scholarly journals Digital Technology in Diagnostic Breast Pathology and Immunohistochemistry

Pathobiology ◽  
2021 ◽  
pp. 1-9
Author(s):  
Emad A. Rakha ◽  
Konstantinos Vougas ◽  
Puay Hoon Tan
Keyword(s):  
Artificial Intelligence ◽  
Digital Technology ◽  
Voice Recognition ◽  
Digital Data ◽  
Recent Application ◽  
Whole Slide Imaging ◽  
Breast Pathology ◽  
Digital Data Processing ◽  
Computer Vision Technology ◽  
Recognition Systems

Digital technology has been used in the field of diagnostic breast pathology and immunohistochemistry (IHC) for decades. Examples include automated tissue processing and staining, digital data processing, storing and management, voice recognition systems, and digital technology-based production of antibodies and other IHC reagents. However, the recent application of whole slide imaging technology and artificial intelligence (AI)-based tools has attracted a lot of attention. The use of AI tools in breast pathology is discussed briefly as it is covered in other reviews. Here, we present the main application of digital technology in IHC. This includes automation of IHC staining, using image analysis systems and computer vision technology to interpret IHC staining, and the use of AI-based tools to predict marker expression from haematoxylin and eosin-stained digitalized images.

Transformation of the Personnel Management System in the Conditions of Digitalization of HR Processes

2021 ◽  
Vol 39 (6) ◽  
Author(s):  
Sergii Kholod ◽  
Valentyna Pavlova ◽  
Anhelina Spitsyna ◽  
Yuliia Maistrenko ◽  
Oksana Anufrieva ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Personnel Management ◽  
Digital Technology ◽  
Management System ◽  
Digital Data ◽  
Ability To Work ◽  
Hr Management ◽  
Innovative Solutions ◽  
Personnel Management System ◽  
The Impact

Human capital is the driving force behind the digital economy. The use of digital technology has a significant impact on the entire life cycle of personnel in an organization, including hiring, onboarding, and firing. The authors examined the essence of the personnel management system, various models for building a personnel management system in an organization, and studied applying a particular model for a specific organization. The authors studied and visually presented the features of objects, subjects and goals of the personnel management system. The authors also examined the impact of digitalization on the personnel management system, what requirements are imposed on personnel's professional competencies, and new and already used trends in HR automation and recruiting that will help to work better and more efficiently. Generalization of theoretical and empirical experience, cognitive technologies based on the use of artificial intelligence and digital data in HR management allowed the authors to highlight innovative solutions and propose an algorithm for transforming the personnel management system in the context of digitalization of HR processes. Besides, the authors proposed criteria and a scale for assessing the effectiveness of the transformation of the personnel management system in the context of the digitalization of HR processes. Thanks to this, as well as the use of such elements in the framework of personnel management as cloud technology, the ability to work remotely, big data, social media and artificial intelligence, companies, can increase their lead over competitors.

scholarly journals Speak2Code: A Multi-Utility Program based on Speech Recognition that Allows you to Code Through Speech Commands

2021 ◽  
pp. 46-50
Author(s):  
Ronald Maryan Rodriques
Keyword(s):  
Artificial Intelligence ◽  
Speech Recognition ◽  
Visually Impaired ◽  
Voice Recognition ◽  
Integrated Development Environment ◽  
Development Environment ◽  
Integrated Development ◽  
Utility Program ◽  
Recognition Systems ◽  
Chat Bot

Voice recognition has gained prominence and extensive use with the rise of Artificial Intelligence and that of the intelligent assistants such as Amazon's Alexa, Apple’s Siri and Microsoft's Cortana. Voice recognition systems enable Coders to interact with IDEs, Coding platforms, and tools related to Programming platforms simply by speaking to it. It is also extremely useful for hands free requests, reminders and other simple tasks. In this paper, the researcher has developed a program that simply elevates the use of speech commands to Code efficiently in the Integrated Development Environment and also to handle other related computer activities through the use of a Chat-Bot interface. The researcher has used Microsoft’s Speech Engine for Speech Recognition and Synthesis. This Research can prove immensely beneficial for ‘Visually Impaired Developers’ in the field of Computer Programming by helping them to code and accomplish huge coding possibilities, and challenges before them. This research would prove beneficial with a viewpoint of the concept also called as ‘Distant-Coding’ or ‘Remote-Coding’ in which the programmer can code from a remote place without been present in actual at the Company.

Technical trends of artificial intelligence in standard-essential patents

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shu-Hao Chang
Keyword(s):  
Artificial Intelligence ◽  
Temporal Trends ◽  
Digital Data ◽  
Digital Information ◽  
Content Type ◽  
Standard Essential Patents ◽  
The Status ◽  
Digital Data Processing ◽  
The Usa ◽  
Development Resource

PurposeDefining key artificial intelligence (AI) technologies is especially fundamental because AI applications involve the development of multiple technical fields and have the potential to generate numerous business opportunities in the future. However, most related studies have examined patent grants granted by or patent applications filed to major patent offices; few studies have employed the perspective of standard-essential patents (SEPs) from a holistic technical view. In addition, because few studies have explored the status signals of countries in relation to SEPs, the present study integrated “country” into the model and determined differences among countries in terms of their technological focus.Design/methodology/approachIn this study, through patent technological network analysis in various periods, the author not only observed the focus fields of AI-related SEPs but also examined temporal trends to determine technical development trends.FindingsThis study identified technologies that have been key players in the SEP network in recent years; these technologies were centered on electric digital data processing, recognition of data and transmission of digital information. Moreover, many of these technologies have been applied in areas such as management and commerce and radio navigation. Furthermore, the USA plays a crucial role in the global development of AI technical network.Originality/valueThis study constructs a technical network model to identify key technologies and trends that can serve as a reference for national research and development resource allocation.

Europe

2020 ◽  
pp. 649-666
Author(s):  
Andrea Renda
Keyword(s):  
Artificial Intelligence ◽  
Digital Technology ◽  
Policy Framework ◽  
Expert Group ◽  
Ethical Guidelines ◽  
Ethical Implications ◽  
Strong Focus ◽  
Ethics Guidelines ◽  
Definition Of ◽  
High Level

This chapter assesses Europe’s efforts in developing a full-fledged strategy on the human and ethical implications of artificial intelligence (AI). The strong focus on ethics in the European Union’s AI strategy should be seen in the context of an overall strategy that aims at protecting citizens and civil society from abuses of digital technology but also as part of a competitiveness-oriented strategy aimed at raising the standards for access to Europe’s wealthy Single Market. In this context, one of the most peculiar steps in the European Union’s strategy was the creation of an independent High-Level Expert Group on AI (AI HLEG), accompanied by the launch of an AI Alliance, which quickly attracted several hundred participants. The AI HLEG, a multistakeholder group including fifty-two experts, was tasked with the definition of Ethics Guidelines as well as with the formulation of “Policy and Investment Recommendations.” With the advice of the AI HLEG, the European Commission put forward ethical guidelines for Trustworthy AI—which are now paving the way for a comprehensive, risk-based policy framework.

scholarly journals Digital Technology Differentiates Graphomotor and Information Processing Speed Patterns of Behavior

2021 ◽  
Vol 82 (1) ◽  
pp. 17-32 ◽  
Author(s):  
Stacy L. Andersen ◽  
Benjamin Sweigart ◽  
Nancy W. Glynn ◽  
Mary K. Wojczynski ◽  
Bharat Thyagarajan ◽  
...  
Keyword(s):  
Information Processing ◽  
Physical Function ◽  
Digital Technology ◽  
Test Scores ◽  
Neuropsychological Test ◽  
Apoe Genotype ◽  
Digital Data ◽  
Cognitive Test ◽  
Digit Symbol Substitution Test ◽  
Information Processing Speed

Background: Coupling digital technology with traditional neuropsychological test performance allows collection of high-precision metrics that can clarify and/or define underlying constructs related to brain and cognition. Objective: To identify graphomotor and information processing trajectories using a digitally administered version of the Digit Symbol Substitution Test (DSST). Methods: A subset of Long Life Family Study participants (n = 1,594) completed the DSST. Total time to draw each symbol was divided into ‘writing’ and non-writing or ‘thinking’ time. Bayesian clustering grouped participants by change in median time over intervals of eight consecutively drawn symbols across the 90 s test. Clusters were characterized based on sociodemographic characteristics, health and physical function data, APOE genotype, and neuropsychological test scores. Results: Clustering revealed four ‘thinking’ time trajectories, with two clusters showing significant changes within the test. Participants in these clusters obtained lower episodic memory scores but were similar in other health and functional characteristics. Clustering of ‘writing’ time also revealed four performance trajectories where one cluster of participants showed progressively slower writing time. These participants had weaker grip strength, slower gait speed, and greater perceived physical fatigability, but no differences in cognitive test scores. Conclusion: Digital data identified previously unrecognized patterns of ‘writing’ and ‘thinking’ time that cannot be detected without digital technology. These patterns of performance were differentially associated with measures of cognitive and physical function and may constitute specific neurocognitive biomarkers signaling the presence of subtle to mild dysfunction. Such information could inform the selection and timing of in-depth neuropsychological assessments and help target interventions.

scholarly journals Applications of Robotics, AI, and Digital Technologies During COVID-19: A Review

2021 ◽  
pp. 1-23
Author(s):  
Zhuo Zhao ◽  
Yangmyung Ma ◽  
Adeel Mushtaq ◽  
Abdul M. Azam Rajper ◽  
Mahmoud Shehab ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Technology Adoption ◽  
Digital Technology ◽  
Digital Technologies ◽  
Rapid Diagnosis ◽  
Quick Response ◽  
Virus Spread ◽  
Future Directions ◽  
Public Areas ◽  
Potential Impact

Abstract Many countries have enacted a quick response to the unexpected COVID-19 pandemic by utilizing existing technologies. For example, robotics, artificial intelligence, and digital technology have been deployed in hospitals and public areas for maintaining social distancing, reducing person-to-person contact, enabling rapid diagnosis, tracking virus spread, and providing sanitation. In this paper, 163 news articles and scientific reports on COVID-19-related technology adoption were screened, shortlisted, categorized by application scenario, and reviewed for functionality. Technologies related to robots, artificial intelligence, and digital technology were selected from the pool of candidates, yielding a total of 50 applications for review. Each case was analyzed for its engineering characteristics and potential impact on the COVID-19 pandemic. Finally, challenges and future directions regarding the response to this pandemic and future pandemics were summarized and discussed.

scholarly journals The digital data processing concepts of the LOFT mission

2014 ◽  
Author(s):  
C. Tenzer ◽  
A. Argan ◽  
A. Cros ◽  
Y. Favre ◽  
M. Gschwender ◽  
...  
Keyword(s):  
Data Processing ◽  
Digital Data ◽  
Digital Data Processing

scholarly journals Digitalization and Artificial Intelligence in Migration and Mobility: Transnational Implications of the COVID-19 Pandemic

Societies ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 135
Author(s):  
Marie McAuliffe ◽  
Jenna Blower ◽  
Ana Beduschi
Keyword(s):  
Artificial Intelligence ◽  
Human Rights ◽  
International Development ◽  
Digital Technology ◽  
Design Development ◽  
Systemic Risks ◽  
Challenges And Opportunities ◽  
The Subject ◽  
And Migration ◽  
Migration Systems

Digitalization and artificial intelligence (AI) technologies in migration and mobility have incrementally expanded over recent years. Iterative approaches to AI deployment experienced a surge during 2020 and into 2021, largely due to COVID-19 forcing greater reliance on advanced digital technology to monitor, inform and respond to the pandemic. This paper critically examines the implications of intensifying digitalization and AI for migration and mobility systems for a post-COVID transnational context. First, it situates digitalization and AI in migration by analyzing its uptake throughout the Migration Cycle. Second, the article evaluates the current challenges and, opportunities to migrants and migration systems brought about by deepening digitalization due to COVID-19, finding that while these expanding technologies can bolster human rights and support international development, potential gains can and are being eroded because of design, development and implementation aspects. Through a critical review of available literature on the subject, this paper argues that recent changes brought about by COVID-19 highlight that computational advances need to incorporate human rights throughout design and development stages, extending well beyond technical feasibility. This also extends beyond tech company references to inclusivity and transparency and requires analysis of systemic risks to migration and mobility regimes arising from advances in AI and related technologies.

Voice Assistants with Artificial Intelligence for Improving Academic English

2021 ◽  
Author(s):  
Vladimir Tregubov
Keyword(s):  
Artificial Intelligence ◽  
Comparative Analysis ◽  
Voice Recognition ◽  
Educational Process ◽  
Academic English ◽  
Academic Vocabulary ◽  
Active Mode ◽  
Specialized Software

The article describes applications of using voice recognition technology based on artificial intelligence to the educational process. The author presents a comparative analysis of existing examples artificial intelligence in the educational process. Artificial intelligence uses in specialized software it makes educational process more convenient for both the students and the teachers. There is a description of an application “Academic phrase bank" developed by author. The application consists of two specialising actions for Google assistant. The application allows to increase academic vocabulary, train of creating grammatically correct academic expressions, and memorize templates of academic phrases. In active mode, this application helps to create correct phrases of academic English and improve the abilities of understanding English speech.

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