Surveillance Graphs: Vulgarity and Cloud Orthodoxy in Linked Data Infrastructures. unknown, 2023. [PUMA: ai artificial cloud computing data infrastructure intelligence linked semantic surveillance web] URL
Wiley and Oxford University Press confirm AI partnerships as Cambridge University Press offers 'opt-in'. 2024. [PUMA: access ai and artificial cambrigde francis intelligence open oxford press taylor university wiley] URL
Artificial Intelligence Creates a Wicked Problem for the Enterprise. Procedia Computer Science, (99):171–180, Elsevier BV, 2016. [PUMA: ai artificial intelligence intelligenz issue künstliche wicked] URL
Large Language Models to Generate System-Level Test Programs Targeting Non-functional Properties. arXiv, 2024. [PUMA: Artificial Intelligence Emerging Programming sciences, Languages Technologies (cs.SE), FOS: Engineering sciences (cs.PL), and (cs.ET), Computer Software (cs.AI), information] URL
Prinzipien der künstlichen Intelligenz: Wissensrepräsentation, Inferenz und Expertensysteme ; mit zahlreichen Aufgaben. In Michael M. [Verfasser/in] Richter (Hrsg.), Leitfäden und Monographien der Informatik, Teubner, Stuttgart, 1989. [PUMA: (Computer Artificial Expert Intelligenz. Künstliche importzotero intelligence. systems systems)]
Real food fake food: Why you don't know what you're eating & what you can do about it. Algonquin Books of Chapel Hill, Chapel Hill, North Carolina, 2016. [PUMA: Artificial additives;Food education;Food food foods;Consumer substitutes;Fraud;Nutrition;Quality]
Why we need biased AI: How including cognitive biases can enhance AI systems. Journal of Experimental & Theoretical Artificial Intelligence, 1--14, 2023. [PUMA: artificial bias;machine intelligence;cognitive iris learning]
Worldcoin-Projekt: Sams großer Traum. Handelsblatt, 144:46-51, 28.-30. 07 2023. [PUMA: AI Altman KI Sam artificial chatGPT intelligence irisscanner projekt technik wirtschaft worldcoin]
Transformer Winding Condition Assessment Using Feedforward Artificial Neural Network and Frequency Response Measurements.. Energies 2021, (14)3227Mai 2021. [PUMA: Artificial Assessment Condition Feedforward Frequency Measurements. Network Neural Response Transformer Using Winding and]
The AI Digital Revolution in Innovation: A Conceptual Framework of Artificial Intelligence Technologies for the Management of Innovation. IEEE Transactions on Engineering Management, 1-7, 2021. [PUMA: ai artificial entrepreneurship ieis-entrepinno intelligence myown te technology] URL
Artificial Low current Arc Faults for Pattern Recognition in Low voltage Switchgear. 2009. [PUMA: Arc Artificial Fault Low Switchgear current voltage]
Shifts in Collective Attention and Stock Networks. In My T. Thai, Nam P. Nguyen, und Huawei Shen (Hrsg.), Computational Social Networks, (9197):296--306, Springer International Publishing, New York, August 2015. [PUMA: (incl. Applications Artificial Collective Communication Computational Computer Data Database Discovery, Econophysics, Information Intelligence Internet), Knowledge Management, Mining Networks, Retrieval, Robotics), Stock Storage Systems Theory, and attention, crisis, financial networks science,] URL
Usage of Artificial Neural Networks for Pseudo Measurement Modeling in Low Voltage Distribution Systems. 2014. [PUMA: Artificial Distribution Low Measurement Modeling Networks Neural Pseudo Systems Voltage]
Hybrid planning - from theory to practice. In Susanne Biundo-Stephan, Malte Helmert, und Jörg Hoffmann (Hrsg.), Universität Ulm, 2018. [PUMA: ai artificial assistance automated informatik intelligence intelligenz künstliche planning planung system] URL
Deep neural networks for acoustic emotion recognition: Raising the benchmarks. 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 5688-5691, Mai 2011. [PUMA: Analysis; Computing;Deep Discriminant Networks;Emotion Neural Recognition;Generalized acoustic analysis;linear artificial classification;multilayer discriminant emotion extraction;Speech;Support extraction;neural feature;acoustic machine;Acoustics;Artificial machines;Affective machines;GerDA nets;support network;support networks;Databases;Emotion networks;generalized neural processing;emotion recognition;Feature recognition;deep recognition;feature signal vector]