Initial Remedial Action to Coronavirus in India: a Study

2020 ◽  
Vol 16 ◽  
Author(s):  
Pooja ◽  
Karan Veer
Keyword(s):  
Artificial Intelligence ◽  
Developing Country ◽  
Crucial Role ◽  
Essential Role ◽  
Remedial Action ◽  
Indian States

Abstract:: Because of this pandemic COVID19 (now called SARS-CoV-2), few Indian states are now at the borderline to join the transmitting stage of the virus. The condition is troubling and new scientific, environmental and infrastructure needs to play a crucial role in removing this important problem globally (including India). It focused in this report on how India; a developing country is trying to stop corona spreading, and how artificial intelligence (AI) plays an essential role in controlling and monitoring the disease. The study also focuses on the topic and the challenges a developing country such as India faces.

scholarly journals A STUDY ON ARTIFICIAL INTELLIGENCE IN THE TIMES OF COVID-19

2020 ◽  
pp. 227-230
Keyword(s):  
Artificial Intelligence ◽  
Severe Acute Respiratory Syndrome ◽  
Crucial Role ◽  
Essential Role ◽  
The World ◽  
The Times ◽  
Death Cases

the COVID-19 caused by SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) has already taken pandemic portion of the world by spreading more than 100 countries considerably within few weeks. And created devastation on the human civilization. So, the precise and expeditious diagnosis of COVID-19 cases plays a crucial role in timely quarantine and Healthcare, which requires the support of decisive technology like Artificial Intelligence. In this paper I am presenting a study on AI based methodologies that are being widely used in various applications in the battle against the deadly coronavirus outbreak and summarises the crucial roles of AI in this unusual fight. This outcome driven technology is applied in number of areas where AI plays an essential role from screening, analysing and diagnosing the risk to detect the cluster of cases. It can also be used to predict the cases in future and also be applied to keep track of number of current cases, recovered cases and death cases. The technologies based on artificial intelligence are applied for the delivery of exceptional services like discovery of medicines for cure, replacing man power at hospitals by AI based robots for serving medicines and food, disinfecting surfaces, in tackling the Covid-19 outbreak.

scholarly journals On the Origin of Tetraploid Vernal Grasses (Anthoxanthum) in Europe

Genes ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 966
Author(s):  
Zuzana Chumová ◽  
Terezie Mandáková ◽  
Pavel Trávníček
Keyword(s):  
Flow Cytometry ◽  
In Situ Hybridization ◽  
Crucial Role ◽  
Evolutionary History ◽  
Essential Role ◽  
Grass Species ◽  
Polyploid Species ◽  
Anthoxanthum Odoratum ◽  
European Populations

Polyploidy has played a crucial role in the evolution of many plant taxa, namely in higher latitudinal zones. Surprisingly, after several decades of an intensive research on polyploids, there are still common polyploid species whose evolutionary history is virtually unknown. Here, we addressed the origin of sweet vernal grass (Anthoxanthum odoratum) using flow cytometry, DNA sequencing, and in situ hybridization-based cytogenetic techniques. An allotetraploid and polytopic origin of the species has been verified. The chromosome study reveals an extensive variation between the European populations. In contrast, an autopolyploid origin of the rarer tetraploid vernal grass species, A. alpinum, has been corroborated. Diploid A. alpinum played an essential role in the polyploidization of both European tetraploids studied.

Smart design of intelligent companion toys for preschool children

2020 ◽  
pp. 1-14
Author(s):  
Xin Wang ◽  
Nian Yin ◽  
Zhinan Zhang
Keyword(s):  
Artificial Intelligence ◽  
Early Childhood ◽  
Preschool Children ◽  
Essential Role ◽  
Childhood Education ◽  
Child Centered ◽  
Toy Design ◽  
Complete Framework ◽  
New Framework

Abstract Early childhood education has long-lasting influences on people, and an appropriate companion toy can play an essential role in children's brain development. This paper establishes a complete framework to guide the design of intelligent companion toys for preschool children from 2 to 6 years old, which is child-centered and environment-oriented. The design process is divided into three steps: requirement confirmation, the smart design before the sale, and the iterative update after the sale. This framework considers the characteristics of children and highlights the integration of human and artificial intelligence in design. A case study is provided to prove the superiority of the new framework. In addition to enriching the research on intelligent toy design, this paper also guides for practitioners to design smart toys and helps in children's cognitive development.

Maximising Soft Power: the Role of Digital Diplomacy in Building Trust with Nation-Branding

2021 ◽  
Vol 1 (2) ◽  
pp. 1-19
Author(s):  
Jess Gosling
Keyword(s):  
Crucial Role ◽  
Soft Power ◽  
Driving Force ◽  
Public Diplomacy ◽  
Essential Role ◽  
Nation Branding ◽  
Building Trust ◽  
The Creation ◽  
Digital Diplomacy

Perceptions of attractiveness and trustworthiness impact the prosperity and influence of countries. A country's soft power is not guaranteed. Countries have their brands, an image shaped by the behaviour of governments, by what they do and say, whom they associate with, and how they conduct themselves on the global stage. Increasingly, digital diplomacy plays a crucial role in the creation and application of soft power. This paper argues that digital diplomacy is increasingly vital in the articulation of soft power. Digital diplomacy is a new way of conducting public diplomacy, offering new and unparalleled ways of building trust with previously disengaged audiences. Soft power is now the driving force behind reputation and influence on the global stage, where increasingly digital diplomacy plays an essential role.

scholarly journals Artificial Intelligence and Bank Soundness: A Done Deal? - Part 1

2021 ◽  
Author(s):  
Charmele Ayadurai ◽  
Sina Joneidy
Keyword(s):  
Artificial Intelligence ◽  
Significant Role ◽  
Crucial Role ◽  
Significant Contribution ◽  
Economic Prosperity ◽  
Bank Stability ◽  
The Face ◽  
Main Strand ◽  
Bank Soundness ◽  
The Way

Banks soundness plays a crucial role in determining economic prosperity. As such, banks are under intense scrutiny to make wise decisions that enhances bank stability. Artificial Intelligence (AI) plays a significant role in changing the way banks operate and service their customers. Banks are becoming more modern and relevant in people’s life as a result. The most significant contribution of AI is it provides a lifeline for bank’s survival. 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 opportunities from the main strand of CAMELS into distinct categories of 1 (C), 6(A), 17(M), 16 (E), 3(L), 6(S). It is highly evident that banks will soon extinct if they do not embed AI into their operations. As such, AI is a done deal for banks. Yet will AI contribute to bank soundness remains to be seen.

Exploring the Possibilities of Artificial Intelligence and Big Data Techniques to Enhance Gamified Financial Services

2022 ◽  
pp. 187-204
Author(s):  
María A. Pérez-Juárez ◽  
Javier M. Aguiar-Pérez ◽  
Miguel Alonso-Felipe ◽  
Javier Del-Pozo-Velázquez ◽  
Saúl Rozada-Raneros ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Financial Institutions ◽  
Financial Services ◽  
Essential Role ◽  
Digital Natives ◽  
Digital Immigrants ◽  
Artificial Intelligence Techniques ◽  
New Challenges

A lot of millennials have been educated in gamified schools where they played Kahoot several times per week, and where applications like Classcraft made them feel like the protagonists of a videogame in which they had to accumulate points to be able to level up. All those that were educated in a gamified environment feel it is natural and logical that gamification is used in all areas. For this reason, gamification is increasingly becoming important in different fields including financial services, bringing new challenges. Gamification allows financial institutions to provide personalized and compelling experiences. Big data and artificial intelligence techniques are called to play an essential role in the gamification of financial services. This chapter aims to explore the possibilities of using artificial intelligence and big data techniques to support gamified financial services which are essential for digital natives but also increasingly important for digital immigrants.

scholarly journals Service Robots Usage in Marketing Hospitality in China

2021 ◽  
Vol 10 (2) ◽  
pp. 13
Author(s):  
Ayse Begum Ersoy ◽  
Ziqi Cui
Keyword(s):  
Artificial Intelligence ◽  
Hospitality Industry ◽  
Essential Role ◽  
Service Robots ◽  
Human Intelligence ◽  
The Public ◽  
Advanced Technologies ◽  
The World ◽  
Interpersonal Distancing ◽  
The Impact

Since the coronavirus disease 2019(COVID-19) has had brought severe impact on all aspects of the world. A series of interpersonal distancing methods such as ensuring effective and safe social distancing among people, wearing masks, and traffic lockdown measures are also continuing to take effect to curb the continuing outbreak of the COVID-19 (“Advice for the public on COVID-19”, 2020). In response to the globally spread of COVID-19, many advanced technologies in the field of Artificial Intelligence (AI) were applied rapidly and played an essential role in the operation for several months. There are many different leading technology categories in the field of artificial intelligence and many different sub-categories within each main technology categories. Moreover, since the AGI technology does not yet reach the basic human intelligence level, this study will focus on the impact of service robots, which are already widely used in the NAI application category, on hospitality marketing in the current situation in China. In this paper the aim is to assess the effectiveness of use of service robots in Marketing Hospitality Industry during the pandemic through a quantitative study.

An Advance Approach toward Sentiment Analysis using Swarm Intelligence

2021 ◽  
Vol 9 (VI) ◽  
pp. 1710-1713
Author(s):  
Miss. Riddhi Mandal
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Sentiment Analysis ◽  
Swarm Intelligence ◽  
Crucial Role ◽  
Complex Problem ◽  
Analysis Approach ◽  
Customer Feedback ◽  
The World

Modernization is the key feature for the development of Society. With the timespan people are making growth with trends in technology. Around the decades, there were many technologies which have been stepped up over the industry and made the transformation in the society and have made tremendous development throughout the world. Similarly, In the 21st decades Social media (like Facebook, Twitter, what’s app, Instagram & many more) have become one of the emphasized network mediums. Millions of people are using social media to get in touch with people staying far away from them. There are millions of data over it which is non-hierarchical and need to store and use it for feedback and other usage. Not only in Social Media, in the business & marketing sector too, customer feedback plays a crucial role. For maintaining and segregating data in a systematic way, sentiment analysis is being used which makes the task easier and helps to understand the data in a better way. In this paper, we are presenting a sentiment analysis approach using Swarm Intelligence, which could be more beneficial in such tasks to solve the complex problem. The concept is correlated with technology Artificial Intelligence.

scholarly journals No-scale gauge non-singlet inflation inducing TeV scale inverse seesaw mechanism

2021 ◽  
Vol 2021 (10) ◽  
Author(s):  
Ahmad Moursy
Keyword(s):  
Gauge Symmetry ◽  
Parameter Space ◽  
Crucial Role ◽  
Essential Role ◽  
Mass Parameter ◽  
Susy Breaking ◽  
The Other ◽  
Neutrino Masses ◽  
Seesaw Mechanism ◽  
Model Parameter

Abstract We develop a model of sneutrino inflation that is charged under U(1)B−L gauge symmetry, in no-scale supergravity framework. The model provides an interesting modification of tribrid inflation. We impose U(1)R symmetry on the renormalizable level while allow Planck suppressed non-renormalizable operators that break R-symmetry. This plays a crucial role in realizing a Starobinsly-like inflation scenario from one hand. On the other hand it plays an essential role, as well as SUSY breaking effects, in deriving the tiny neutrino masses via TeV inverse seesaw mechanism. Thus, we provide an interpretation for the extremely small value of the μS mass parameter required for inverse seesaw mechanism. We discuss a reheating scenario and possible constraints on the model parameter space in connection to neutrino masses.

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