scholarly journals Multi-dimensional database technology based on artificial intelligence

2021 ◽  
Vol 336 ◽  
pp. 05001
Author(s):  
Yurong Liu ◽  
Yang Bai ◽  
Xiongjun Li ◽  
Hao Chen
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
Research Direction ◽  
Research Field ◽  
Computer Application ◽  
Combination Strategy ◽  
Research Results ◽  
Multidimensional Database ◽  
Database Technology

Artificial intelligence and database technology are both important fields of computer science. The research results show that more and more industries have a growing demand for artificial intelligence and database. The combination of these two technologies will certainly bring a broader prospect to computer application. This paper mainly discusses the necessity, importance and development of multi-dimensional database technology based on artificial intelligence, introduces the combination strategy of artificial intelligence and multidimensional database and the current research field, and gives the research direction.

scholarly journals Measurement of Ethical Issues in Software Products

2020 ◽  
Author(s):  
Francesco Di Tria
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Computer Science ◽  
Ethical Issues ◽  
Research Field ◽  
Machine Learning Algorithms ◽  
Software Products ◽  
Ethics Research ◽  
Software Product ◽  
Formal Requirements

Ethics is a research field that is obtaining more and more attention in Computer Science due to the proliferation of artificial intelligence software, machine learning algorithms, robot agents (like chatbot), and so on. Indeed, ethics research has produced till now a set of guidelines, such as ethical codes, to be followed by people involved in Computer Science. However, a little effort has been spent for producing formal requirements to be included in the design process of software able to act ethically with users. In the paper, we investigate those issues that make a software product ethical and propose a set of metrics devoted to quantitatively evaluate if a software product can be considered ethical or not.

An Epistemological Analysis of QSPR/QSAR Models

2011 ◽  
pp. 318-332
Author(s):  
Jordi Vallverdú
Keyword(s):  
Drug Design ◽  
Computer Science ◽  
In Silico ◽  
Research Field ◽  
Research Results ◽  
Qsar Models ◽  
Epistemological Analysis ◽  
Scientific Value ◽  
The Way

Computer sciences have deeply changed the way by which we make science or produce knowledge. With the era of computers and the development of computer science, quantum chemists were among the first scientists to explore the potentialities of the new tool, and even to collaborate in its development. In this way, they also became participants in what many dubbed as the Second Instrumental Revolution in chemistry. Deeply involved into this research field, QSAR methods are powerful tools to create knowledge on toxicology and drug design, among others. There are several epistemological questions to be analyzed in order to understand the truth and scientific value of their research results (from in silico to wet laboratories and vice versa).

An Epistemological Analysis of QSPR/QSAR Models

2014 ◽  
pp. 1326-1341
Author(s):  
Jordi Vallverdú
Keyword(s):  
Drug Design ◽  
Computer Science ◽  
In Silico ◽  
Research Field ◽  
Research Results ◽  
Qsar Models ◽  
Epistemological Analysis ◽  
Scientific Value ◽  
The Way

Computer sciences have deeply changed the way by which we make science or produce knowledge. With the era of computers and the development of computer science, quantum chemists were among the first scientists to explore the potentialities of the new tool, and even to collaborate in its development. In this way, they also became participants in what many dubbed as the Second Instrumental Revolution in chemistry. Deeply involved into this research field, QSAR methods are powerful tools to create knowledge on toxicology and drug design, among others. There are several epistemological questions to be analyzed in order to understand the truth and scientific value of their research results (from in silico to wet laboratories and vice versa).

From Decline of the West to Dawn of Day

Janus Head ◽  
2020 ◽  
Vol 18 (1) ◽  
pp. 53-66
Author(s):  
Hub Zwart ◽  
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
Science And Religion ◽  
Natural Sciences ◽  
The Novel ◽  
Human Beings ◽  
Cultural Significance ◽  
Religion And Science ◽  
The West ◽  
Smart Technologies

This paper subjects Dan Brown’s most recent novel Origin to a philosophical reading. Origin is regarded as a literary window into contemporary technoscience, inviting us to explore its transformative momentum and disruptive impact, focusing on the cultural significance of artificial intelligence and computer science: on the way in which established world-views are challenged by the incessant wave of scientific discoveries made possible by super-computation. While initially focusing on the tension between science and religion, the novel’s attention gradually shifts to the increased dependence of human beings on smart technologies and artificial (or even “synthetic”) intelligence. Origin’s message, I will argue, reverberates with Oswald Spengler’s The Decline of the West, which aims to outline a morphology of world civilizations. Although the novel starts with a series of oppositions, most notably between religion and science, the eventual tendency is towards convergence, synthesis and sublation, exemplified by Sagrada Família as a monumental symptom of this transition. Three instances of convergence will be highlighted, namely the convergence between science and religion, between humanity and technology and between the natural sciences and the humanities.

The Ship Domain – A Criterion of Navigational Safety Assessment in an Open Sea Area

2008 ◽  
Vol 62 (1) ◽  
pp. 93-108 ◽  
Author(s):  
Zbigniew Pietrzykowski ◽  
Janusz Uriasz
Keyword(s):  
Artificial Intelligence ◽  
Safety Assessment ◽  
Research Results ◽  
Safe Navigation ◽  
Number Of Factors ◽  
Open Sea ◽  
Sea Area ◽  
Point Of Departure ◽  
Shape And Size

One of the basic tasks in shipping is to ensure safe navigation of vessels. The concept of the ship domain is of major importance in the assessment of a navigational situation and the avoidance of ship collisions. It is difficult to determine a ship domain as its shape and size depend on a number of factors. One question to be answered before the determination of the ship domain is which method to use: statistical, analytic, or expert method using artificial intelligence tools; other questions are connected with domain interpretation. The authors have analyzed the ship domain as a criterion for the assessment of ship navigational safety in an encounter situation in the open sea. The research results are used to answer some of the questions.Part 2 includes definitions of the ship domain and ship fuzzy domain. Part 3, in turn, presents methods of their determination as well as relevant questions. The results of the authors' research, described in Part 4, make up a basis for the determination of the domain and ship fuzzy domain. These have been determined with the so-called dynamic domains as a point of departure. The criteria of ship domain and closest point of approach are compared and discussed. Encounters of various size ships are considered in Part 5. The research and its results are described. Both ship domains and ship fuzzy domains of encountering ships are analyzed. Then, conclusions have been formulated in relation to the effect of the sizes of encountering ships on the shapes and sizes of their domains. Final conclusions are given in Part 6.

scholarly journals Improving Teamwork Competencies in Human-Machine Teams: Perspectives From Team Science

2021 ◽  
Vol 12 ◽  
Author(s):  
Kimberly Stowers ◽  
Lisa L. Brady ◽  
Christopher MacLellan ◽  
Ryan Wohleber ◽  
Eduardo Salas
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
The State ◽  
Team Science ◽  
Extant Literature ◽  
State Of The Science

In response to calls for research to improve human-machine teaming (HMT), we present a “perspective” paper that explores techniques from computer science that can enhance machine agents for human-machine teams. As part of this paper, we (1) summarize the state of the science on critical team competencies identified for effective HMT, (2) discuss technological gaps preventing machines from fully realizing these competencies, and (3) identify ways that emerging artificial intelligence (AI) capabilities may address these gaps and enhance performance in HMT. We extend beyond extant literature by incorporating recent technologies and techniques and describing their potential for contributing to the advancement of HMT.

Sign in / Sign up

Export Citation Format

Share Document