A Retrospective on Twenty Years of the Design Theory and Methodology Conference

2008 ◽  
Author(s):  
Jacquelyn K. Stroble ◽  
Robert L. Nagel ◽  
Kerry R. Poppa ◽  
Matt R. Bohm ◽  
Robert B. Stone
Keyword(s):  
Artificial Intelligence ◽  
Design Automation ◽  
Design Education ◽  
Design Theory ◽  
Industrial Applications ◽  
Research Topics ◽  
The Past ◽  
Design Theory And Methodology ◽  
Education Decision ◽  
Areas Of Interest

Since its birth from the Design Automation Conference (DAC) and the Association for the Advancement of Artificial Intelligence (AAAI) twenty years ago, the Design Theory and Methodology (DTM) Conference has accepted 769 papers for presentation in a total of 179 tracks. Papers have covered advances in design theory and methods as well as design education, decision making, product development, collaborative endeavors, case studies, information processing, computational methods and industrial applications. Through the years tracks have evolved to better define existing research topics and branched to spawn new areas of interest. This paper presents a retrospective of the past twenty years of the DTM conference including a look at the evolution of tracks, those researchers who have contributed and predictions for the upcoming twenty years.

Research in Design Theory and Methodology in West Germany

1990 ◽  
Author(s):  
M. S. Hundal
Keyword(s):  
Design Theory ◽  
Basic Research ◽  
West Germany ◽  
Federal Republic Of Germany ◽  
Thought Processes ◽  
Design Development ◽  
Cad Systems ◽  
The Past ◽  
Embodiment Design ◽  
Design Theory And Methodology

Abstract Current research in design methods in the Federal Republic of Germany is reviewed. VDI guideline 2221 is discussed. The paper looks at basic research in design theory and methodology, application of the methodology to computer-aided conceptual and embodiment design, development of intelligent CAD systems, use of expert systems in CAD, and understanding thought processes in designing. References to the publications of the past three years are given.

Enhancing Design Research in the Context of Design Education

2007 ◽  
Vol 129 (7) ◽  
pp. 717-729 ◽  
Author(s):  
Vassilis Agouridas
Keyword(s):  
Doctoral Students ◽  
Design Education ◽  
Design Theory ◽  
Design Research ◽  
Case Study Research ◽  
Design Practice ◽  
Research Methodologies ◽  
Research Education ◽  
Course Of Action ◽  
Design Theory And Methodology

Research into design theory and methodology is central to postgraduate design education. It has been widely acknowledged in the literature that a key activity in ensuring the quality of research in the area of design theory and methodology is to put particular emphasis on addressing both technical and social aspects that underpin the socio-technical nature of design research. In addition, this is requisite in linking design theory to design practice. However, explicit research methodologies that take into consideration both of these aspects, as well as explicitly address the issue of linking design theory to design practice, are scarce. The overall aim of this paper is to increase the awareness of stakeholders involved in design research education (e.g., master and doctoral students, faculty, and education planners), of the need to safeguard and assure the credibility and validity of design research outputs. The paper reviews issues and challenges associated with the use of research methodologies in the context of design theory and methodology research. It reports findings from the development, application, and evaluation of a research methodology based on hypothesis testing, action research, and case study research methodologies. Application and evaluation of the methodology showed that the introduced concepts of basis-of-action and course-of-action proved key elements in establishing intellectual frameworks for design research. Conclusions are drawn on the effectiveness of the methodology to address issues and challenges associated with the nature of design research, and on pedagogical benefits that can be gained from its application in postgraduate design research education.

Cyberphysical Design Automation Framework for Knowledge-based Engineering

2013 ◽  
Vol 1 (1) ◽  
pp. 158-178
Author(s):  
Urcun John Tanik
Keyword(s):  
System Design ◽  
Design Process ◽  
Design Automation ◽  
Design Theory ◽  
Knowledge Bases ◽  
Knowledge Based ◽  
Knowledge Based Engineering ◽  
Cyberphysical System ◽  
Automation Framework

Cyberphysical system design automation utilizing knowledge based engineering techniques with globally networked knowledge bases can tremendously improve the design process for emerging systems. Our goal is to develop a comprehensive architectural framework to improve the design process for cyberphysical systems (CPS) and implement a case study with Axiomatic Design Solutions Inc. to develop next generation toolsets utilizing knowledge-based engineering (KBE) systems adapted to multiple domains in the field of CPS design automation. The Cyberphysical System Design Automation Framework (CPSDAF) will be based on advances in CPS design theory based on current research and knowledge collected from global sources automatically via Semantic Web Services. A case study utilizing STEM students is discussed.

The Future of Work and the Changing Workplace

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Artificial Intelligence ◽  
Machine Intelligence ◽  
Political Issue ◽  
Digital Innovation ◽  
Future Of Work ◽  
The Past ◽  
The World ◽  
Public Debates ◽  
The Future ◽  
Market Opportunities

The world of work has been impacted by technology. Work is different than it was in the past due to digital innovation. Labor market opportunities are becoming polarized between high-end and low-end skilled jobs. Migration and its effects on employment have become a sensitive political issue. From Buffalo to Beijing public debates are raging about the future of work. Developments like artificial intelligence and machine intelligence are contributing to productivity, efficiency, safety, and convenience but are also having an impact on jobs, skills, wages, and the nature of work. The “undiscovered country” of the workplace today is the combination of the changing landscape of work itself and the availability of ill-fitting tools, platforms, and knowledge to train for the requirements, skills, and structure of this new age.

Artificial Intelligence and Human Rights: Four Realms of Discussion: Summary of Remarks

2020 ◽  
Vol 114 ◽  
pp. 242-245
Author(s):  
Jootaek Lee
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Decision Making ◽  
Deep Learning ◽  
Language Processing ◽  
Human Reasoning ◽  
The Past ◽  
Making Choices ◽  
Data Capturing ◽  
Intensive Procedures

The term, Artificial Intelligence (AI), has changed since it was first coined by John MacCarthy in 1956. AI, believed to have been created with Kurt Gödel's unprovable computational statements in 1931, is now called deep learning or machine learning. AI is defined as a computer machine with the ability to make predictions about the future and solve complex tasks, using algorithms. The AI algorithms are enhanced and become effective with big data capturing the present and the past while still necessarily reflecting human biases into models and equations. AI is also capable of making choices like humans, mirroring human reasoning. AI can help robots to efficiently repeat the same labor intensive procedures in factories and can analyze historic and present data efficiently through deep learning, natural language processing, and anomaly detection. Thus, AI covers a spectrum of augmented intelligence relating to prediction, autonomous intelligence relating to decision making, automated intelligence for labor robots, and assisted intelligence for data analysis.

scholarly journals Potential application of gold nanoparticles in food packaging: a mini review

Gold Bulletin ◽  
2021 ◽  
Author(s):  
Saeed Paidari ◽  
Salam Adnan Ibrahim
Keyword(s):  
Gold Nanoparticles ◽  
Potential Application ◽  
Food Industry ◽  
Food Packaging ◽  
Industrial Applications ◽  
Mechanisms Of Action ◽  
Microbial Load ◽  
Food Sector ◽  
The Past ◽  
Industry Applications

AbstractIn the past few decades, there have been remarkable advances in our knowledge of gold nanoparticles (AuNPs) and synthesizing methods. AuNPs have become increasingly important in biomedical and industrial applications. As a newly implemented method, AuNPs are being used in nanopackaging industries for their therapeutic and antibacterial characteristics as well as their inert and nontoxic nature. As with other NPs, AuNPs have privileges and disadvantages when utilized in the food sector, yet a significant body of research has shown that, due to the specific nontoxic characteristics, AuNPs could be used to address other NP flaws. In this mini review, we present synthesizing methods, food industry applications, and mechanisms of action of gold nanoparticles. Regarding the investigations, gold nanoparticles can play a major role to reduce microbial load in foodstuff and therefore can be implemented in food packaging as an effective approach.

scholarly journals Boundaries Between Research Ethics and Ethical Research Use in Artificial Intelligence Health Research

2021 ◽  
pp. 155626462110027
Author(s):  
Gabrielle Samuel ◽  
Jenn Chubb ◽  
Gemma Derrick
Keyword(s):  
Artificial Intelligence ◽  
Health Research ◽  
Decision Makers ◽  
Societal Impact ◽  
The Past ◽  
Research And Innovation ◽  
The United Kingdom ◽  
Responsible Research ◽  
Past Half

The governance of ethically acceptable research in higher education institutions has been under scrutiny over the past half a century. Concomitantly, recently, decision makers have required researchers to acknowledge the societal impact of their research, as well as anticipate and respond to ethical dimensions of this societal impact through responsible research and innovation principles. Using artificial intelligence population health research in the United Kingdom and Canada as a case study, we combine a mapping study of journal publications with 18 interviews with researchers to explore how the ethical dimensions associated with this societal impact are incorporated into research agendas. Researchers separated the ethical responsibility of their research with its societal impact. We discuss the implications for both researchers and actors across the Ethics Ecosystem.

scholarly journals A Survey of Encoding Techniques for Signal Processing in Spiking Neural Networks

2021 ◽  
Author(s):  
Daniel Auge ◽  
Julian Hille ◽  
Etienne Mueller ◽  
Alois Knoll
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Industrial Applications ◽  
Spiking Neural Networks ◽  
Biologically Inspired ◽  
Power Efficient ◽  
Signal Encoding ◽  
Uniform Nomenclature ◽  
Theoretical Foundations ◽  
Do So

AbstractBiologically inspired spiking neural networks are increasingly popular in the field of artificial intelligence due to their ability to solve complex problems while being power efficient. They do so by leveraging the timing of discrete spikes as main information carrier. Though, industrial applications are still lacking, partially because the question of how to encode incoming data into discrete spike events cannot be uniformly answered. In this paper, we summarise the signal encoding schemes presented in the literature and propose a uniform nomenclature to prevent the vague usage of ambiguous definitions. Therefore we survey both, the theoretical foundations as well as applications of the encoding schemes. This work provides a foundation in spiking signal encoding and gives an overview over different application-oriented implementations which utilise the schemes.

The Future of the Planetary Trust in a Kaleidoscopic World

2021 ◽  
pp. 1-8
Author(s):  
Edith Brown Weiss
Keyword(s):  
Artificial Intelligence ◽  
Natural Resource ◽  
Human Activities ◽  
New Technologies ◽  
Future Generations ◽  
Nuclear War ◽  
Human Environment ◽  
The Past ◽  
Resource Degradation ◽  
Shared Goal

Today, it is evident that we are part of a planetary trust. Conserving our planet represents a public good, global as well as local. The threats to future generations resulting from human activities make applying the normative framework of a planetary trust even more urgent than in the past decades. Initially, the planetary trust focused primarily on threats to the natural system of our human environment such as pollution and natural resource degradation, and on threats to cultural heritage. Now, we face a higher threat of nuclear war, cyber wars, and threats from gene drivers that can cause inheritable changes to genes, potential threats from other new technologies such as artificial intelligence, and possible pandemics. In this context, it is proposed that in the kaleidoscopic world, we must engage all the actors to cooperate with the shared goal of caring for and maintaining planet Earth in trust for present and future generations.

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