scholarly journals Archives and AI: An Overview of Current Debates and Future Perspectives

2022 ◽  
Vol 15 (1) ◽  
pp. 1-15
Author(s):  
Giovanni Colavizza ◽  
Tobias Blanke ◽  
Charles Jeurgens ◽  
Julia Noordegraaf
Keyword(s):  
Artificial Intelligence ◽  
Digital Transformation ◽  
Digital Archives ◽  
Future Perspectives ◽  
Records Continuum ◽  
Emerging Trends ◽  
Recent Developments ◽  
Archival Systems ◽  
Records Continuum Model ◽  
Future Work

The digital transformation is turning archives, both old and new, into data. As a consequence, automation in the form of artificial intelligence techniques is increasingly applied both to scale traditional recordkeeping activities, and to experiment with novel ways to capture, organise, and access records. We survey recent developments at the intersection of Artificial Intelligence and archival thinking and practice. Our overview of this growing body of literature is organised through the lenses of the Records Continuum model. We find four broad themes in the literature on archives and artificial intelligence: theoretical and professional considerations, the automation of recordkeeping processes, organising and accessing archives, and novel forms of digital archives. We conclude by underlining emerging trends and directions for future work, which include the application of recordkeeping principles to the very data and processes that power modern artificial intelligence and a more structural—yet critically aware—integration of artificial intelligence into archival systems and practice.

Schottky diodes based on 2D materials for environmental gas monitoring: a review on emerging trends, recent developments and future perspectives

2021 ◽  
Author(s):  
Minu Mathew ◽  
Chandra Sekhar Rout
Keyword(s):  
Gas Sensing ◽  
2D Materials ◽  
Schottky Diodes ◽  
High Sensitivity ◽  
Future Perspectives ◽  
Working Temperature ◽  
Emerging Trends ◽  
Gas Sensing Properties ◽  
Recent Developments ◽  
Sensitivity And Selectivity

This review details the fundamentals, working principles and recent developments of Schottky junctions based on 2D materials to emphasize their improved gas sensing properties including low working temperature, high sensitivity, and selectivity.

Nanoribbons of 2D materials: A review on emerging trends, recent developments and future perspectives

2022 ◽  
Vol 453 ◽  
pp. 214335
Author(s):  
Pratik V. Shinde ◽  
Anjana Tripathi ◽  
Ranjit Thapa ◽  
Chandra Sekhar Rout
Keyword(s):  
2D Materials ◽  
Future Perspectives ◽  
Emerging Trends ◽  
Recent Developments

Multifunctional spinel MnCo2O4 based materials for energy storage and conversion: a review on emerging trends, recent developments and future perspectives

2021 ◽  
Author(s):  
Josué M. Gonçalves ◽  
Murillo N. T. Silva ◽  
Kusha Kumar Naik ◽  
Paulo R. Martins ◽  
Diego P. Rocha ◽  
...  
Keyword(s):  
Energy Storage ◽  
Electrode Materials ◽  
Energy Storage And Conversion ◽  
Sustainable Society ◽  
Future Perspectives ◽  
Emerging Trends ◽  
Recent Developments ◽  
The Way

In this review, electrocatalysts for HER/OER/ORR and energy storage electrode materials based on MnCo2O4 were reviewed considering their key multifunctional role in the way to a more sustainable society.

scholarly journals Artificial intelligence-aided colonoscopy: Recent developments and future perspectives

2020 ◽  
Vol 26 (47) ◽  
pp. 7436-7443
Author(s):  
Giulio Antonelli ◽  
Paraskevas Gkolfakis ◽  
Georgios Tziatzios ◽  
Ioannis S Papanikolaou ◽  
Konstantinos Triantafyllou ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Future Perspectives ◽  
Recent Developments

About digital transformation of the transport industry in Russia

2020 ◽  
Vol 19 (3) ◽  
pp. 95-105
Author(s):  
Natalia V. Vysotskaya ◽  
T. V. Kyrbatskaya
Keyword(s):  
Artificial Intelligence ◽  
Business Model ◽  
Data Science ◽  
Digital Transformation ◽  
Digital Culture ◽  
Blockchain Technology ◽  
Community Approach ◽  
Non Linear ◽  
Transport Industry ◽  
Artificial Intelligence Systems

The article is devoted to the consideration of the main directions of digital transformation of the transport industry in Russia. It is proposed in the process of digital transformation to integrate the community approach into the company's business model using blockchain technology and methods and results of data science; complement the new digital culture with a digital team and new communities that help management solve business problems; focus the attention of the company's management on its employees and develop those competencies in them that robots and artificial intelligence systems cannot implement: develop algorithmic, computable and non-linear thinking in all employees of the company.

Emerging Trends of Artificial Intelligence in South Asia and its Implications for Pakistan

2019 ◽  
Author(s):  
Shaza Arif
Keyword(s):  
Artificial Intelligence ◽  
South Asia ◽  
South Asian ◽  
Counter Measures ◽  
China And India ◽  
Emerging Trends ◽  
Military Modernization ◽  
Offensive Realism ◽  
Strategic Balance ◽  
Full Swing

Artificial Intelligence (AI) has emerged as a breakthrough technology which is astonishingly impressive. Major world powers are rapidly integrating AI in their military doctrines. This trend of militarization of AI can be seen in the South Asian region as well. Following the theoretical approach of offensive realism, China and India are in full swing to revolutionize their militaries with this emerging trend in order to accumulate maximum power and to satisfy their various interests. Consequently, Indian military modernization has the potential to provoke Pakistan to take counter measures. Pakistan is already encountering a number of challenges in economic sector and will face the strenuous task of accommodating a handsome financial share for the development of its AI capabilities. South Asia is a very turbulent region characterized by arch rivals who are also nuclear powers and have repeatedly indulged in various crises over the years. Introduction of AI in South Asia will have significant repercussions as it will trigger an arms race and at the same time disturb the strategic balance in the region.

Virtual Screening Meets Deep Learning

2018 ◽  
Vol 15 (1) ◽  
pp. 6-28 ◽  
Author(s):  
Javier Pérez-Sianes ◽  
Horacio Pérez-Sánchez ◽  
Fernando Díaz
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
Virtual Screening ◽  
Great Increase ◽  
New Drugs ◽  
Learning Approach ◽  
Screening Strategies ◽  
Computer Aided ◽  
Recent Developments

Background: Automated compound testing is currently the de facto standard method for drug screening, but it has not brought the great increase in the number of new drugs that was expected. Computer- aided compounds search, known as Virtual Screening, has shown the benefits to this field as a complement or even alternative to the robotic drug discovery. There are different methods and approaches to address this problem and most of them are often included in one of the main screening strategies. Machine learning, however, has established itself as a virtual screening methodology in its own right and it may grow in popularity with the new trends on artificial intelligence. Objective: This paper will attempt to provide a comprehensive and structured review that collects the most important proposals made so far in this area of research. Particular attention is given to some recent developments carried out in the machine learning field: the deep learning approach, which is pointed out as a future key player in the virtual screening landscape.

scholarly journals Artificial intelligence and colonoscopy: Current status and future perspectives

2019 ◽  
Vol 31 (4) ◽  
pp. 363-371 ◽  
Author(s):  
Shin‐ei Kudo ◽  
Yuichi Mori ◽  
Masashi Misawa ◽  
Kenichi Takeda ◽  
Toyoki Kudo ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Current Status ◽  
Future Perspectives

Welcome to the marriage of human capability and artificial intelligence

2019 ◽  
Vol 19 (1) ◽  
pp. 10-14
Author(s):  
Ryan Scott ◽  
Malcolm Le Lievre
Keyword(s):  
Artificial Intelligence ◽  
Team Building ◽  
Workplace Change ◽  
Content Type ◽  
The Future ◽  
Human Capability ◽  
Mind Set ◽  
Future Work ◽  
Crucial Part ◽  
Practical Implications

Purpose The purpose of this paper is to explore insights methodology and technology by using behavioral to create a mind-set change in the way people work, especially in the age of artificial intelligence (AI). Design/methodology/approach The approach is to examine how AI is driving workplace change, introduce the idea that most organizations have untapped analytics, add the idea of what we know future work will look like and look at how greater, data-driven human behavioral insights will help prepare future human-to-human work and inform people’s work with and alongside AI. Findings Human (behavioral) intelligence will be an increasingly crucial part of behaviorally smart organizations, from hiring to placement to adaptation to team building, compliance and more. These human capability insights will, among other things, better prepare people and organizations for changing work roles, including working with and alongside AI and similar tech innovation. Research limitations/implications No doubt researchers across the private, public and nonprofit sectors will want to further study the nexus of human capability, behavioral insights technology and AI, but it is clear that such work is already underway and can prove even more valuable if adopted on a broader, deeper level. Practical implications Much “people data” inside organizations is currently not being harvested. Validated, scalable processes exist to mine that data and leverage it to help organizations of all types and sizes be ready for the future, particularly in regard to the marriage of human capability and AI. Social implications In terms of human capability and AI, individuals, teams, organizations, customers and other stakeholders will all benefit. The investment of time and other resources is minimal, but must include C-suite buy in. Originality/value Much exists on the softer aspects of the marriage of human capability and AI and other workplace advancements. What has been lacking – until now – is a 1) practical, 2) validated and 3) scalable behavioral insights tech form that quantifiably informs how people and AI will work in the future, especially side by side.

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