scholarly journals Mapping India’s AI Potential

2021 ◽  
Author(s):  
Husanjot Chahal ◽  
Sara Abdulla ◽  
Jonathan Murdick ◽  
Ilya Rahkovsky
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Research Community ◽  
Massive Information ◽  
Information Technology Workforce

With its massive information technology workforce, thriving research community and a growing technology ecosystem, India has a significant stake in the development of artificial intelligence globally. Drawing from a variety of original CSET datasets, the authors evaluate India’s potential for AI by examining its progress across five categories of indicators pertinent to AI development: talent, research, patents, companies and investments, and compute.

DEVELOPING THE SCIENTIFIC MAGAZINE IN THE PERIOD OF THE FOURTH INDUSTRIAL REVOLUTION 4.0

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Nguyen Duy Dung
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Industrial Revolution ◽  
Scientific Journal ◽  
Publishing Research ◽  
The Other ◽  
High Tech ◽  
Fourth Industrial Revolution ◽  
Socio Economic Development ◽  
International Scientific Journal

Characteristics of the industrial revolution 4.0 is the wide application of high-tech achievements, especially information technology, digitalization, artificial intelligence, network connections for management to create sudden changes in socio-economic development of many countries. Therefore, to reach the high-tech time, many magazines in Vietnam have changed dramatically, striving to reach the international scientific journal system of ISI, Scopus. The publication of international standard scientific journal will meet the demand of publishing research results of local scientists, on the other hand contribute to strengthening exchange, cooperation, international integration in science and technology.

Artificial intelligence and the radiologist: the future in the Armed Forces Medical Services

2019 ◽  
pp. jramc-2018-001055
Author(s):  
Debraj Sen ◽  
R Chakrabarti ◽  
S Chatterjee ◽  
D S Grewal ◽  
K Manrai
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Cyber Security ◽  
Tertiary Care ◽  
Armed Forces ◽  
Medical Services ◽  
Imaging Biomarkers ◽  
Imaging Data ◽  
Adequate Funding ◽  
Trained Manpower

Artificial intelligence (AI) involves computational networks (neural networks) that simulate human intelligence. The incorporation of AI in radiology will help in dealing with the tedious, repetitive, time-consuming job of detecting relevant findings in diagnostic imaging and segmenting the detected images into smaller data. It would also help in identifying details that are oblivious to the human eye. AI will have an immense impact in populations with deficiency of radiologists and in screening programmes. By correlating imaging data from millions of patients and their clinico-demographic-therapy-morbidity-mortality profiles, AI could lead to identification of new imaging biomarkers. This would change therapy and direct new research. However, issues of standardisation, transparency, ethics, regulations, training, accreditation and safety are the challenges ahead. The Armed Forces Medical Services has widely dispersed units, medical echelons and roles ranging from small field units to large static tertiary care centres. They can incorporate AI-enabled radiological services to subserve small remotely located hospitals and detachments without posted radiologists and ease the load of radiologists in larger hospitals. Early widespread incorporation of information technology and enabled services in our hospitals, adequate funding, regular upgradation of software and hardware, dedicated trained manpower to manage the information technology services and train staff, and cyber security are issues that need to be addressed.

“There is Nothing New in Cyberspace” a Motion for Debate

1992 ◽  
Vol 36 (14) ◽  
pp. 1049-1049 ◽  
Author(s):  
Maxwell J. Wells
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Virtual Reality ◽  
Human Computer Interaction ◽  
Cold Fusion ◽  
Major Advance ◽  
Junk Bonds ◽  
Exciting Development ◽  
Computer Interaction ◽  
The Way

Cyberspace is the environment created during the experience of virtual reality. Therefore, to assert that there is nothing new in cyberspace alludes to there being nothing new about virtual reality. Is this assertion correct? Is virtual reality an exciting development in human-computer interaction, or is it simply another example of effective simulation? Does current media interest herald a major advance in information technology, or will virtual reality go the way of artificial intelligence, cold fusion and junk bonds? Is virtual reality the best thing since sliced bread, or is it last week's buns in a new wrapper?

scholarly journals Healthcare Applications of Artificial Intelligence and Analytics: A Review and Proposed Framework

2020 ◽  
Vol 10 (18) ◽  
pp. 6553
Author(s):  
Sabrina Azzi ◽  
Stéphane Gagnon ◽  
Alex Ramirez ◽  
Gregory Richards
Keyword(s):  
Artificial Intelligence ◽  
Chronic Care ◽  
Review Paper ◽  
Research Community ◽  
Patient Needs ◽  
Care Needs ◽  
Healthcare Applications ◽  
Medical Specialties ◽  
The Past ◽  
Promising Application

Healthcare is considered as one of the most promising application areas for artificial intelligence and analytics (AIA) just after the emergence of the latter. AI combined to analytics technologies is increasingly changing medical practice and healthcare in an impressive way using efficient algorithms from various branches of information technology (IT). Indeed, numerous works are published every year in several universities and innovation centers worldwide, but there are concerns about progress in their effective success. There are growing examples of AIA being implemented in healthcare with promising results. This review paper summarizes the past 5 years of healthcare applications of AIA, across different techniques and medical specialties, and discusses the current issues and challenges, related to this revolutionary technology. A total of 24,782 articles were identified. The aim of this paper is to provide the research community with the necessary background to push this field even further and propose a framework that will help integrate diverse AIA technologies around patient needs in various healthcare contexts, especially for chronic care patients, who present the most complex comorbidities and care needs.

scholarly journals Characteristics of the healthcare information technology workforce in the HITECH era: underestimated in size, still growing, and adapting to advanced uses

JAMIA Open ◽  
2018 ◽  
Vol 1 (2) ◽  
pp. 188-194 ◽  
Author(s):  
William R Hersh ◽  
Keith W Boone ◽  
Annette M Totten
Keyword(s):  
Information Technology ◽  
Weighted Average ◽  
Full Time ◽  
Healthcare Information Technology ◽  
Full Time Equivalent ◽  
Healthcare Information ◽  
Hospital Size ◽  
Average Analysis ◽  
Size Growth ◽  
Information Technology Workforce

Abstract Objective There is little readily available data about the size and characteristics of the healthcare information technology workforce. We sought to update a previous description of the size, growth, and characteristics of this workforce based on the Healthcare Information Management Systems Society (HIMSS) Analytics® Database, a resource that includes hospital size, number of beds, amount of staffing, and an eight-stage model of electronic health record adoption (Electronic Medical Record Adoption Model, EMRAM℠). Materials and Methods We updated an analysis done using a 2007 snapshot of the HIMSS Analytics Database with a comparable snapshot from 2014 in order to estimate the size of the current workforce and project future needs. For the 2014 data, we applied the same weighted average analysis used in 2007 to obtain a ratio of information technology (IT) hospital full-time equivalent (FTE) to staffed beds, extrapolate the results to all US hospitals, and project the workforce needs as hospitals achieve higher EMRAM stages. Results Our estimated size of the healthcare information technology workforce in the US in 2014 was 161 160, which was 8.0% larger than the estimate based on the 2007 data. Based on the new data, we project a potential need for an additional 19 852 and 153 114 FTE, if all hospitals were to achieve EMRAM Stages 6 and 7, respectively. The distribution of FTE across job function category varies by EMRAM stage. Discussion and Conclusions Although these data are limited, especially for EMRAM Stage 7, there is likely need for substantial workforce growth as hospitals increase their adoption of advanced healthcare information technology. Further research with data better focused on workforce characteristics will provide a better picture of staffing requirements.

scholarly journals Me, My Bot and His Other (Robot) Woman? Keeping Your Robot Satisfied in the Age of Artificial Emotion

Robotics ◽  
2018 ◽  
Vol 7 (3) ◽  
pp. 44 ◽  
Author(s):  
Rebekah Rousi
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Science Fiction ◽  
Sexual Partners ◽  
Sex Robots ◽  
Artificial Emotions ◽  
The Future ◽  
The Relationship ◽  
And Robotics

With a backdrop of action and science fiction movie horrors of the dystopian relationship between humans and robots, surprisingly to date-with the exception of ethical discussions-the relationship aspect of humans and sex robots has seemed relatively unproblematic. The attraction to sex robots perhaps is the promise of unproblematic affectionate and sexual interactions, without the need to consider the other’s (the robot’s) emotions and indeed preference of sexual partners. Yet, with rapid advancements in information technology and robotics, particularly in relation to artificial intelligence and indeed, artificial emotions, there almost seems the likelihood, that sometime in the future, robots too, may love others in return. Who those others are-whether human or robot-is to be speculated. As with the laws of emotion, and particularly that of the cognitive-emotional theory on Appraisal, a reality in which robots experience their own emotions, may not be as rosy as would be expected.

scholarly journals KECERDASAN BUATAN MANUSIA (ARTIFICIAL INTELLIGENCE); TEKNOLOGI IMPIAN MASA DEPAN

2018 ◽  
Vol 9 (2) ◽  
pp. 257-274
Author(s):  
Ririen Kusumawati
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Human Brain ◽  
Computer Technology ◽  
Computer Software ◽  
Software Tool ◽  
Human Form ◽  
Natural Approach ◽  
Collaborative Art ◽  
Software And Hardware

The computer technology has incredibly increased. Computer software and hardware compete to meet the customer's needs. The research intends to spread the knowledge of information technology, specifically, on the artificial intelligence. The concept of artificial intelligence is adopting and imitating human form, character, and habit which to be implemented on the computer. Using natural approach, the research aims to investigate whether artificial intelligence (AI) will produce the duplication of God's creation. Another important reason of other reseaches on AI is to create a computer which is smart and able to understand human brain working system. Hence, AI has been designed into more practical with faster CPU, cheaper mass memory, and sophisticated software tool. The concept of integrating AI science or collaborative art among sub-fields of technology will stimulate and lead to further AI researches, and it will be an interesting topic for AI researchers for developing AI technology in the future.

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