233 results
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2. Mit Wortschatz und lexiko-grafischen Ressourcen handeln: kritische Überlegungen zur Anwendung lexikalischer, lexikografischer und digitaler Kompetenzen im virtuellen Raum beim akademischen Schreiben im DaF-Bereich.
- Author
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Meliss, Meike
- Abstract
Copyright of Lexikos is the property of Bureau of the Woordeboek van die Afrikaanse Taal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2023
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3. Künstliche Intelligenz und GMP-Validierung.
- Subjects
ARTIFICIAL intelligence ,MANUFACTURING processes ,PATIENT safety ,PRODUCT quality ,MEDICAL equipment ,ALGORITHMS - Abstract
Copyright of Pharma + Food is the property of Hüthig GmbH and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2024
4. Künstliche Intelligenz im DaF-Unterricht? Disruptive Technologien als Herausforderung und Chance.
- Author
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Hartmann, Daniela
- Subjects
ARTIFICIAL intelligence ,GERMAN as a foreign language ,DISRUPTIVE innovations ,FOREIGN language education ,GERMAN language education - Abstract
Copyright of Info DaF: Informationen Deutsch als Fremdsprache is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2021
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5. Anwendung von Künstlicher Intelligenz im Religionsunterricht: Möglichkeiten, Grenzen und Brennpunkte.
- Author
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Chrostowski, Mariusz
- Subjects
RELIGIOUS education ,ARTIFICIAL intelligence ,PREJUDICES ,REINFORCEMENT (Psychology) ,DATA protection ,LEARNING - Abstract
Copyright of Journal for Religion in Education / Religionspädagogische Beiträge is the property of Arbeitsgemeinschaft Katholische Religionspadagogik & Katechetik (AKRK) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2023
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6. Können wir künstliche Intelligenzen wie ChatGPT produktiv für die medizinbibliothekarische Arbeit nutzen?
- Author
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Schweizer, Stefanus, Vogel, Christian, and Weiner, Oliver
- Abstract
Copyright of GMS Medizin-Bibliothek-Information is the property of German Medical Science Publishing House gGmbH and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2023
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7. Exploring the Role of AI-Based Conversational Agents for Collaborative Learning of English as a Foreign Language
- Author
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Ebru Pınar Elmacı Er and Armin Weinberger
- Subjects
artificial intelligence ,conversational agents ,efl ,collaborative learning ,Language and Literature - Abstract
AI-based chat agents within educational settings present a promising pathway for bolstering collaborative learning (CL), especially in the sphere of English as a Foreign Language (EFL). This paper investigates the evolving role of chat agents based on Artificial Intelligence (AI) and Large Language Models (LLM), notably ChatGPT, in the landscape of CL specific to EFL. The primary aim is twofold: firstly, to discern the productive and unproductive applications of ChatGPT in a CL environment, and secondly, to investigate approaches for harnessing ChatGPT to amplify productive CL experiences in EFL contexts. We present a literature review addressing the main objective of this paper, i.e., the exploration of the productive and unproductive uses of ChatGPT for CL in the EFL context. The findings aim to provide insights into the capabilities and limitations of ChatGPT in fostering language skills, enhancing communication competence, and encouraging cooperative learning strategies among EFL learners. This present paper delineates approaches and possible pitfalls when employing AI chat agents in language learning, attempting to bridge the divide between AI technology and instructional design, aiming to facilitate a more informed and efficacious utilisation of AI within collaborative EFL learning environments.
- Published
- 2023
8. Transfer von Ergebnissen aus dem Gebiet der Künstlichen Intelligenz in Spielen in die Medizinische Informatik zur Anwendung in entscheidungsunterstützenden Systemen
- Author
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Apeldoorn, Daan
- Subjects
artificial intelligence ,machine learning ,decision support ,comprehensibility ,Computer applications to medicine. Medical informatics ,R858-859.7 ,Infectious and parasitic diseases ,RC109-216 - Abstract
This paper considers the transfer of approaches from the field of to the field of to be used in decision support systems. The most relevant of the developed approaches will be roughly introduced and it will be considered how these approaches can be applied in medical informatics in the context of decision support systems. Moreover, it will be considered which of the approaches are eligible in this context. Apart from placing the approaches in the context of decision support systems, the paper thereby also provides an example for the interplay of different fields of research.
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- 2024
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9. Harnessing the power of artificial intelligence and robotics impact on attaining competitive advantage for sustainable development in hospitals with conclusions for future research approaches
- Author
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Pavithra, Narasingappa and Afza, Noor
- Subjects
artificial intelligence ,robotics ,competitive advantage ,hospitals ,sustainable development ,Medicine ,Public aspects of medicine ,RA1-1270 ,Microbiology ,QR1-502 - Abstract
Artificial intelligence (AI) and robotics have emerged as game-changing technologies with the potential to revolutionize the healthcare industry. In the context of hospitals, their integration holds the promise of not only improving patient care but also driving competitive advantage and fostering sustainable development. This review paper aims to explore and evaluate the impact of AI and robotics applications on attaining competitive advantage and promoting sustainable developmenospitals, examines the current landscape of AI and robotics adoption in healthcare settings and delve into their specific applications within hospitals, including AI-assisted diagnosis, robotinitoring, and data analytics. A key finding is the insufficient use of KI to date in terms of promoting sustainable development in hospitals. Furthermore, attempts to analyze the potential benefits and challenges associated with these technologies in terms of enhancing patient outcomes, operational efficiency, cost savings, and differentiation from competitors. Drawing upon a comprehensive review of the existing literature and case studies, this paper provides valuable insights into the transformative potential of AI and robotics in hospitals.
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- 2024
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10. AUTOMATIC TRANSLATION OF ASSEMBLY SHELLCODES TO PRINTABLE BYTE CODES.
- Author
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GÉCZI, Zsolt and IVÁNYI, Péter
- Subjects
MACHINE translating ,APPLIED linguistics ,ARTIFICIAL intelligence ,COMPUTATIONAL linguistics ,INFORMATION technology - Abstract
The generation of printable shellcode is an important computer security research area. The original idea of the printable shellcode generation was to write a binary, executable code in a way that the generated byte code contains only bytes that are represented by the English letters, numbers and punctuation characters. In this way unfortunately only a limited number of CPU instructions can be used. In the originally published paper a small decoder is written with instructions represented by printable characters and the shellcode is decoded on the stack to be executed later. This paper, however describes a proof of concept project, which converts the source code of a full assembly program or shellcode to a new source code, whose compiled binary code contains only printable characters. The paper also presents new, printable character implementation of some CPU instructions. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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11. Künstliche Intelligenz und der Rechtsbegriff der Person Überlegungen zum Fall Argentinien.
- Author
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Lell, Helga Maria
- Subjects
ARTIFICIAL intelligence ,JUSTICE administration ,LEGAL services ,SOCIAL change - Abstract
Copyright of Annales de la Faculté de Droit d'Istanbul is the property of Annales de la Faculte de Droit d'Istanbul and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2022
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12. Künstliche Intelligenz - wohin geht die Reise?
- Author
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Wahlmüller-Schiller, Christine
- Abstract
Copyright of e & i Elektrotechnik und Informationstechnik is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2017
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13. Sicherheit vernetzter, hochautomatisierter Roboter.
- Author
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Krenn, Willibald
- Abstract
Copyright of e & i Elektrotechnik und Informationstechnik is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2019
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14. Künstliche Intelligenz und Sprachtechnologien im Bereich der Translation
- Author
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Abdullah Bin Saran
- Subjects
artificial intelligence ,translation ,language technologies ,learning ,Ability ,Translating and interpreting ,P306-310 - Abstract
Artificial Intelligence and Language Technologies in the Field of Translation The present paper deals with the opportunities which language technologies and artificial intelligence might offer for translation professionals. The paper also examines and elucidates that these technologies might contain possible problems, hurdles and obstacles. But the researcher reinforces that they also possess the necessary skills, competencies and prerequisites for the successful implementation and use of these technologies as illustrated in the Literature Review and Discussion parts of this research. It has also been shown that the successful implementation of such tools requires both institutional and technical prerequisites. A not inconsiderable problem, however, is the question of the what extent to which and whether the significance of the digital translator can also be adequately illustrated and clarified in the non-institutional private sector. Current developments in this respect unfortunately tend to point to the opposite, i.e. to the degradation of his role to a mere "helper" of the machine that (apparently) does most of the translation work. Translators, then, will ultimately only be able to truly benefit from language technology and artificial intelligence if their status is not further compromised as a result. It is not very helpful if productivity and speed can be increased, but in inverse proportion to this, the fees constantly decrease, because it is made to appear that the computer is now doing most of the work. The end result of this development would be the digital slave rather than the highly professional digital language mediator. The paper projects that language technologies and artificial intelligence potentially offer benefits in the sense that they promote a better understanding and functioning of the symbiosis between humans and machines through the automation and streamlining of certain language-related workflow processes, i.e., a set of tasks that can be performed primarily - or even entirely - through workflow automation and with the help of content management software. Through the various past research on the subject and through secondary data analysis it has been analysed and stated in the paper that the potential acceleration of work processes improves overall efficiency by requiring less time to complete the same tasks. Therefore, this study evidently establishes the argument that artificial intelligence allows human actors to focus on more meaningful tasks associated with quality control, while routine and especially technical tasks are delegated (for the most part) to the machine. This also leaves more time for creative aspects. Artificial intelligence and language technology are not only relevant for translating, but also for interpreting, even if progress in this area is still somewhat slower and a paradigm shift has yet to occur. In this regard, conference interpreting is of particular interest. Problematically, the relevant software has so far lacked the cognitive, cultural, intellectual, and emotional skills that inevitably underlie qualitatively responsive interpretation. But at least it is possible to improve the interpreter's preparation for a meeting or conference. The relevant tools have so far only a supporting role to play. Language technologies and artificial intelligence potentially offer benefits in the sense that they promote a better understanding and functioning of the symbiosis between humans and machines through the automation and streamlining of certain language-related workflow processes, i.e., a set of tasks that can be performed mainly - or even entirely through workflow automation and with the help of content management software. Further development of artificial intelligence, machine translation has recently made significant progress. Nevertheless, it is common practice to first subject the machine-translated text to review or proofreading by a human translator. Post-editing is the process of using a machine-translated text as a basis and having it improved by a human translator. This means that the human translator ultimately creates the final translation.
- Published
- 2022
15. Gesamtheft 32(2).
- Subjects
ARTIFICIAL intelligence ,GEOMETRIC connections ,SOCIAL learning ,BLENDED learning ,CONCEPT learning ,MATHEMATICS - Abstract
Copyright of Mitteilungen der DMV is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2024
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16. Von Mealy zum Ψ-Organ und damit zur KI
- Author
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Dietrich, Dietmar
- Published
- 2024
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17. Metaphors of emotions: towards a data-driven formalization
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Olha Vakhovska
- Subjects
artificial intelligence ,cognitive linguistics ,formal representation of metaphors ,human emotion ,intensional definition ,ontology ,schema ,Language. Linguistic theory. Comparative grammar ,P101-410 - Abstract
Formalization of natural language metaphors is a notorious problem in artificial intelligence and in other overlapping domains. It is semantic vagueness that makes metaphors resistant to formulaic or algorithmic descriptions. Great effort has been invested into modeling metaphors computationally but the issue remains methodologically uncertain and needs further research. This paper works on a practical solution to the problem how metaphorical meaning can be represented in a way suitable for computation. The research agenda of this paper is interdisciplinary; it brings together an algebraic heuristic-driven theory for metaphors developed in artificial intelligence and an applied theory of meaning that comes from cognitive linguistics. This agenda postpones theoretical speculation and argument and is solely solution-focused, which contributes to the value of this paper’s attempt to bridge the cognitive science disciplines whose compatibility, though declared, is seldom demonstrated in a piece of practical research. This paper works with metaphors of human emotions that are linguistically manifested in modern English discourse. Emotions by virtue of their ineffability as qualia are rich in metaphorical conceptualizations and serve the research agenda well. This paper in a meaningful way exposes and ranks designated properties of the FEAR, SADNESS, HAPPINESS, and RELAXATION/SERENITY concepts and arranges these properties into general-purpose ontologies that explicitly specify metaphorically preferred emotion conceptualizations and are good candidates for computation. In prospect, this paper will account for some theoretical aspects of the research and probe the algorithmic and repetitive nature of schemas that license metaphorical expressions in natural language.
- Published
- 2021
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18. Wenn der Chatbot weiß, wo es lang geht – Ethische Fragen und mögliche Kriterien zum Einsatz von KI-gestützten Beratungssettings
- Author
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Kieslinger, Kristina and Nierobisch, Kira
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- 2024
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19. Projektkurs für Mädels: Mit Mathe und KI reale Probleme lösen.
- Author
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Hofmann, Stephanie and Schönbrodt, Sarah
- Subjects
ARTIFICIAL intelligence ,YOUNG women ,RECOMMENDER systems ,DATA science ,PROBLEM solving - Abstract
Copyright of Mitteilungen der DMV is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2024
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20. Understanding Internet: How We Shape the New Media and How It Shapes Us?
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Amela Delić and Mirela Karahasanović
- Subjects
internet ,technology ,mind ,artificial intelligence ,man ,History of scholarship and learning. The humanities ,AZ20-999 - Abstract
In this paper, the authors seek to critically questioning the relationship between technology and the mind, machine and man, we also try to understand the medium of the Internet, its nature and the way inwhich its integration into everyday life is changing everyday life. The For 30 years, Internet has been a technology, but also a medium of mass communication in society, but the discussions about it are mostlyreduced to either laud of technology or skepticism, which, as Silva Vaidhyanathan (2018) says, are representing those named as „‘orthodox’ media ecologists“. Therefore, in this paper, we are trying to understand the relationship between technology (media) and the mind (man), starting from the observations made by Mumford, Nietzsche, McLuhan, Freud, to the contemporary thinking of McChesney, Carr, Keene, Vaidhyanathan, Searl. We are considering the ways in which the previousmedia, including speech, letter, photography, were changing society and human needs, but also new, changed patterns of behavior in everyday life, which were partly created due to our use of the dominant technology of contemporary age. We also study the source of man’s need for new technologies, inventions, machines, his desire for the control of nature and technique, which, seemingly, is easily transformed into the control of the man himself. In this paper we do not give the final answers to the growing problems and issues of today’s networked and technologized world, but we are dealing with reflections on the development of the Internet, communication technologies and artificial intelligence.
- Published
- 2020
21. AI-assisted language education: critical review
- Author
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Serhiy O. Semerikov, Andrii M. Striuk, and Hanna M. Shalatska
- Subjects
artificial intelligence ,language education ,foreign language ,foreign language education ,Education - Abstract
This paper reviews the current research on AI-assisted language education (AILE). AI has greatly influenced education, especially language learning. AILE, an interdisciplinary field combining AI technology and language education theory, aims to improve foreign language learners’ experiences through personalized, interactive, and collaborative learning. This review classifies AILE research into four key domains: language-specific applications, comprehensive teaching modes, new educational ecosystems, and identification technology integration. It analyzes the strengths, weaknesses, opportunities, and challenges of AILE. The paper emphasizes the importance of ethical considerations and data quality in AILE endeavors. While acknowledging the achievements and potential of AILE, the review suggests future directions, promotes interdisciplinary collaboration, and highlights the need for empirical studies for an effective and ethical integration of AI in language education.
- Published
- 2021
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22. Enhancing the Value of Patents as Corporate Assets in South Africa: How can Artificial Intelligence (AI) Assist?
- Author
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Lonias Ndlovu
- Subjects
patents ,Corporate Assets ,Artificial Intelligence ,Machine-learning ,deep learning ,4th Industrial Revolution ,Law in general. Comparative and uniform law. Jurisprudence ,K1-7720 - Abstract
Although the accounting definition of assets contemplates intangible, abstract assets such as those embodied in intellectual property (IP), South African company law largely views IP as a legal and not a business asset. This paper tentatively suggests an approach that uses artificial intelligence (AI) to mitigate weaknesses in the South African patent law relating to the absence of patent searches and examinations. It is hoped that using AI will enable the filing of quality patents that satisfy the prescribed patentability criteria. High-quality patents will allow companies to accumulate patents as corporate assets. The approach is based on the algorithmic use of AI technologies such as machine learning, natural language processing, deep learning alongside the Internet of Things, and IP analytics to strengthen South Africa’s IP system and create asset value for corporations. The paper recommends using the proposed AI technologies by companies and the Patents Office to enable the filing of high-quality patents, which will lead to the accumulation of corporate assets in the form of patents. The methodology is doctrinal, and the paper relies on recent literature on IP and AI, South African law, case law and examples drawn from studies conducted in other countries.
- Published
- 2021
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23. 'Common Denominator' in Solving Multi-Factory Problems by Intelligent Systems
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Artem S. Adzhemov and Alla B. Denisova
- Subjects
artificial intelligence ,sensory perception ,basic emotions ,Philosophy. Psychology. Religion - Abstract
The most important property, a distinctive feature of any intelligent system, is its decision-making ability. In this case, the more complex the problem to be solved, the more and more diverse the initial data, and the more critical it is that the decision to be made was comprehensively considered and evaluated. In many cases, simultaneously arriving various initial data, if considered separately, and decisions based on such consideration lead to completely different results, often contradicting each other. Therefore, in the process of development and implementation of artificial intelligence (AI), it is especially important to investigate the “mechanism” of decision-making in conditions of the inconsistency of incoming initial data and the need to establish some generalizing rule, according to which it is possible to find a harmonizing solution taking into account various influencing factors. It is evident that when establishing the rules of decision-making, it is necessary to strive for a “positive” result from the point of view of the problem being solved. This undoubtedly requires analyzing the consequences of the decision made in a set time scale, which can be provided by appropriate feedback that will allow us to make the necessary corrective actions. Artificial intelligence in modern forms of practical realization has, as a rule, a digital embodiment. It should be taken into account that the digital representation of data inevitably shows an inaccurate display of initial values when processes of a continuous nature are considered and analyzed. Since a digital model has certain limitations and characteristic properties when analyzing and processing initial data, it is logical to assume that for this reason, there can be some general approach, some general rule, according to which a decision is made in the conditions of diverse initial data and the need to take into account the relevant consequences after the decision is made. This paper attempts to find a decision-making mechanism, harmonizing it according to the incoming external and available internal input data.
- Published
- 2023
- Full Text
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24. Integrating Artificial Intelligence in Language Curricula: Empowering Students for Future Competencies
- Author
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Silvia Adamcová and Michaela Rusch
- Subjects
artificial intelligence ,future competencies ,chatgpt and large language models ,digital language learning ,Language and Literature - Abstract
In today's professional communication, a constant expansion of vocabulary is necessary to keep up with developments in technology and science. This paper looks at the current topic of artificial intelligence in relation to applications such as ChatGPT and chatbots. The investigation will also explore the potential of artificial intelligence in promoting and supporting linguistic skills. Additionally, the discussion will cover the implementation of these AI tools into foreign language curricula and classroom practices. Specific requirements for teachers and students are addressed under the aspect of future competencies, which represent a particular challenge given the high speed of diverse developments. This study contributes to the ongoing discussion regarding the role of artificial intelligence in higher education. Overall, this evaluation offers insights into a highly topical issue of AI application that will significantly influence linguistic and pedagogical practice in the future.
- Published
- 2023
25. Identity and Conversational Artificial Intelligence
- Author
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Mateja Centa Strahovnik
- Subjects
artificial intelligence ,chatbots ,large language models ,ethics ,identity ,Doctrinal Theology ,BT10-1480 - Abstract
This paper explores the evolving perception of artificial intelligence (AI) systems in our increasingly AI-driven world, focusing on conversational AI or chatbots. With the rise of human-like robotic AI systems, there is a growing need to understand the identity these machines assume as they take on roles previously reserved for humans, such as caring for the elderly and educating children. The central thesis posits that comprehending the identity of such AI systems necessitates considering the aspect of our own identity that we shape and project onto them in our interactions with these systems. In an era defined by AI, these inquiries into identity and AI-human interactions are of paramount importance and are also vital for the very development of AI.
- Published
- 2023
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26. From Fear to Theosis: Patristic Reflections on Artificial Intelligence
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Octavian-Mihai Machidon
- Subjects
artificial intelligence ,technological determinism ,theological anthropology ,patristics ,eschatology ,Doctrinal Theology ,BT10-1480 - Abstract
Artificial Intelligence (AI) has already become a ubiquitous and autonomous force transforming our society and how humans interact with the world around them and each other. The staggering development and widespread of AI technology in the last decade raise debates on its evolution potential and social anxiety concerns about its detrimental effects. Techno-optimists expect AI to evolve into a sentient and conscious entity, reaching and surpassing humanlevel and thus challenging our understanding of the world and the fundamental principles of our society. This paper provides theological reflections on AI evolution and its effects on society and Christian spiritual life. It discusses the risks of AI hindering man’s spiritual ascent towards God by autonomously shaping man and society in its image, as expressed by advocates of technological determinism. Finally, it proposes an authentic and liberating Christian viewpoint on AI and today’s disruptive technologies by employing a patristic perspective.
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- 2023
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27. Navigating the Challenges and Opportunities of Literary Translation in the Age of AI: Striking a Balance Between Human Expertise and Machine Power
- Author
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Milena Škobo and Vedran Petričević
- Subjects
literary translation ,machine translation ,challenges of literary translation ,artificial intelligence ,chat gpt-3 ,History of scholarship and learning. The humanities ,AZ20-999 - Abstract
This paper explores the evolving role of teachers and literary translators in the era of artificial intelligence and machine translation and addresses the challenges encountered in literary translation. It focuses on achieving a balance between human expertise and machine power to ensure faithful translations of literary works while preserving their inherent artistic value. The study analyses four translations of an excerpt from the short story “Lake Como” by Serbian writer Srđan Valjarević. These translations, from Serbian to English, were conducted in groups by third-year Anglistics students at the Faculty of Philology, Sinergija University in Bijeljina, whose native language is Serbian. The quality and accuracy of the translations were assessed, accompanied by detailed justifications of our preference judgments. A comparison was made between our assessments and those generated by Chat GPT-3, aiming to provide insights into the advancements made by AI in the realm of literary translation. This comprehensive evaluation of translations, encompassing both human translators and AI-powered language models (LLMs), offers a deeper understanding of the specific strengths and weaknesses exhibited by LLMs in the context of literary translation. Through this human evaluation process, we strive to shed light on the specific areas where LLM translators excel and identify the challenges they are still facing. The findings contribute to a deeper understanding of AI's impact on literary translation and pave the way for future research and advancements in this area.
- Published
- 2023
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28. Proposal for a Triple Bottom Line for Translation Automation and Sustainability
- Author
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Joss Moorkens, Sheila Castilho, Federico Gaspari, Antonio Toral, and Maja Popović
- Subjects
ethics ,triple bottom line ,sustainability ,artificial intelligence ,translation automation ,translation technology ,Translating and interpreting ,P306-310 - Abstract
This article is both an editorial introduction to the guest-edited special issue of JoSTrans on Translation Automation and Sustainability, and a position paper in which we propose a model for evaluating the sustainable use of automation technology in translation and beyond. As grounding notions, the article reviews definitions of automation and considers the urgency of sustainability. Thereafter we propose an adaptation of Elkington’s (1997) triple bottom line, giving equal weight to evaluation based on people, planet, and performance, describing each of these elements in turn. Finally, we introduce the articles from this special issue, in which authors describe various aspects of automation technology in translation with a focus on sustainability.
- Published
- 2024
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29. Inhalt.
- Subjects
- *
ARTIFICIAL intelligence , *MATHEMATICS teachers , *CHATGPT , *MATHEMATICS education , *NEGOTIATION , *ENCYCLOPEDIAS & dictionaries , *SUPPLY & demand of teachers - Abstract
The issue of the "Mitteilungen der DMV" (Announcements of the German Mathematical Society) from March 1, 2023, contains various articles on mathematical topics. One article by Jessica Wynne deals with the beauty of mathematical chalkboard images. The president of the DMV, Joachim Escher, gives a greeting. Other articles discuss topics such as the Tilings Encyclopedia, the development of ChatGPT in AI research, and mathematics in the digital society. There is also an article on the geometry of negotiation tables and a contribution on life and work in Germany from an external perspective. The position paper by DMV, GDM, and MNU on combating the shortage of mathematics teachers is also presented. The issue concludes with information about new members, appointments, promotions, and the imprint. [Extracted from the article]
- Published
- 2023
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30. Supervised und Unsupervised Learning in Machine Learning. Darstellung der zwei Algorithmen lineare Regression und Entscheidungsbaum
- Author
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Jose, Nidia Joby
- Subjects
Machine Learning ,Artificial Intelligence ,Künstliche Intelligenz ,Lineare Regression ,Decision Tree ,Unsupervised Learning ,Linear Regression ,Semi – Supervised Learning ,Supervised Learning ,Entscheidungsbaum ,Maschinelles Lernen - Abstract
Die künstliche Intelligenz, das maschinelle Lernen und deren Algorithmen und Anwendungen sind Begriffe, die in der heutigen Zeit immer relevanter werden. Das Maschinelle Lernen ist nun Teil des Alltags und wird seit vielen Jahren erfolgreich in der Wirtschaft, Forschung und Entwicklung angewandt. Durch das maschinelle Lernen können heute verschiedene Aufgaben erledigt werden. Dazu gehören Vorhersagen für die Zukunft, Berechnungen von Wahrscheinlichkeiten, Erkennen von Gruppen und Zusammenhängen, Reduktion von Dimensionen oder beispielsweise die Optimierung von Geschäftsprozessen. Das maschinelle Lernen ist dabei ein wichtiger Teilbereich der künstlichen Intelligenz und wird in dieser Bachelorarbeit untersucht. Nach einer kurzen Einführung in das maschinelle Lernen, wird kurz auf die Methoden Supervised und Unsupervised Learning eingegangen. Danach werden zwei von den vielen verschiedenen Algorithmen des Supervised Learnings, die lineare Regression und der Entscheidungsbaum, ausgewählt beschrieben und abschließend verglichen. Neben einer textlichen Beschreibung der beiden Algorithmen beinhaltet die vorliegende Arbeit auch ein Beispiel für den Entscheidungsbaum anhand von Marvel-Charakteren. Dadurch wird dieses Prinzip besonders vereinfacht dem Leser deutlich gemacht. Die Methodik, die für diese Arbeit angewandt wurde, ist eine Literaturrecherche. Dabei wurden verschiedene Medientypen zu Hilfe genommen. Neben Büchern und Papers wurden auch einige Journals und Webseiten als Quellen zur Unterstützung der Arbeit verwendet. Artificial intelligence, machine learning and their algorithms and applications are terms that are becoming increasingly relevant in today's world. Machine learning is now part of our daily lives and has been successfully applied in various businesses, research and developments for many years. Today Machine Learning is used for accomplishing various tasks. These include predictions for the future, calculations of probabilities, recognition of groups and correlations, reduction of dimensions or, for example, optimization of business processes. Machine learning is an important part of artificial intelligence and is investigated in this bachelor thesis. After a short introduction to machine learning, the methods Supervised and Unsupervised Learning are briefly discussed. Afterwards, two of the many different algorithms of supervised learning, linear regression and decision tree, are selected for a closer description and finally compared. In addition to a textual description of the two algorithms, this paper also includes an example of the decision tree using Marvel characters. This makes this principle particularly simplified to the reader. The methodology used for this thesis is a literature survey. Various types of media were used to assist this process. In addition to books and papers, some journals and websites were also used as sources to support this work.
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- 2023
31. Organisation und Ideologie des Transhumanismus: Historisch-soziologische Rekonstruktion einer Pioniergemeinschaft
- Author
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Dreher, Marc and Universität Stuttgart, Fak. 10 Wirtschafts- und Sozialwissenschaften, Institut für Sozialwissenschaften Abt. VI Organisations- und Innovationssoziologie
- Subjects
Digitalisierung ,man-machine system ,Transhumanismus ,Weltanschauung ,Organisationssoziologie, Militärsoziologie ,artificial intelligence ,digitalization ,Sociology & anthropology ,Netzwerk ,Organizational Sociology ,neue Technologie ,Soziologie, Anthropologie ,network ,new technology ,ddc:300 ,ddc:301 ,Sociology of Science, Sociology of Technology, Research on Science and Technology ,Wissenschaftssoziologie, Wissenschaftsforschung, Technikforschung, Techniksoziologie ,Mensch-Maschine-System ,soziotechnisches System ,sociotechnical system ,künstliche Intelligenz - Abstract
In den Debatten um Digitalisierung, Künstliche Intelligenz und das Verhältnis zwischen Mensch und Maschine nehmen Vertreter:innen des Transhumanismus immer wieder radikale Positionierungen ein und sind somit wichtige und nicht selten provokante Akteure innerhalb des technikfuturistischen Diskurses. Während es in der For- schung zahlreiche ideologietheoretische Analysen zu den transhumanistischen Welt- anschauungen gibt, wissen wir bislang nur wenig über den organisierten Transhumanismus, also über die Vernetzung von ökonomischen Akteuren wie Tech-Firmen und Investor:innen, zivilgesellschaftlichen Organisationen wie Think-Tanks, Parteien und Vereinigungen sowie akademischen Akteuren wie Forschungsinstituten oder (Fach-)zeitschriften. Angesichts des immer stärker auftretenden Diskurses über soge- nannte "emerging technologies" verlangt es nach einer theoretischen und empirischen Analyse, um den Phänomenbereich ganzheitlich zu erschließen. Aufbauend auf Andreas Hepps Konzept der Pioniergemeinschaft, widmet sich diese Arbeit einer historisch-soziologischen Rekonstruktion der organisationalen Genese des Transhumanismus und zeichnet die Entwicklung einer Pioniergemeinschaft nach. In the debates about digitalization, artificial intelligence and the relationship between man and machine, representatives of transhumanism repeatedly take radical positions and are thus important and often provocative actors within the techno-futurist discourse. While there are numerous ideological-theoretical analyses of transhumanist world-views in research, we know little about organized transhumanism, i.e., about the networks of economic actors such as tech companies and investors, civil society organizations such as think tanks, political parties and associations, and academic actors such as research institutes or journal editors. In view of the increasing discourse on so-called "emerging technologies," a theoretical and empirical analysis is needed in order to holistically explore this phenomenon. Building on the concept of the pioneer community as developed by Andreas Hepp, this paper is dedicated to a historical-sociological reconstruction of the organizational genesis of transhumanism and traces the development of a pioneer community.
- Published
- 2023
32. 50 Jahre Kybernetik in Österreich
- Author
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Zemanek, H.
- Published
- 2004
- Full Text
- View/download PDF
33. Rozwój sztucznej inteligencji i jej wpływ na rynek finansowy
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Arkadiusz Tomaszek
- Subjects
financial market ,artificial intelligence ,machine learning ,opportunities and threats ,digitization ,Public finance ,K4430-4675 ,Banking ,HG1501-3550 - Abstract
The purpose of this article. The aim of the article is to analyze selected issues related to artificial intelligence and its development, particularly its impact on the financial market, taking into account the opportunities and threats that artificial intelligence and its areas, such as machine learning or deep learning, pose to financial market participants. The research methods utilized in the study were used to evaluate the phenomenon on a macroeconomic scale. Methodology. The results of the research were based on the analysis of secondary data, such as source literature – both domestic and foreign, systems analysis of European Union legal acts, as well as the review of reports on the use of AI within the financial market. The paper is theoretical. The result of the research. The development of artificial intelligence in financial markets may provide an opportunity to gain competitive advantage, especially for financial market participants who aptly implement AI-based solutions in its initial phase. However, this entails both benefits and risks, the possible occurrence of which depends on many other factors.
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- 2022
- Full Text
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34. Artificial | Pragmatic Reasoning (APR) : A Computational Social Science Framework
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Naderer, Sebastian Tobias
- Subjects
big data ,Künstliche Intelligenz ,Computational social science ,artificial intelligence - Abstract
As an emergent young research field Computational Social Science (CSS) already adresses various contradictions. For this reason this research paper deals with different relations such as quantity vs. quality, machine vs. human, supervised vs. unsupervised learning environments as well as inductive vs. deductive reasoning. Therefore, CSS is not only linked to a great number of opportunities but also to various conflicts, which can only be resolved by strongly considering methodological aspects. Because of that this paper intends to be more than just a reflection of methods: an exploration of a methodology, which is capable of empowering users to detect and adopt various blending potentials. Such an approach not only calls for methodological reflections but also requires a process model which is capable of guiding users around different research tasks. To deal with these challenges this paper is referring to a prominent and already existing methodology: the grounded theory methodology. Although the methodological reflections are necessarily abstract in the first part of this paper, an empirically study based on the evolved process model and the google search behavior (german speaking countries) is capable to illustrate the data and methods potentials coming along with a CSS approach. The aim of this paper can be found in an empowerment of quantitativ as well as qualitative grounded social scientists regarding semi-automatic methods. For this reason this paper wants to be understood as a bridge builder around the various conflict potentials of the underlying research fields. Computational Social Science (CSS) weiß als junges Forschungsfeld bereits eine Vielzahl an (vermeintlichen) Dichotomien zu berühren. So steht diese Arbeit im Spannungsverhältnis zwischen Quantität und Qualität, Mensch und Maschine, überwachten- vs. unüberwachten Lernumgebungen sowie induktiven und deduktiven Schlussverfahren. Damit sind mit der CSS nicht nur eine Vielzahl von Potentialen verbunden, sondern auch ein reichhaltiges Konfliktpotential, das nur mittels des prominenten Einbezugs methodologischer Überlegungen aufzulösen ist. Diese Arbeit will und muss daher mehr sein als eine Methodenreflexion und sich in dieser Konsequenz der Erforschung eines methodologischen Bezugsrahmens verschreiben, das AnwenderInnen befähigt, die vielschichtigen CSS-Verknüpfungspotentiale erst einmal zu erkennen und in weiterer Folge sinnvoll aufeinander zu beziehen. Eine derartige Vorgehensweise zieht dabei nicht nur methodologische Überlegungen nach sich, sondern macht darüber hinaus die Ableitung eines möglichst breit rezipierbaren Prozessmodells notwendig, das die vielschichtigen Aufgaben möglichst reproduzierbar anzuleiten vermag. Für die Bewältigung dieser Herausforderungen nimmt diese Arbeit dabei wiederum selbst Anleihen an einer bereits existierenden und elaborierten Methodologie: der Grounded Theory. Ist die methodologische Problematisierung dieser Arbeit dabei zunächst einmal notwendigerweise abstrakt, so vermag das Prozessmodell, das anhand einer konkreten empirischen Problemstellung (deutschsprachiges Google-Suchverhalten) zusätzlich in den Blick genommen wird, den Einsatz des CSS-Daten- und Methodenrepertoires anschaulich zu illustrieren. Das Ziel dieser Dissertation besteht demnach in der Ermächtigung quantitativ oder qualitativ agierender SozialforscherInnen, was den Einsatz semi-automatisierter Verfahren anbelangt und will in dieser Konsequenz auch als ein Brückenbauer dieser nicht immer konfliktfreien Forschungszugänge verstanden werden. eingereicht von Sebastian Tobias Naderer Abweichender Titel laut Übersetzung der Verfasserin/des Verfassers Dissertation Universität Linz 2022 Arbeit auf den öffentlichen PCs in den Bibliotheken der JKU+Medizin abrufbar
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- 2022
35. "Please talk to me! Or not?" Eine Untersuchung der Zufriedenheit mit Chatbots in der öffentlichen Verwaltung.
- Author
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Menzi, Chantal, Fritzenwallner, Pascal, Vassella, Leandro, Guirguis, Katharina, and Pleger, Lyn E.
- Abstract
Copyright of Yearbook of Swiss Administrative Sciences is the property of Ubiquity Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2023
- Full Text
- View/download PDF
36. Personalized HIV Treatment: Bringing Marginalized Patients to the Forefront With Situational Analysis
- Author
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Renate Baumgartner
- Subjects
personalized medicine ,antiretroviral therapy ,health care ,artificial intelligence ,machine learning ,implicated actors ,Social sciences (General) ,H1-99 - Abstract
Since the early 2000s, personalized medicine (PM) has been a much-hyped field of healthcare. HIV treatment optimization tools were one of the first successful examples of PM, and have since their development been used to find tailored and optimized treatment for HIV-positive people. In this paper on a case study of the social arena of personalized HIV therapy I show how social worlds worked on both shared and distinct goals within the arena. I highlight the simultaneous centering and marginalization to which people seeking HIV therapy were subjected discursively in the social worlds. I also demonstrate that the further patients were from practitioners' daily work, the more they were reduced to their blood samples, rather than being constructed as complex and human.
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- 2023
- Full Text
- View/download PDF
37. A Taxonomy for Deep Learning in Natural Language Processing
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Thiemo Wambsganss, Severin Landolt, and Matthias Söllner
- Subjects
Information management ,Watson ,business.industry ,Process (engineering) ,Computer science ,Deep learning ,Sample (statistics) ,computer science ,information management ,computer.software_genre ,Systematic review ,Taxonomy (general) ,Artificial intelligence ,business ,computer ,Natural language processing - Abstract
Despite a large number of available techniques around Deep Learning in Natural Language Processing (NLP), no holistic framework exists which supports researchers and practitioners to organise knowledge when designing, comparing and evaluating NLP applications. This paper addresses this lack of a holistic framework by developing a taxonomy for Deep Learning in Natural Language Processing. Based on a systematic literature review as proposed by Webster and Watson [1] and vom Brocke et al. [2] and the iterative taxonomy development process of Nickerson et al. [3] we derived five novel dimensions and 38 characteristics based on a sample of 205 papers. Our research suggests, that a Deep Learning NLP approach can be distinguished by five dimensions which were partly derived from the CRISP-DM methodology: application understanding, data preparation, modeling, learning technique and evaluation. We, therefore, hope to provide guidance and support for researchers and practitioners when using Deep Learning for NLP to design, compare and evaluate NLP applications.
- Published
- 2021
38. Der Einsatz von Computer Aided Diagnosis zur Detektion von COVID-19
- Author
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Fidler, Georg
- Subjects
Artificial intelligence ,Computer Aided Diagnosis ,Künstliche Intelligenz ,RT-PCR ,COVID-19 ,Computertomographie ,Computed tomography - Abstract
Die COVID-19 Pandemie gilt als eine der gravierendsten Gesundheitskatastrophen der Neuzeit und ist seit dem zweiten Weltkrieg ein der größten Herausforderungen, der sich die Menschheit zu stellen hat. Eine frühe und schnelle Erkennung der Krankheit ist im Kampf gegen die Pandemie unumgänglich. Deep Learning (DL) - Techniken, wie faltungsneuronale Netzwerke (CNN, convolutional neural network), können bei der Klassifizierung von Nicht-COVID-19-Fällen und COVID-19-Fällen helfen. Ziel der Arbeit ist es die Zuverlässigkeit, insbesondere anhand der Spezifität und der Sensitivität von CAD-Systemen (computerunterstützte Diagnose von CT- Scans) zu untersuchen und zu vergleichen. Weiters werden Vor- und Nachteile von CAD-Diagnoseverfahren im Vergleich zum RT-PCR-Test in Bezug auf COVID-19 erläutert. In der Arbeit wird zunächst ein Überblick über COVID-19 und die damit einhergehenden Probleme erstellt. Des Weiteren werden verschiedene Verfahren, welche zur COVID-19 Diagnostizierung eingesetzt werden, erläutert. Danach wird übersichtlich auf die CAD-Methode, deren Funktionsweise und Einsatzmöglichkeiten speziell hinsichtlich der Diagnose von COVID-19 eingegangen. Im Studienvergleich, dem letzten Teil der Arbeit, werden die Forschungsergebnisse grafisch und tabellarisch gegenübergestellt, bewertet und diskutiert. Bei der Auswahl der Studien wird nach der CASP-Methode vorgegangen, wobei zuvor definierte Rahmenbedingungen berücksichtigt werden. Der Studienvergleich zeigt, dass CAD-Diagnoseverfahren sowohl gegenwärtig als auch zukünftig eine vielversprechende Methode zur unterstützenden Diagnostik im medizinischen Bereich sind. Bezugnehmend auf COVID-19 stellt sich der RT-PCR Test für die breite Masse aufgrund seiner Zuverlässigkeit, der einfachen Verfügbarkeit, der vertretbaren Dauer und der wirtschaftlichen Vorteile als das gängigste Diagnosewerkzeug heraus. CAD ist zwar aktuell nicht das bevorzugte Mittel zur Bekämpfung der Pandemie, wird jedoch durch die im Studienvergleich ersichtlichen Ergebnisse sowie die universelle Anwendbarkeit sowohl gegenwärtig als auch zukünftig an Bedeutung gewinnen. The COVID-19 pandemic is considered one of the most serious public health disasters of modern times and is one of the greatest challenges facing humanity since World War II. Early and rapid detection of the disease is inevitable in the fight against the pandemic. Deep Learning (DL) techniques, such as convolutional neural networks (CNN) can help in the classification of non-COVID-19 cases and COVID-19 cases. The aim of this thesis is to investigate and compare the reliability, especially the specificity and the sensitivity of CAD systems (computer aided diagnosis of CT scans). Furthermore, advantages and disadvantages of CAD diagnostic methods in comparison to the RT-PCR test regarding COVID-19 are explained. In this paper, first an overview of COVID-19 and the problems associated with it is provided. Furthermore, different methods which are used for COVID-19 diagnosis are explained. Afterwards, the CAD method, its functionality and possible applications are discussed, especially regarding the diagnosis of COVID-19. In the study comparison, the last part of the paper, the research results are compared, evaluated and discussed graphically and in tabular form. The selection of studies follows the CASP method, taking into account previously defined frameworks. The comparison of the theses shows that CAD is a promising method for supporting diagnostics in the medical field, both currently and in the future. With reference to COVID-19, the RT-PCR test emerges as the most common diagnostic tool for the general public due to its reliability, easy availability, reasonable duration, and economic advantages. CAD, while not emerging as a preferred tool for pandemic control, will gain importance both currently and in the future due to the results seen in the study comparison, as well as its universal applicability.
- Published
- 2021
39. Artificial Intelligence and Crime - The new weapon for law enforcement
- Author
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Krzyzak, Judyta
- Subjects
Artificial intelligence ,Gesichtserkennung ,Künstliche Intelligenz ,Strafverfolgung ,Machine learning ,Aufdeckung von Verbrechen Kriminalitätsvorhersage ,Crime analysis ,Kriminalitätsanalyse ,Law enforcement ,Crime prediction ,Facial recognition ,Crime detection ,Maschinelles Lernen - Abstract
Basierend auf theoretischen Untersuchungen und dem aktuellen Status der Kriminalstatistik soll in dieser Arbeit das Potenzial der künstlichen Intelligenz (KI) zur Beeinflussung von Strafverfolgungsstrategien erörtert werden. Intelligente Maschinen können auf vielfältige Weise zur Unterstützung von Detektiven und Polizisten eingesetzt werden, indem zeitaufwändige Aufgaben übernommen und Muster in den bereitgestellten Daten erkannt werden. Andererseits ist das Risiko hoch, dass ihre Verwendung zu einer Verletzung der grundlegenden Menschenrechte führen kann. Dieser Konflikt hat in den letzten zehn Jahren viel Aufmerksamkeit erhalten, seit die Präsenz von KI in der Strafverfolgung Realität wurde. Gleichzeitig haben Unternehmen auf der ganzen Welt an Lösungen gearbeitet, die es Polizeibeamten ermöglichen, effizienter, aber auch sicherer zu arbeiten, indem sie sie beispielsweise bei gefährlichen Aufgaben schützen. Obwohl sich viele Ideen noch in der Konzeptphase befinden, ist die Vielfalt der bereits verwendeten Tools groß. In dieser Arbeit wird ein Überblick über derzeit verwendete KI-Lösungen zur Verbrechensbekämpfung in Verbindung mit ihrem Potenzial gegeben, die Zukunft von Strafverfolgungsstrategien zu gestalten. Based on theoretical research and actual status of crime statistics, this paper aims to discuss the potential of artificial intelligence (AI) to influence law enforcement strategies. Intelligent machines can be used in a variety of ways to support detectives and police officers by taking over time consuming tasks and recognizing patterns in provided data. On the other hand, the risk is high that the use of them may lead to a violation of fundamental human rights. This conflict has received much attention in the past decade since the presence of AI in law enforcement became reality. At the same time companies all over the world have been working on solutions, allowing police officers to work more efficiently but also in a more secure way for instance by protecting them during dangerous duties. Although many ideas still are in the concept stage, the variety of tools already being in use is great. In this paper an overview of currently used AI solutions for fighting crime is given in conjunction with their potential to shape the future of law enforcement.
- Published
- 2021
40. Validation of commercially available systems for yield and quality forecasting in apple cultivation
- Author
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Elias M. Holzknecht, Christian Andergassen, Daniel Pichler, and Walter Guerra
- Subjects
fruit production ,yield prognosis ,yield estimation ,yield forecasting ,fruit sizing ,fruit storage ,sizing ,size class distribution ,image recognition ,artificial intelligence ,Agriculture - Abstract
Manual yield estimation usually requires a lot of work and is expensive. With the help of modern image recognition systems, it is already possible to create yield forecasts to determine area-related yield capacity and fruit size distribution. This makes it possible to apply cultivation measures in a more targeted way and to optimize storage and logistics. Therefore, in this paper, five different commercially available systems were tested for their precision and practicality with different varieties and at different locatins. For this purpose, the data obtained were compared with manually determined data and the deviation was calculated. It was found that there were large differences between the various systems, although some systems already showed sufficient accuracy. Most of the systems, however, had too much deviation and the time required to collect the data was often higher than that required for manual measurement.
- Published
- 2022
- Full Text
- View/download PDF
41. Künstliche Intelligenz in Deutschland: Erwerbstätige wissen oft nicht, dass sie mit KI-basierten Systemen arbeiten.
- Author
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Giering, Oliver, Fedorets, Alexandra, Adriaans, Jule, and Kirchner, Stefan
- Subjects
ARTIFICIAL intelligence ,LABOR market - Abstract
Copyright of Deutsches Institut für Wirtschaftsforschung: DIW-Wochenbericht is the property of DIW Berlin and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2021
- Full Text
- View/download PDF
42. Generování žánrově specifické hudební transkripce Antonína Dvořáka prostřednictvím variačního autoenkodéru
- Author
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Daniel Kvak
- Subjects
algorithmic composition ,artificial intelligence ,autoencoder ,deep learning ,generative art ,LSTM network ,Literature on music ,ML1-3930 ,Music ,M1-5000 - Abstract
Apart from traditional deep learning tasks such as pattern recognition, stock price prediction, and machine translation, this method also finds practical application within algorithmic composition. This paper explores the use of a generative model based on unsupervised learning of a musical style from a pre-selected corpus and the subsequent prediction of samples from the estimated distribution. The model uses a Long Short-Term Memory neural network whose training data contains genre-specific melodies in symbolic representation.
- Published
- 2021
- Full Text
- View/download PDF
43. Menschliche Intelligenz — die Sichtweise der Psychologie.
- Author
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Gittler, G. and Arendasy, M.
- Published
- 2005
- Full Text
- View/download PDF
44. AI APPLIED IN RAISING CATTLE PREDICTION
- Author
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DEMIAN Horia
- Subjects
Artificial Intelligence ,raising cattle ,Business ,HF5001-6182 ,Finance ,HG1-9999 - Abstract
This paper presents the results obtained from the testing of an algorithm based on artificial intelligence applied to data on cattle breeding, over a period of several years. Following the application of this algorithm can be made predictions regarding the weight gain of cattle according to their age, their type, the input weight and the number of days we propose to keep him fattening. Prediction can help us make decisions about future sales contracts, simply by the fact that we can know a weight that we can achieve for existing cattle after a certain number of days.
- Published
- 2020
45. Belief networks as comples systems
- Author
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Lumbreras, Sara and Oviedo, Lluis
- Subjects
artificial intelligence ,artificial neural networks (ann) ,belief ,belief adaptation ,belief networks ,complex systems ,decision making ,emergence ,pattern recognition ,reinforcement learning (rl) ,Practical Theology ,BV1-5099 ,Doctrinal Theology ,BT10-1480 - Abstract
There has been extensive work on understanding belief, from a psycho-logical, philosophical and neurobiological perspective. Meanwhile, arti-ficial intelligence has produced compelling developments that can enrich and update the brain-as-a-computer metaphor and has tried to better represent beliefs as cognitive probabilistic processes. In parallel, there has been a surge of research in Complexity Sciences, with applications rang-ing from Medicine to Finance. Some authors have already linked the con-nected nature of belief to the behaviour of complex networks. We would like to expand this approach to understand belief as a complex system with the main functions of providing a model of the world – including the individual and her surroundings – and producing guidelines for action. The complex-system perspective allows us to understand some of the properties of belief systems in a comprehensive manner, which many authors have begun to study in isolation. Notably, this provides a framework to study the impor-tant phenomena of belief formation and change as processes of emergence and adaptation. In this exploratory paper, we propose an outline for this framework for this study.
- Published
- 2020
- Full Text
- View/download PDF
46. Unkrauterkennung und Kartierung zur automatischen Applikationskartenerstellung im Pflanzenschutz.
- Author
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Kämpfer, Christoph, Ulber, Lena, Wellhausen, Christina, and Pflanz, Michael
- Subjects
DEEP learning ,CONVOLUTIONAL neural networks ,CROPS ,ARABLE land ,WEED control ,EFFECT of herbicides on plants ,HERBICIDE application - Abstract
Copyright of Journal of Cultivated Plants / Journal für Kulturpflanzen is the property of Verlag Eugen Ulmer and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2021
- Full Text
- View/download PDF
47. Diffraction model of a plenoptic camera for in-situ space exploration
- Author
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Maximilian Buder, Klaus H. Strobl, Ulrike Krutz, Martin Lingenauber, and Florian Fröhlich
- Subjects
010504 meteorology & atmospheric sciences ,Aperture ,Computer science ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,diffraction ,microlens array ,01 natural sciences ,law.invention ,010309 optics ,Depth map ,law ,plenoptic imaging ,0103 physical sciences ,Computer vision ,Depth of field ,Image sensor ,PSF ,0105 earth and related environmental sciences ,Microlens ,Echtzeit-Datenprozessierung ,business.industry ,Perzeption und Kognition ,Lens (optics) ,Stereo imaging ,Artificial intelligence ,business ,Light field - Abstract
This paper provides a detailed system theoretical model of a plenoptic camera with the aim to provide in-depth understanding of the plenoptic data recording concept and its effects. Plenoptic cameras, also known as light field cameras, were firstly thought of in the beginning of the 20th century and became recently possible thanks to rapid development of processing hardware and the increase of camera sensor resolution. Despite being a new type of sensor, they are operated in the same way as conventional cameras, but offer several advantages. A plenoptic camera consists of a main lens and a lenslet array (microlens array) right in front of the detector. The microlens array causes not only the recording of the incident location of a light ray on the sensor, as it is done by a conventional camera, but also the incident direction. Such a record can be represented by a 4-D data set known as the light field. In fact, by inserting a microlens array any conventional camera can be transformed into a plenoptic camera. The plenoptic recording concept and the 4-D light field provide multiple advantages over conventional cameras. For example, a single recorded light field allows first, to reconstruct novel views with small changes in viewpoint, second, to create a depth map, and third, to refocus images after the data capture. Hence, the process of focusing is shifted from hardware to software. Last, but not least, plenoptic cameras allow an extended depth of field in comparison to a conventional camera and the use of a bigger camera aperture. Most of the mentioned advantages become particularly effective at close-range to an object. The German Aerospace Center performs research on plenoptic cameras for close-range imaging in space. Possible applications are for example robot vision with plenoptic cameras for robotic arm operations during on-orbit servicing missions or the use of plenoptic cameras on rovers in the course of exploration missions to other planets. Those application scenarios and the demanding conditions in space require thorough comprehension of plenoptic cameras. For this purpose, this paper shall provide a detailed model of plenoptic cameras, which allows to derive camera parameters and optimize them with particular attention to the user requirements and to generate synthetic data. The latter can be utilized to assess the evaluation algorithms, which are not mentioned in detail in this paper. The modeling of the plenoptic camera is mainly based on the theory of geometric optics expanded by elements of diffraction optics.
- Published
- 2018
48. Challenges of a Digital Single Market from an Austrian perspective towards Smart Regulations
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Peter Egger, Dominik Geringer, Gerwald Gindra-Vady, Christina Gruber, Elisabeth Paar, Lukas Reiter, Karl Stöger, and Stefan Thalmann
- Subjects
algorithms ,algorithm awareness project ,article 22 gdpr ,article 101 tfeu ,artificial intelligence ,automated decision-making ,cartels ,competition law ,digital single gateway ,digital single market ,digital society ,e-government ,european commission ,highlevel expert group on artificial intelligence ,machine learning ,postal services ,product liability ,smart regulation ,software ,Law ,Law of Europe ,KJ-KKZ - Abstract
This paper discusses various legal challenges of the “digitisation of the single market”. The question arises to which extent the current regulatory framework appears suitable to deal with the presented challenges of digitisation and where additional regulation is required. In the field of autonomous decision-making by AI, we identified the most pressing need for new regulation. While the EU (and increasingly Austria, as well) is aware of this need, regulation to date remains scarce. Though the EU legislator has already taken specific precautions for the use of algorithms in the GDPR, such regulatory approaches are missing in most other fields of law. In contrast to this, antitrust law and product liability law already appear to be well suited to meet the challenges posed by digitisation. This is especially true for product liability law, which is in principle apt to cover the specific challenges of the convergence of software and hardware in smart products. However, uncertainty about its applicability to incorporeal goods would make clarification of current product liability legislation advisable – a view shared by the European Commission. Two more fields very recently received some legislative attention due to the changing needs of a digital society: the postal sector on the one hand, and e-government on the other hand. In both fields, new legislation – tellingly in the form of (partially) directly applicable regulations – has recently been passed by the EU – a sharp contrast to the case of self-learning AI. However, while the integration of the new regulation on cross-border parcel delivery will probably not pose major challenges for domestic markets, the implementation of the Single Digital Gateway will raise serious organisational and legal challenges for national administrations (especially when taking into account the limited success of the previous related initiative on the points of single contact under the Services Directive).
- Published
- 2019
- Full Text
- View/download PDF
49. Artificial Dreams: Contemporary Intersections Between Art and Technology
- Author
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Debora Pazetto Ferreira
- Subjects
art ,technology ,post-history ,artificial intelligence ,authorship ,Aesthetics ,BH1-301 - Abstract
This paper approaches the intersectional field between art and technology from a Flusserian perspective applied to an interesting example: images generated through the program Google Deep Dream. These digital images that look like surrealist paintings are made through a distortion in Google’s artificial neural networks. I argue that these images problematize philosophical dualisms, like those between human intelligence and artificial intelligence, authorship and anonymity, individuality and collectivity, domination and deviation, art and technology.
- Published
- 2019
- Full Text
- View/download PDF
50. ARTEMIS: State of the Art and Future Horizons
- Author
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Ana Díaz Galán and Maria del Carmen Fumero Pérez
- Subjects
Interlingua ,Unification ,Relation (database) ,Role and reference grammar ,Computer science ,media_common.quotation_subject ,computer.software_genre ,Rule-based machine translation ,Role and Reference Grammar ,ARTEMIS ,FunGramKB ,computational grammar ,media_common ,Natural Language Processing ,Parsing ,Grammar ,lcsh:P101-410 ,business.industry ,General Medicine ,language.human_language ,lcsh:Language. Linguistic theory. Comparative grammar ,language ,Artificial intelligence ,business ,computer ,Natural language processing ,Natural language - Abstract
The syntactic parser ARTEMIS (Automatically Representing Text Meaning via an Interlingua-based System) is a prototype intended to process natural language within the environment of the Functional Grammar Knowledge Base (FunGramKB) (Perinan-Pascual & Arcas-Tunez, 2010). Different from other parsing devices, ARTEMIS is grounded on two functional linguistic models: Role and Reference Grammar (RRG) (Van Valin & La Polla, 1997; Van Valin, 2005) and the Lexical Constructional Model (LCM) (Ruiz de Mendoza & Mairal Uson, 2008). However, certain adjustments have to be made to both models in order to meet the requirements derived from the fact that ARTEMIS follows the paradigm of Unification Grammars, in such a way that to comply with this paradigm, the GDE (Grammar Development Environment) within ARTEMIS needs to integrate two types of constructs: a catalogue of Attribute-Value Matrixes (AVMs) to describe grammatical units, and a set of production rules (grammatical, lexical and constructional) to allow it to produce a feature based grammar. It is the aim of this paper to give an overview of the investigation carried out so far within ARTEMIS in relation to these two aspects. We will do so by revisiting the literature in relation to the adjustments made to the linguistic models, especially to the RRG, and by reviewing the efforts made to describe the units and design the rules necessary for the parsing of simple sentences in English. Our paper will conclude by pointing at prospective research needed for the completion of this project.
- Published
- 2017
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