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Marcus Grum
Приєднався 27 сер 2010
Harmonizing distributed Artificial Neural Networks - Investigation of activation cycles and rates
This presentation shortly presents an overview of researching activation types of Artificial Neural Networks, namely combinations of different activation cycles and activation rates, in context of interwoven cognitive production networks. It presents a simulation system, experiments using this simulation system as well as management interventions to reduce inefficiencies. This has been based on 14 novel forms of rhythmic state descriptions for dynamic systems.
00:00 Introduction
00:34 Motivation for Researching Interwoven Cognitive Production Networks
03:29 Design of Interlinked ANN-Based Production Systems
17:10 Experiments on Multi-Site ANN-Based Production Chains
24:05 Management Interventions for Avoiding Inefficiencies
25:26 Conclusion
26:57 References
You can find futher information at the corresponding article:
Grum, M. (2024a). Managing Multi-Site Artificial Neural Networks' Activation Rates and Activation Cycles - Demonstrating the Effects of Activation Types on ANN-based Cyber-Physical Production Systems. In: Technical Report BIS-AI-AS-2024-01, First Edition, January 2024, J.-Chair of Business Information Systems, esp. AI-based Appl. Sys., University of Potsdam, Potsdam, Germany.github.com/MarcusGrum/AI-CPS/blob/main/documentation/experiment05/publications/TechnicalReport_BIS-AI-AS-2024-01.pdf
Grum, M. (2024b). Researching Multi-Site Artificial Neural Networks’ Activation Rates and Activation Cycles. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2024. Lecture Notes in Business Information Processing, vol 523. Springer, Cham.
Grum, M. (2024c). Managing Multi-site Artificial Neural Networks’ Activation Rates and Activation Cycles. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2024. Lecture Notes in Business Information Processing, vol 523. Springer, Cham.
You can find further details at my public github repository:
Grum, M. (2024d). AI-CPS-Repository, github.com/MarcusGrum/AI-CPS/tree/main
00:00 Introduction
00:34 Motivation for Researching Interwoven Cognitive Production Networks
03:29 Design of Interlinked ANN-Based Production Systems
17:10 Experiments on Multi-Site ANN-Based Production Chains
24:05 Management Interventions for Avoiding Inefficiencies
25:26 Conclusion
26:57 References
You can find futher information at the corresponding article:
Grum, M. (2024a). Managing Multi-Site Artificial Neural Networks' Activation Rates and Activation Cycles - Demonstrating the Effects of Activation Types on ANN-based Cyber-Physical Production Systems. In: Technical Report BIS-AI-AS-2024-01, First Edition, January 2024, J.-Chair of Business Information Systems, esp. AI-based Appl. Sys., University of Potsdam, Potsdam, Germany.github.com/MarcusGrum/AI-CPS/blob/main/documentation/experiment05/publications/TechnicalReport_BIS-AI-AS-2024-01.pdf
Grum, M. (2024b). Researching Multi-Site Artificial Neural Networks’ Activation Rates and Activation Cycles. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2024. Lecture Notes in Business Information Processing, vol 523. Springer, Cham.
Grum, M. (2024c). Managing Multi-site Artificial Neural Networks’ Activation Rates and Activation Cycles. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2024. Lecture Notes in Business Information Processing, vol 523. Springer, Cham.
You can find further details at my public github repository:
Grum, M. (2024d). AI-CPS-Repository, github.com/MarcusGrum/AI-CPS/tree/main
Переглядів: 64
Відео
Konzept des Neuronalen Modellierens
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Ein herzliches Dankeschön geht an die Stiftung Werner-von-Siemens-Ring für meine Auszeichnung als Jungwissenschaftler 2023: „Dr. Marcus Grum von der Universität Potsdam hat das Forschungsfeld des prozessorientierten KI-basierten Systemdesigns erschlossen und einen methodischen Ansatz entwickelt, der es [z.B.] ermöglicht, Maschinen oder Geschäftsprozesse mit Hilfe von künstlichen neuronalen Netz...
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Learning representations by crystallized back-propagating errors
Переглядів 40Рік тому
This presentation shortly presents an overview of the article called "Learning representations by crystallized back-propagating errors" which provides an approach that guides the training of ANNs. Moreover, it presents a mechanism for preserving knowledge of or in ANNs a) in continual learning environments as well as b) transfer learning. 00:00 Introduction 00:13 Motivation to deal with back-pr...
AI Case-Based Reasoning for Artificial Neural Networks
Переглядів 118Рік тому
This presentation shortly presents an overview of the article called "AI Case-Based Reasoning for Artificial Neural Networks" that provides an approach that supports the optimal creation, provision and utilization of ANNs. Moreover, it presents a mechanism for AI case-based reasoning for ANNs. 00:00 Introduction 00:15 Motivation to deal with distributed knowledge bases 05:31 Methodological appr...
Context-Aware, Intelligent Musical Instruments For Improving Knowledge-Intensive Business Processes
Переглядів 292 роки тому
This presentation shows the SensGuitar as context-aware, intelligent musical instrument for improving knowledge-intensive business processes. The SensGuitar is the world's first cyber-physical musical instrument as a guitar that intelligently adapts to your sensitivities. In addition to traditional guitar components, the SensGuitar offers two types of displays, different types of computers, num...
Presentation of the Environment of the SensGuitar
Переглядів 462 роки тому
This presentation shows the environment, business models and ecosystem of the SensGuitar and is part of a series of presentations. The SensGuitar is the world's first cyber-physical musical instrument as a guitar that intelligently adapts to your sensitivities. In addition to traditional guitar components, the SensGuitar offers two types of displays, different types of computers, numerous senso...
Presentation of the Prototype Demonstration of the SensGuitar
Переглядів 262 роки тому
This presentation shows the prototype demonstration of the SensGuitar and is part of a series of presentations. The SensGuitar is the world's first cyber-physical musical instrument as a guitar that intelligently adapts to your sensitivities. In addition to traditional guitar components, the SensGuitar offers two types of displays, different types of computers, numerous sensors, 13 audio ports ...
Presentation of the Conceptual Demonstration of the SensGuitar
Переглядів 212 роки тому
This presentation shows the conceptual demonstration of the SensGuitar and is part of a series of presentations. The SensGuitar is the world's first cyber-physical musical instrument as a guitar that intelligently adapts to your sensitivities. In addition to traditional guitar components, the SensGuitar offers two types of displays, different types of computers, numerous sensors, 13 audio ports...
Presentation of the Design of the SensGuitar
Переглядів 352 роки тому
This presentation shows the design of the SensGuitar and is part of a series of presentations. The SensGuitar is the world's first cyber-physical musical instrument as a guitar that intelligently adapts to your sensitivities. In addition to traditional guitar components, the SensGuitar offers two types of displays, different types of computers, numerous sensors, 13 audio ports (input and output...
Presentation of the Foundation of the SensGuitar
Переглядів 422 роки тому
This presentation shows the theoretical and technical foundation of the SensGuitar and is part of a series of presentations. The SensGuitar is the world's first cyber-physical musical instrument as a guitar that intelligently adapts to your sensitivities. In addition to traditional guitar components, the SensGuitar offers two types of displays, different types of computers, numerous sensors, 13...
SensGuitar at 360 Degrees for Shorts
Переглядів 312 роки тому
This video shows the SensGuitar (Prototype Version 1) at 360 degrees. The video does not show rendered 3D animations, but shots taken with a video camera from the real prototype. The SensGuitar is the world's first cyber-physical musical instrument as a guitar that intelligently adapts to your sensitivities. In addition to traditional guitar components, the SensGuitar offers two types of displa...
The SensGuitar Teaser
Переглядів 2,7 тис.2 роки тому
This 1-minute-video teases the SensGuitar. The video does not show rendered 3D animations, but shots taken with a video camera from the real prototype. The SensGuitar is the world's first cyber-physical musical instrument as a guitar that intelligently adapts to your sensitivities. In addition to traditional guitar components, the SensGuitar offers two types of displays, different types of comp...
Managing Knowledge of Intelligent Systems - The Design of a Chatbot using Domain-Specific Languages
Переглядів 362 роки тому
This presentation shortly presents an overview of the idea of managing intelligent systems, such as chatbots in order to control knowledge transfers. It presents process models and clarifies the underpinning domain-specific languages. 00:00 Introduction 01:24 Motivation: How can knowledge of intelligent systems be managed? 03:25 Methodology: What do results of a design science resarch approach ...
Quantification of Knowledge Transfers - The Design of an Experiment Setting
Переглядів 352 роки тому
Quantification of Knowledge Transfers - The Design of an Experiment Setting
Zum Konzept des Neuronalen Modellierens (CoNM)
Переглядів 1733 роки тому
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Towards A Concept Of Neuronal Modeling (CoNM)
Переглядів 1343 роки тому
Towards A Concept Of Neuronal Modeling (CoNM)