scholarly journals Ontologies: a revamped cross-disciplinary buzzword or a truly promising interdisciplinary research topic?

2021 ◽  
Vol 3 ◽  
Author(s):  
Peter Spyns ◽  
Jan De Bo
Keyword(s):  
Artificial Intelligence ◽  
Computational Linguistics ◽  
Interdisciplinary Research ◽  
State Of The Art ◽  
Research Topic ◽  
Ontology Engineering ◽  
Point Of Interest ◽  
Introductory Overview ◽  
Research Domains ◽  
Database Semantics

The following article provides an introductory overview of the different research domains (computational linguistics, termino graphy, artificial intelligence (AI), philosophy and database semantics) for which ontologies and the emerging field of the Semantic Web have become a main point of interest. It will be pointed out that each of these domains uses a different definition for an ontology. A specific ontology engineering methodology (VUB STAR Lab DOGMA) will be presented and emphasis will be put on the specific role and contribution of (multilingual) terminography in this ontology. In addition, we will explain what ontologies might offer to advance the state of the art of linguistics and terminography.

scholarly journals Az e-sport és a robotpszichológia közös jövője

2017 ◽  
Vol 16 (4) ◽  
pp. 26
Author(s):  
Norbert Bátfai ◽  
Márió Bersenszki ◽  
Miklós Lukács ◽  
Renátó Besenczi ◽  
Gergő Bogacsovics ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Interdisciplinary Research ◽  
State Of The Art ◽  
The State ◽  
Research Perspective ◽  
Short Survey ◽  
The Future ◽  
The Common ◽  
Common Future

Jelen közlemény célkitűzése egyrészt az e-sport adott vertikális területei státuszának rövid áttekintése az interdiszciplináris, tudományos kutatás szempontjából, másrészt az e-sport és a mesterséges intelligencia kutatások kapcsolatának vizsgálata, különös tekintettel a lehetséges kutatási kitörési pontok feltárására. Az eredmények a fejlesztendő Entrópia Samu című új e-sport projekt zászlaja alatt kerülnek bemutatásra. A közlemény külön kitér az egyetemi közegben alapítandó e-sport csapatokkal kapcsolatban felmerülő kérdésekre. A munka végső tézise, hogy a jövő programozása nem egyéni fejlesztőkön, hanem tömegek e-sportolásán alapszik majd. --- The Common Future of E-sport and Robopsychology The objective of this paper is twofold. Firstly, a short survey is provided on the state of the art of some specialized areas of e-sport from an interdisciplinary research perspective. Secondly, the link between e-sport and artificial intelligence is investigated in order to identify possible breakout points. The results are presented within the framework of the new e-sport project to be created under the name Samu Entropy. The overall thesis of this paper is that the programming of the future will be based on the mass sport of gamer fans rather than individual developers.

Commentary on Flexible Fixturing

1986 ◽  
Vol 39 (9) ◽  
pp. 1365-1369 ◽  
Author(s):  
B. S. Thompson ◽  
M. V. Gandhi
Keyword(s):  
Artificial Intelligence ◽  
Interdisciplinary Research ◽  
Manufacturing Systems ◽  
State Of The Art ◽  
Computer Integrated Manufacturing ◽  
Engineering Science ◽  
Research Activities ◽  
Research Philosophy ◽  
Factory Of The Future ◽  
Integrated Manufacturing Systems

One of the significant impediments to the evolution of truly flexible computer-integrated manufacturing systems is the absence of truly adaptable flexible fixturing systems. This article reports on research activities dedicated to synthesizing and developing viable universal flexible fixturing systems, methodologies, and technologies for fixturing parts of various shapes and sizes. Phase-change fixturing, modular fixture kits, and other innovative concepts are discussed. In addition, the article not only contains a state-of-the-art review of this rapidly evolving area of engineering science, but it also highlights the necessity for interdisciplinary research in order to address the frontier problems in this area. These disciplines range from the mechanics of both solids and fluids through dynamics and vibrations to artificial intelligence. This research philosophy is essential for developing viable solutions which can be successfully implemented in the factory-of-the-future.

scholarly journals Five-Card AND Computations in Committed Format Using Only Uniform Cyclic Shuffles

2021 ◽  
Author(s):  
Yuta Abe ◽  
Yu-ichi Hayashi ◽  
Takaaki Mizuki ◽  
Hideaki Sone
Keyword(s):  
State Of The Art ◽  
Research Topic ◽  
The State ◽  
Major Research ◽  
Open Questions

AbstractIn card-based cryptography, designing AND protocols in committed format is a major research topic. The state-of-the-art AND protocol proposed by Koch, Walzer, and Härtel in ASIACRYPT 2015 uses only four cards, which is the minimum permissible number. The minimality of their protocol relies on somewhat complicated shuffles having non-uniform probabilities of possible outcomes. Restricting the allowed shuffles to uniform closed ones entails that, to the best of our knowledge, six cards are sufficient: the six-card AND protocol proposed by Mizuki and Sone in 2009 utilizes the random bisection cut, which is a uniform and cyclic (and hence, closed) shuffle. Thus, a question has arisen: “Can we improve upon this six-card protocol using only uniform closed shuffles?” In other words, the existence or otherwise of a five-card AND protocol in committed format using only uniform closed shuffles has been one of the most important open questions in this field. In this paper, we answer the question affirmatively by designing five-card committed-format AND protocols using only uniform cyclic shuffles. The shuffles that our protocols use are the random cut and random bisection cut, both of which are uniform cyclic shuffles and can be easily implemented by humans.

scholarly journals A Survey on Bias and Fairness in Machine Learning

2021 ◽  
Vol 54 (6) ◽  
pp. 1-35
Author(s):  
Ninareh Mehrabi ◽  
Fred Morstatter ◽  
Nripsuta Saxena ◽  
Kristina Lerman ◽  
Aram Galstyan
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
Real World ◽  
State Of The Art ◽  
Future Directions ◽  
Discriminatory Behavior ◽  
Real World Applications ◽  
Near Future ◽  
Different Sources

With the widespread use of artificial intelligence (AI) systems and applications in our everyday lives, accounting for fairness has gained significant importance in designing and engineering of such systems. AI systems can be used in many sensitive environments to make important and life-changing decisions; thus, it is crucial to ensure that these decisions do not reflect discriminatory behavior toward certain groups or populations. More recently some work has been developed in traditional machine learning and deep learning that address such challenges in different subdomains. With the commercialization of these systems, researchers are becoming more aware of the biases that these applications can contain and are attempting to address them. In this survey, we investigated different real-world applications that have shown biases in various ways, and we listed different sources of biases that can affect AI applications. We then created a taxonomy for fairness definitions that machine learning researchers have defined to avoid the existing bias in AI systems. In addition to that, we examined different domains and subdomains in AI showing what researchers have observed with regard to unfair outcomes in the state-of-the-art methods and ways they have tried to address them. There are still many future directions and solutions that can be taken to mitigate the problem of bias in AI systems. We are hoping that this survey will motivate researchers to tackle these issues in the near future by observing existing work in their respective fields.

scholarly journals Artificial intelligence and machine learning in design of mechanical materials

2021 ◽  
Author(s):  
Kai Guo ◽  
Zhenze Yang ◽  
Chi-Hua Yu ◽  
Markus J. Buehler
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
State Of The Art ◽  
The State

This review revisits the state of the art of research efforts on the design of mechanical materials using machine learning.

scholarly journals A Survey of Robots in Healthcare

Technologies ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 8 ◽  
Author(s):  
Maria Kyrarini ◽  
Fotios Lygerakis ◽  
Akilesh Rajavenkatanarayanan ◽  
Christos Sevastopoulos ◽  
Harish Ram Nambiappan ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
State Of The Art ◽  
The Elderly ◽  
Robotic Systems ◽  
Care Hospital ◽  
Robotic Technology ◽  
Persons With Disabilities ◽  
Survey Paper ◽  
Recent Advances ◽  
Art Research

In recent years, with the current advancements in Robotics and Artificial Intelligence (AI), robots have the potential to support the field of healthcare. Robotic systems are often introduced in the care of the elderly, children, and persons with disabilities, in hospitals, in rehabilitation and walking assistance, and other healthcare situations. In this survey paper, the recent advances in robotic technology applied in the healthcare domain are discussed. The paper provides detailed information about state-of-the-art research in care, hospital, assistive, rehabilitation, and walking assisting robots. The paper also discusses the open challenges healthcare robots face to be integrated into our society.

scholarly journals What you always wanted to know about the deterministic part of the International Planning Competition (IPC) 2014 (but were too afraid to ask)

2018 ◽  
Vol 33 ◽  
Author(s):  
Mauro Vallati ◽  
Lukáš Chrpa ◽  
Thomas L. Mccluskey
Keyword(s):  
Artificial Intelligence ◽  
State Of The Art ◽  
The State ◽  
Strong Impact ◽  
Significant Progress ◽  
Planning Techniques ◽  
Artificial Intelligence Planning ◽  
The Future ◽  
International Planning ◽  
Planning Approaches

AbstractThe International Planning Competition (IPC) is a prominent event of the artificial intelligence planning community that has been organized since 1998; it aims at fostering the development and comparison of planning approaches, assessing the state-of-the-art in planning and identifying new challenging benchmarks. IPC has a strong impact also outside the planning community, by providing a large number of ready-to-use planning engines and testing pioneering applications of planning techniques.This paper focusses on the deterministic part of IPC 2014, and describes format, participants, benchmarks as well as a thorough analysis of the results. Generally, results of the competition indicates some significant progress, but they also highlight issues and challenges that the planning community will have to face in the future.

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