about the properties of languages that lack meaning. The simplest examples of semantic interpretation of traditional logic demonstrate its semantic problems (primarily related to negation).

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