The Exploratory Study for the Application of Artificial Intelligence in Curling

2017 ◽  
Vol 56 (6) ◽  
pp. 583-594
Author(s):  
SungGeon Park ◽  
Soowon Lee ◽  
Hyoung-Ki Yoon
Keyword(s):  
Artificial Intelligence ◽  
Exploratory Study

Investigating Determinants of Industry–University Collaboration in an Open Innovation Context: Comparative Evidence from an Exploratory Study

2021 ◽  
pp. 097172182110204
Author(s):  
Calin Florin Baban ◽  
Marius Baban ◽  
Adalberto Rangone
Keyword(s):  
Artificial Intelligence ◽  
Fuzzy Logic ◽  
Open Innovation ◽  
Exploratory Study ◽  
Correlation Matrices ◽  
Related Literature ◽  
Industrial Areas ◽  
The Impact ◽  
Intelligence Approach ◽  
Artificial Intelligence Approach

In an open innovation (OI) paradigm, universities are considered as important sources of external scientific knowledge for industry, and comparative study of such collaboration can result in more effective and efficient employment of OI. Within this framework, this study explores how the determinants of collaboration between industry and universities in an open context of innovation are addressed by firms within industrial areas. For this purpose, a conceptual framework of industry–university determinants in an open context of innovation is developed from the related literature. Taking into consideration the determinants integrated into the framework, this study compares motives, barriers, channels of knowledge transfer, benefits and drawbacks of such collaboration in two Italian and Romanian industrial areas. Comparative differences in each OI determinant between the firms from the two Italian and Romanian industrial areas are analysed. The associations among the study determinants are also investigated based on correlation matrices among the five determinants in both Italian and Romanian firms. An artificial intelligence approach based on fuzzy logic was developed to predict the impact of the study determinants on the perception of universities as a source for OI activities of firms.

scholarly journals Artificial Intelligence and Broadband Development through the Asia-Pacific Information Superhighway

2018 ◽  
Vol 2 (2) ◽  
pp. 1
Author(s):  
Atsuko Okuda ◽  
Siope Vakataki ‘Ofa
Keyword(s):  
Artificial Intelligence ◽  
Exploratory Study ◽  
Regional Cooperation ◽  
Income Level ◽  
Asia Pacific ◽  
Policy Recommendations ◽  
Information Superhighway ◽  
Broadband Networks ◽  
The Pacific

This exploratory study aims to identify the main characteristics and relationships between artificial intelligence (AI) and broadband development in Asia and the Pacific. Broadband networks are the foundation and prerequisite for the development of AI. But what types of broadband networks would be conducive are not adequately discussed so far. Furthermore, in addition to broadband networks, other factors, such as income level, broadband quality, and investment, are expected to influence the uptake of AI in the region. The findings are synthesized into a set of policy recommendations at the end of the article, which highlights the need for regional cooperation through an initiative, such as the Asia-Pacific Information Superhighway (AP-IS). 

Creepy Technologies and the Privacy Issues of Invasive Technologies

2020 ◽  
pp. 243-268
Author(s):  
Rochell R. McWhorter ◽  
Elisabeth E. Bennett
Keyword(s):  
Artificial Intelligence ◽  
Exploratory Study ◽  
New Technology ◽  
Public And Private ◽  
Corporate Networks ◽  
Consumer Privacy ◽  
The Public ◽  
Mistaken Identity ◽  
Current Trends ◽  
Privacy Issues

Technology has become increasingly invasive and corporate networks are expanding into public and private spaces to collect unprecedented data and provide new services such as artificial intelligence and through unsettling human-like personas. The term “creepy technology” is appearing in the literature along with concerns for privacy, ethical boundaries, cybersecurity, and mistaken identity but is also in news articles to inform the public about technology advances that affect consumer privacy. Invasive technology provides the impetus for external adaptation for many organizations and current trends require rapid adaption to potential threats to security. Also, usability addresses how users respond and adapt to new technology. This chapter includes the presentation of an exploratory study of how the public responded to various technology announcements (N=689 responses) and results indicated a significant response to invasive technologies and some sense of freedom to opine. This chapter also provides discussion of interventions that are critical to both public and private sectors.

Artificial Intelligence and the Evolution of Managerial Skills: An Exploratory Study

2021 ◽  
pp. 307-317
Author(s):  
Laurent Giraud ◽  
Ali Zaher ◽  
Selena Hernandez ◽  
Akram Al Ariss
Keyword(s):  
Artificial Intelligence ◽  
Exploratory Study ◽  
Managerial Skills

INTELIGÊNCIA ARTIFICIAL APLICADA À OTIMIZAÇÃO DO DIAGNÓSTICO POR IMAGEM

2021 ◽  
Author(s):  
SDAG Lab
Keyword(s):  
Artificial Intelligence ◽  
Labor Market ◽  
Health Professionals ◽  
Medical Diagnosis ◽  
Exploratory Study ◽  
Imaging Diagnosis ◽  
Use Of Technology ◽  
The Future ◽  
Evolution Of Technology

The use of technology for imaging has grown and optimized the quality of the diagnostics, speed of the examinations, and the level of dose for the patients. This work was developed using the exploratory study standard, through a bibliographical research of materials already produced, and aims to verify the presence of Artificial Intelligence (IA) applied to radiology as a means of optimizing the imaging diagnosis and awakening the professionals of the area on the evolution of technology to obtain a better medical diagnosis, concluding that, in the future, it may be required to adapt them to their insertion or permanence in the labor market, showing the importance of AI in radiology so that health professionals must develop in this area, since its application can bring great benefits to humanity.

Exploratory Study of the Role of Emerging Technologies in Outsourcing of Supply Chain Functions

2021 ◽  
Vol 11 (2) ◽  
pp. 71-98
Author(s):  
Som Sekhar Bhattacharyya ◽  
Prasad Mandke
Keyword(s):  
Artificial Intelligence ◽  
Supply Chain ◽  
Exploratory Study ◽  
Emerging Technologies ◽  
Structured Interviews ◽  
Chain Management ◽  
Thematic Content Analysis ◽  
Expert Interview ◽  
Structured Literature Review

Emerging technologies (ETs) like blockchain technologies (BCT), internet of things (IoT), artificial intelligence (AI), machine learning (ML), and others offered promising new avenues to improve productivity, efficiency, and convenience in supply chain management (SCM) functions. The authors conducted a structured literature review to identify the researchable gaps. Subsequently, in-depth semi-structured interviews with 23 SCM experts from Indian organizations who were implementing ETs were conducted to secure expert insights. The authors then conducted thematic content analysis of the expert interview responses and presented the findings. The authors presented an integrated framework by incorporating process, activities, and resource-based considerations while making sourcing decisions involving emerging technologies in SCM functions.

Adopting robot lawyer? The extending artificial intelligence robot lawyer technology acceptance model for legal industry by an exploratory study

2019 ◽  
pp. 1-19 ◽  
Author(s):  
Ni Xu ◽  
Kung-Jeng Wang
Keyword(s):  
Artificial Intelligence ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Exploratory Study ◽  
Two Dimensions ◽  
Legal Services ◽  
Legal Service ◽  
Human Beings ◽  
Semistructured Interviews ◽  
Acceptance Model

Abstract The development of artificial intelligence has created new opportunities and challenges in industries. The competition between robots and humans has elicited extensive attention among legal researchers. In this exploratory study, we addressed issues regarding the introduction of robots to the practice of legal service through a semistructured interviews with lawyers, judges, artificial intelligence experts, and potential clients. An extended robot lawyer technology acceptance model with five facets and 11 elements is proposed in this study. This model highlights two dimensions: ‘legal use’ and ‘perception of trust.’ In summary, this study provides new specific implications and exhibits three characteristics, namely, derivative, macroscopic, and instructive, in the legal services with artificial intelligence. In addition, artificial intelligence robot lawyers are being developed with some of the abilities necessary to substitute for human beings. Nevertheless, working with human lawyers is imperative to produce benefits from this type of reciprocity.

scholarly journals 0541 Exploratory Study of Closed-Loop, Artificial Intelligence Driven Neurotechnology Improves Self-Reported Symptoms of Insomnia, Stress, and Anxiety in First Responders

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A207-A207
Author(s):  
C L Tegeler ◽  
L J Howard ◽  
K L Brown ◽  
D C Kellar ◽  
H A Shaltout ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Law Enforcement ◽  
Exploratory Study ◽  
Randomized Clinical Trials ◽  
First Responders ◽  
Post Intervention ◽  
Work Related ◽  
Core Technology ◽  
Report Symptom ◽  
Symptom Changes

Abstract Introduction First responders (FR) have decreased life expectancy, attributed to work-related exposure to traumatic stress and circadian disruption. In prior studies, High-resolution, relational, resonance-based, electroencephalic mirroring (HIRREM®) reduced symptoms and improved heart rate variability (HRV) in law enforcement personnel. HIRREM is operator dependent, difficult to scale, and many medications were excluded for prior studies. Cereset Research™ (CR) uses HIRREM core technology, echoing tones linked to brainwaves, with updated components, artificial intelligence (AI) driven protocols, and software management of designs to improve scalability. We report symptom changes in a series of first responders enrolled in an exploratory study evaluating CR for self-reported symptoms of insomnia, stress, or anxiety, including subjects taking previously excluded medications. Methods 11 adults (4 females) meeting criteria for insomnia (ISI, of ≥8 points for ≥1 month), stress (PSS of ≥14), or anxiety (GAD-7 of ≥5), who are also FR, enrolled in this ongoing exploratory trial. Subjects receive six to twelve 60 minute sessions of CR, plus continued current care. Data collection is at baseline (V1), 0-21 days post-intervention (V2), 4-7 weeks later (V3), and 4-7 weeks thereafter (V4). Primary outcome is change in autonomic cardiovascular regulation at V3, with change in ISI, PSS, GAD-7, CES-D, and PCL-C as secondary outcomes. We report interim results for symptom outcomes at V3. HRV and baroreflex sensitivity results are pending. Results 2 dropped out during follow-up. For n=9, median change from V1 to V3 ISI score: -6; PSS score: -4; GAD-7: -4; CES-D: -3; and PCL-C: -8. The cohort moved to no anxiety and low stress categories from V1 to V3. Conclusion Results suggest relevant symptom reductions among FR following use of CR, as seen previously with HIRREM for law enforcement, even with additional medications. This informs future randomized clinical trials using this scalable, non-drug intervention. Updated results will be presented. Support: Support Research grant received from, The Susanne Marcus Collins Foundation, Inc.

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