scholarly journals A Comparative Analysis of Expert Opinions on Artificial Intelligence: Evolution, Applications, and Its Future

2021 ◽  
Vol 11 (1) ◽  
pp. 10-22
Author(s):  
Falguni Saini ◽  
Tanya Sharma ◽  
Suman Madan
Keyword(s):  
Artificial Intelligence ◽  
Comparative Analysis ◽  
Representation Learning ◽  
Human Intelligence ◽  
Healthcare Education ◽  
Future Trends ◽  
Learning Problem ◽  
The Past ◽  
Expert Opinions ◽  
Clear Idea

Artificial Intelligence (AI) is a field of computer science that primarily focuses on automating tasks that explicitly require human intelligence. The mechanics of AI technology majorly revolves around central affairs including knowledge representation, learning, problem-solving, reasoning, etc. Additionally, each discipline of AI focuses on a particular component to efficiently train the machines. Every branch of AI technology exploits knowledge in machines using diversified practices but with a clear idea of achieving the desired output. AI has evolved drastically over the past two decades and is considered the most in-demand technology at present times in varied fields including healthcare, education, forecasting, security, etc. This paper provides an extensive survey on artificial intelligence and related work going on in this field, how it differs from human intelligence, various subfields of AI and their importance, various issues related to AI and possible solutions along with and future trends related to this technology depicting people’s reliability on it and various possible concerns.

scholarly journals Profitability Analysis of Domain to Host

2019 ◽  
Vol 8 (2S8) ◽  
pp. 321-325
Keyword(s):  
Comparative Analysis ◽  
Trend Analysis ◽  
Balance Sheet ◽  
Operational Efficiency ◽  
Future Trends ◽  
Sales Growth ◽  
Financial Efficiency ◽  
The Past ◽  
Profitability Analysis ◽  
And Performance

This study is conducted to analyze the profitability analysis of Domain to Host. The aim of the study is to learn about the effectiveness and performance of the Company, to suggest measures for the improvement of the company, to know the position of company in the market, to know whether the company is in a profitable position, to calculate the future trends and profits of the company using trend analysis and to know the profitability of the company by comparing the current year balance sheet with previous year using comparative analysis. The data of the past 5 years are taken into account for study. The performance is compared within those periods. This study finds out the areas where the Domain to Host can improve to increase the efficiency of its assets and funds employed. The scope of the study involves factors that financial efficiency of the Company. To increase profit and sales growth of the company. This study finds out the operational efficiency of the organization and allocation of the resources to improve the efficiency of the organization.

scholarly journals Future trends: businness view and high tech

2020 ◽  
pp. 6
Author(s):  
José Rafael Marques da Silva ◽  
Manuela Correia
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Business Models ◽  
High Tech ◽  
Human Intelligence ◽  
Future Trends ◽  
Arable Crops ◽  
Food Traceability ◽  
Slide Presentation ◽  
The Future

This topic presents the macro-design of SPA that will surely appear in the coming years and also the future technological trends in SPA applied to viticulture and arable crops. A vision of the future of SPA is presented in three layers: i) human intelligence (related to soil, plants, climate, pests, diseases, environment, food production, fibre and energy) on top; ii) artificial intelligence (related to hardware, communications, data) in the middle; iii) and again human intelligence on the bottom (consumers, business models, transparency, food traceability). “Big Data” challenges are discussed regarding the specific needs of agriculture. The technological groups identified in a Foresight Analysis report are discussed and the future technological trends on arable crops and vineyards are presented. In this topic, materials include a slide presentation, a document text and the Foresight Analysis report.

scholarly journals Medical Robotics for Ultrasound Imaging: Current Systems and Future Trends

2021 ◽  
Author(s):  
Felix von Haxthausen ◽  
Sven Böttger ◽  
Daniel Wulff ◽  
Jannis Hagenah ◽  
Verónica García-Vázquez ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Augmented Reality ◽  
Autonomous Systems ◽  
Ultrasound Image ◽  
Image Understanding ◽  
Future Research ◽  
Future Trends ◽  
The Past ◽  
Technical Specifications ◽  
Robotic Ultrasound

Abstract Purpose of Review This review provides an overview of the most recent robotic ultrasound systems that have contemporary emerged over the past five years, highlighting their status and future directions. The systems are categorized based on their level of robot autonomy (LORA). Recent Findings Teleoperating systems show the highest level of technical maturity. Collaborative assisting and autonomous systems are still in the research phase, with a focus on ultrasound image processing and force adaptation strategies. However, missing key factors are clinical studies and appropriate safety strategies. Future research will likely focus on artificial intelligence and virtual/augmented reality to improve image understanding and ergonomics. Summary A review on robotic ultrasound systems is presented in which first technical specifications are outlined. Hereafter, the literature of the past five years is subdivided into teleoperation, collaborative assistance, or autonomous systems based on LORA. Finally, future trends for robotic ultrasound systems are reviewed with a focus on artificial intelligence and virtual/augmented reality.

scholarly journals Artificial Intelligence in Neuroanesthesiology and Neurocritical Care

2020 ◽  
Vol 7 (01) ◽  
pp. 11-18
Author(s):  
Vanitha Rajagopalan ◽  
Dilip K. Kulkarni
Keyword(s):  
Artificial Intelligence ◽  
Medical Errors ◽  
Outcome Prediction ◽  
Neurocritical Care ◽  
Healthcare Delivery ◽  
Future Trends ◽  
Surgical Disease ◽  
The Past ◽  
Monitoring Treatment ◽  
Applications Of Ai

AbstractArtificial intelligence (AI) already influences almost every sector of our daily life, including the rapidly evolving technologies and datasets of healthcare delivery. The applications in medicine have significantly evolved over the past few decades and have shown promising results. Despite constant efforts to incorporate AI into the field of anesthesiology since its inception, it is still not commonplace. Neuroanesthesiology and neurocritical care is a discipline of medicine that deals with patients having disorders of the nervous system comprising a complex combination of both medical and surgical disease conditions. AI can be used for better monitoring, treatment, and outcome prediction, thereby reducing healthcare costs, minimizing delays in patient management, and avoiding medical errors. In this review, we have discussed the applications of AI and its potential in aiding the clinician’s judgment in several aspects of neuroanesthesiology and neurocritical care, some of the barriers to its implementation, and the future trends in improving education in this field, all of which will require further work to understand its exact scope.

Artificial intelligence: scope, players, markets and geography

2019 ◽  
Vol 21 (3) ◽  
pp. 208-237 ◽  
Author(s):  
Jean Paul Simon
Keyword(s):  
Artificial Intelligence ◽  
Design Methodology ◽  
Scientific Literature ◽  
Comprehensive Overview ◽  
Content Type ◽  
The Past ◽  
Expert Opinions ◽  
Industrial Sectors ◽  
Desk Research ◽  
The Eu

Purpose This paper aims to clarify the notion of artificial intelligence (AI), reviewing the present scope of the phenomenon through its main applications. It aims at describing the various applications while assessing the markets, highlighting some of the leading industrial sectors in the field. Therefore, it identifies pioneering companies and the geographical distribution of AI companies. Design/methodology/approach The paper builds upon an in-depth investigation of public initiatives focusing mostly on the EU. It is based on desk research, a comprehensive review of the main grey and scientific literature in this field. Findings The paper notes that there is no real consensus on any definition for this umbrella term, that the definition does fluctuate over time but highlights some of the main changes and advances that took place over the past 60 years. It stresses that, in spite of the hype, on both the business and consumer sides, the demand appears uncertain. The scope of the announced disruptions is not easy to assess, technological innovation associated with AI may be modest or take some time to be fully deployed. However, some companies and regions are leading already in the field. Research limitations/implications The paper, based on desk research, does not consider any expert opinions. Besides, the scientific literature on the phenomenon is still scarce (but not the technical one in the specific research sectors of AI). Most of the data come from consultancies or government publications which may introduce some bias, although the paper gathered various, often conflicting viewpoints. Originality/value The paper gives a thorough review of the available literature (consultancies, governments) stressing the limitations of the available research on economic and social aspects. It aims at providing a comprehensive overview of the major trends in the field. It gives a global overview of companies and regions.

Intelligence, Artificial and Otherwise

2019 ◽  
Vol 24 (2) ◽  
pp. 241-258
Author(s):  
Paul Dumouchel
Keyword(s):  
Artificial Intelligence ◽  
Human Intelligence

The idea of artificial intelligence implies the existence of a form of intelligence that is “natural,” or at least not artificial. The problem is that intelligence, whether “natural” or “artificial,” is not well defined: it is hard to say what, exactly, is or constitutes intelligence. This difficulty makes it impossible to measure human intelligence against artificial intelligence on a unique scale. It does not, however, prevent us from comparing them; rather, it changes the sense and meaning of such comparisons. Comparing artificial intelligence with human intelligence could allow us to understand both forms better. This paper thus aims to compare and distinguish these two forms of intelligence, focusing on three issues: forms of embodiment, autonomy and judgment. Doing so, I argue, should enable us to have a better view of the promises and limitations of present-day artificial intelligence, along with its benefits and dangers and the place we should make for it in our culture and society.

Comparative Analysis of Machine Learning Techniques Using Predictive Modeling

2020 ◽  
Vol 13 ◽  
Author(s):  
Ritu Khandelwal ◽  
Hemlata Goyal ◽  
Rajveer Singh Shekhawat
Keyword(s):  
Machine Learning ◽  
Comparative Analysis ◽  
Data Science ◽  
Training Data ◽  
Machine Learning Techniques ◽  
Future Trends ◽  
Data Set ◽  
Learning Stage ◽  
Learning Techniques ◽  
Different Types

Introduction: Machine learning is an intelligent technology that works as a bridge between businesses and data science. With the involvement of data science, the business goal focuses on findings to get valuable insights on available data. The large part of Indian Cinema is Bollywood which is a multi-million dollar industry. This paper attempts to predict whether the upcoming Bollywood Movie would be Blockbuster, Superhit, Hit, Average or Flop. For this Machine Learning techniques (classification and prediction) will be applied. To make classifier or prediction model first step is the learning stage in which we need to give the training data set to train the model by applying some technique or algorithm and after that different rules are generated which helps to make a model and predict future trends in different types of organizations. Methods: All the techniques related to classification and Prediction such as Support Vector Machine(SVM), Random Forest, Decision Tree, Naïve Bayes, Logistic Regression, Adaboost, and KNN will be applied and try to find out efficient and effective results. All these functionalities can be applied with GUI Based workflows available with various categories such as data, Visualize, Model, and Evaluate. Result: To make classifier or prediction model first step is learning stage in which we need to give the training data set to train the model by applying some technique or algorithm and after that different rules are generated which helps to make a model and predict future trends in different types of organizations Conclusion: This paper focuses on Comparative Analysis that would be performed based on different parameters such as Accuracy, Confusion Matrix to identify the best possible model for predicting the movie Success. By using Advertisement Propaganda, they can plan for the best time to release the movie according to the predicted success rate to gain higher benefits. Discussion: Data Mining is the process of discovering different patterns from large data sets and from that various relationships are also discovered to solve various problems that come in business and helps to predict the forthcoming trends. This Prediction can help Production Houses for Advertisement Propaganda and also they can plan their costs and by assuring these factors they can make the movie more profitable.

Impact of Globalisation on Pandemics: A comparative study on SARS and Covid-19 (Preprint)

2020 ◽  
Author(s):  
Johann Johann And Devika
Keyword(s):  
Comparative Analysis ◽  
Comparative Study ◽  
Descriptive Analysis ◽  
Qualitative Comparative Analysis ◽  
Global Scale ◽  
Global Level ◽  
Economic Stability ◽  
The Past ◽  
The World ◽  
Close Relationship

BACKGROUND Since November 2019, Covid - 19 has spread across the globe costing people their lives and countries their economic stability. The world has become more interconnected over the past few decades owing to globalisation and such pandemics as the Covid -19 are cons of that. This paper attempts to gain deeper understanding into the correlation between globalisation and pandemics. It is a descriptive analysis on how one of the factors that was responsible for the spread of this virus on a global scale is globalisation. OBJECTIVE - To understand the close relationship that globalisation and pandemics share. - To understand the scale of the spread of viruses on a global scale though a comparison between SARS and Covid -19. - To understand the sale of globalisation present during SARS and Covid - 19. METHODS A descriptive qualitative comparative analysis was used throughout this research. RESULTS Globalisation does play a significant role in the spread of pandemics on a global level. CONCLUSIONS - SARS and Covid - 19 were varied in terms of severity and spread. - The scale of globalisation was different during the time of SARS and Covid - 19. - Globalisation can be the reason for the faster spread in Pandemics.

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